Connect DataRobot to Definable AI
DataRobot is a machine learning platform that automates model building, deployment, and monitoring, enabling organizations to derive predictive insights from large datasets
About DataRobot
DataRobot is a productivity tool. Connect it to Definable AI with one-click OAuth2 — no API keys or custom code required.
What you can automate with DataRobot
Use Definable AI's agent platform to trigger workflows from DataRobot, process results with 50+ AI models, and sync data across 900+ connected apps.
Tools & Actions (848 available)
- Add Files to Catalog Item from URL: Tool to add file(s) into an existing files catalog item from a URL. Use when you need to add additional files from a URL to an existing DataRobot files catalog item. The file download and processing happens asynchronously - poll the returned location URL to check status.
- Add Files to Existing Catalog Item: Tool to add file(s) to an existing DataRobot files catalog item. Use when you need to upload additional files to an existing catalog entry. The file addition is asynchronous - poll the returned location URL to check status.
- Add User Blueprints to Project: Add user blueprints to a DataRobot project's repository. Use when you want to make custom blueprints available for modeling in a specific project.
- Add User to Organization: Tool to add a user to an existing organization. Use when you have an organizationId and wish to add or create a user within it.
- Add Users to Group: Tool to add one or more users to a DataRobot user group by groupId. Use when you have a valid groupId and want to add existing usernames. Limit 100 users per request.
- Analyze Dataset Definition: Tool to analyze a dataset definition by ID. Use when you need to trigger an analysis job that retrieves dataset metadata, schema, and statistics.
- Archive Model Package: Tool to archive a DataRobot model package. Use when you need to archive a model package that is no longer actively used.
- Batch Create Notebook Cells: Tool to batch create multiple cells in a DataRobot notebook. Use when you need to add multiple code or markdown cells to an existing notebook at a specific position. The cells are inserted after the specified cell ID, allowing precise control over cell placement.
- Batch Delete Notebook Cells: Tool to batch delete multiple cells from a DataRobot notebook. Use when you need to remove multiple cells at once by their cell IDs. The deletion is permanent and cannot be undone.
- Batch Transform Feature Types: Create multiple new features by transforming existing features to a different variable type. Use when you need to convert feature types in bulk (e.g., numeric to categorical, text to numeric). The operation is asynchronous - monitor the returned Location URL for completion status.
- Build Java Scoring Code Package: Initiates an asynchronous build of a Java JAR package containing DataRobot Scoring Code for a deployment. The JAR can be executed locally for predictions or used as a library in Java applications. Use after confirming the deployment is active and supports scoring code. Poll the returned statusId or location URL to track build progress.
- Calculate Model Feature Impact: Tool to add a request to calculate feature impact for a DataRobot model to the job queue. Use this to understand which features have the most influence on model predictions. The operation is asynchronous - poll the returned location URL to check job status.
- Cancel Notebook Job: Tool to cancel a running or pending notebook job execution. Use when you need to stop a notebook job that is currently executing or queued. The cancellation is immediate and cannot be undone.
- Cancel Project Job: Tool to cancel a pending job for a project. Use when you need to stop a queued or running job after confirming its ID.
- Check Project Status: Tool to check the status of a DataRobot project. Use after creating or loading a project to monitor its stage and Autopilot completion.
- Clone Application Template: Tool to clone an application template into a codespace. Use when you need to create a new codespace from an existing template.
- Clone Custom Model: Tool to clone an existing custom model in DataRobot. Use when you need to create a copy of a custom model for reuse or experimentation.
- Clone DataRobot Project: Tool to clone an existing DataRobot project. Use when you need to create a copy of a project with its dataset and optionally its settings. Project cloning happens asynchronously - use DATAROBOT_CHECK_PROJECT_STATUS to verify completion.
- Clone Files Collection: Tool to create a duplicate files collection in DataRobot. Use when you need to clone an existing files catalog item, optionally excluding specific files. The cloning operation is asynchronous - poll the returned location URL to check status.
- Clone Notebook from Revision: Tool to clone a notebook from an existing revision, creating a new notebook as a copy. Use when you need to create a new notebook based on a specific revision of an existing notebook. The operation is asynchronous and returns immediately with the new notebook ID.
- Copy File or Folder: Tool to copy a file or folder within the same DataRobot catalog item. Use when you need to duplicate files or folders in the data registry with configurable overwrite strategies.
- Copy Files in Batch: Tool to copy multiple files or folders in a batch operation within DataRobot's data registry. Use when you need to copy multiple files at once, either within the same catalog item or to a different catalog item.
- Create Access Role: Create a custom Access Role for an organization. Use to define tailored permission sets controlling user access to DataRobot entities (projects, deployments, datasets, etc.). Requires an organization ID which can be obtained from the account info endpoint.
- Create Advanced-Tuned Model: Submit a job to create a new version of a DataRobot model with different advanced tuning parameters. Use this to fine-tune model hyperparameters beyond the default Autopilot settings. The operation is asynchronous - poll the returned location URL to check job status.
- Create Automated Document: Tool to request generation of automated compliance documents in DataRobot. Use when you need to generate documentation for projects, models, or deployments. The document generation is asynchronous. Poll the returned location URL to check status and retrieve the document once generation completes.
- Create Batch Monitoring Job: Tool to create a DataRobot Batch Monitoring job for tracking model performance and data drift on batch predictions. Use when you need to monitor predictions at scale. The job is created asynchronously and returns immediately with a job ID.
- Create Batch Monitoring Job Definition: Tool to create a Batch Monitoring job definition for tracking deployment performance and data drift. Use when you need to set up scheduled or manual monitoring jobs for a DataRobot deployment.
- Create Batch Prediction Job Definition: Tool to create a Batch Prediction job definition. Use when you need to manually or scheduled scoring on large datasets.
- Create Batch Predictions: Tool to create a new batch predictions job in DataRobot. Use when you need to score large datasets using a deployment, model, or model package. The job processes predictions asynchronously.
- Create Batch Predictions From Existing: Tool to create a new Batch Prediction job based on an existing job's configuration. Use when you need to re-run predictions with the same settings.
- Create Batch Predictions From Job Definition: Tool to launch a Batch Prediction job from a job definition. Use when you need to execute a previously created batch prediction job definition for scoring.
- Create Bias Mitigation Feature Info: Tool to submit a job to create bias mitigation data quality information for a given project and feature. Use when you need to create bias mitigation feature info for fairness analysis.
- Create Blender Model: Tool to create a blender model from multiple existing models in a DataRobot project. Blenders combine predictions from multiple models using methods like averaging or stacking. Use this after training multiple models to create an ensemble that may improve prediction accuracy.
- Create Calendar from Dataset: Tool to create a calendar from a dataset in DataRobot. Use when preparing time-series projects that require custom calendar definitions. Calendar creation is asynchronous - use the returned statusId to monitor progress.
- Create Calendar from File Upload: Tool to create a DataRobot calendar by uploading a CSV or XLSX file containing date events. Use when you need to define custom calendars for time-series modeling with specific event dates. The operation is asynchronous - poll the returned location URL to check completion status.
- Create Calendars from Country Code: Initialize generation of preloaded calendars from a country code. Creates calendars with national holidays for the specified country and date range. Calendar generation is asynchronous - poll the returned location URL to check completion status.
- Create Change Request: Create a Change Request for a DataRobot deployment to enable governance workflows. Use when you need to request approval for deployment changes such as changing importance, replacing models, updating status, or deleting deployments. Change requests require approval from authorized reviewers before changes can be applied.
- Create Code Snippets: Tool to generate code snippets for DataRobot models, predictions, or workloads. Use when you need sample code to interact with DataRobot models, make predictions, or process workloads in various programming languages.
- Create Comment: Tool to create a comment on a DataRobot entity (deployment, use case, model, catalog, etc.). Use when you need to add notes, feedback, or documentation to DataRobot objects.
- Create Compliance Doc Template: Tool to create a new compliance documentation template in DataRobot. Use when you need to define a reusable structure for model compliance documentation. Templates can include DataRobot-generated content, user-provided text, custom sections, and table of contents. Sections can be nested up to 5 levels deep with a maximum of 500 total sections.
- Create Credentials: Store a new set of credentials in DataRobot for use with data sources and connections. Supports multiple credential types including basic auth, OAuth, cloud provider credentials (AWS, GCP, Azure), and database-specific authentication. Use when you need to securely store credentials for connecting to external data sources or services.
- Create Custom Application Source: Tool to create a custom application source in DataRobot. Use when you need to create a new source for custom applications.
- Create Custom Application Source From Template: Tool to create a custom application source from a custom template. Use when you need to instantiate a new application source based on an existing custom template.
- Create Custom Application Source Version: Create a new custom application source version in DataRobot. Use when you need to create a new version of an existing custom application source with optional file uploads, environment configuration, or based on a previous version.
- Create Custom Job: Tool to create a new DataRobot custom job. Use when you need to define a custom execution task that runs arbitrary Python code in DataRobot's managed environment. Only the 'name' field is required; DataRobot applies sensible defaults for other fields.
- Create Custom Job Hosted Custom Metric Template: Tool to create a hosted custom metric template for a DataRobot custom job. Use when defining how custom metrics should be collected and aggregated for observability. The template must specify whether metrics are model-specific, the aggregation type, and for numeric metrics, directionality and units.
- Create Custom Jobs Cleanup: Tool to permanently delete a custom job. Use when you need to permanently remove a soft-deleted custom job and all its components. The custom job must be soft-deleted first before permanent deletion.
- Create Custom Model: Tool to create a new DataRobot custom model for training or inference. Use when you need to register a custom model in DataRobot. For inference models, targetType and targetName are typically required (e.g., targetType='Regression' requires targetName).
- Create Custom Model Version: Tool to create a new version for an existing DataRobot custom model. Use when you need to update a custom model with new code files, environment changes, or configuration updates. Creates either a major or minor version based on the isMajorUpdate parameter.
- Create Custom Task: Tool to create a new DataRobot custom task (custom model) for training or inference. Custom tasks allow you to deploy custom code alongside DataRobot's AutoML capabilities. Use after defining your custom model code and before deploying it to production.
- Create Data Disparity Insights: Tool to start data disparity insight calculations for a DataRobot model. Use when you need to analyze data disparity between two classes for a specific feature. The calculation is asynchronous; poll the returned location URL to check job status and retrieve results.
- Create Data Engine Workspace State: Create a Data Engine workspace state by executing a SQL query against DataRobot datasets. Use when you need to transform, join, or prepare data before modeling. The workspace state captures the query definition and can be used to generate new datasets or feed into projects.
- Create Data Slice: Create a new data slice in a DataRobot project to define a subset of data based on feature filters. Use when you need to analyze or model specific segments of your data (e.g., high-value customers, specific regions). Supports up to 3 filters with operators: eq, in, <, >, between, notBetween.
- Create Data Slice Size Computation: Tool to compute the number of rows available after applying a data slice to a dataset subset. Use when validating data slice filters or checking how many rows will be included in analysis for a specific data partition. Returns slice size and validation messages. Status 202 indicates successful validation.
- Create Data Stage: Tool to create a data stage in DataRobot. Use when you need to create a new data stage with a specified filename for data staging operations.
- Create DataRobot Project: Create a new DataRobot project from a dataset URL, existing dataset ID, or data source connector. Returns immediately with a project ID and status URL - project creation happens asynchronously. Use DATAROBOT_CHECK_PROJECT_STATUS or DATAROBOT_GET_PROJECT to verify the project is ready before starting modeling.
- Create Dataset Chunk Definition: Tool to create a chunk definition for a dataset definition in DataRobot. Use when you need to define how to partition a dataset into chunks for distributed processing or validation strategies.
- Create Dataset Definition: Create a dataset definition in DataRobot to define how to access and use a dataset from the AI Catalog. Use when you need to establish a reusable definition for a dataset that can be referenced in projects and deployments.
- Create Dataset Feature List: Tool to create a custom feature list within a dataset. Use when you need to define a specific subset of features for analysis or modeling.
- Create Dataset Feature Transform: Tool to create a feature transform on a DataRobot dataset. Use when you need to transform an existing feature into a new feature with a different type or extract date components. Feature creation is asynchronous - poll the returned location URL to check status.
- Create Dataset Refresh Job: Tool to schedule a dataset refresh job in DataRobot. Use when you need to automate periodic data updates for a dataset. The schedule must be at least daily (hourly schedules are not supported).
- Create Dataset Relationships: Tool to create dataset relationships in DataRobot by linking features between two datasets. Use when you need to enable advanced feature engineering across multiple datasets for modeling.
- Create Dataset Version from File: Tool to create a new version of an existing DataRobot dataset by uploading a file (CSV, Excel, etc.). Use when you need to update an existing dataset with new data. Dataset version creation is asynchronous - poll the statusId to monitor completion.
- Create Dataset Version from Latest Version: Tool to create a new dataset version from the latest version of its data source. Use when you need to refresh a dataset with updated data from its original source. The dataset version creation is asynchronous - poll the returned location URL to check completion status.
- Create Dataset Version from Previous Version: Tool to create a new dataset version from a specific previous version of its data source. Use when you need to refresh a dataset based on a particular historical version. The dataset version creation is asynchronous - poll the returned location URL to check completion status.
- Create Dataset Version from URL: Tool to create a new version for an existing DataRobot dataset from a publicly accessible URL. Use when you need to update an existing dataset with new data from HTTP/HTTPS URLs. Returns immediately with status ID - version creation happens asynchronously.
- Create Dataset from Data Source: Tool to create a dataset from an external data source connector (database, S3, etc.). Use when you need to import data from a configured data source into DataRobot. The dataset creation is asynchronous - poll the returned location URL to check completion status.
- Create Dataset from File: Tool to create a DataRobot dataset by uploading a file (CSV, Excel, etc.). Use when you need to upload data files to DataRobot's global catalog for modeling or prediction. Dataset creation is asynchronous - poll the statusId to monitor completion.
- Create Dataset from Recipe: Tool to create a dataset from a DataRobot wrangling recipe. Use when you need to materialize a recipe into a reusable dataset. Creation is asynchronous - poll the location URL to check completion status.
- Create Dataset from URL: Tool to create a DataRobot dataset from a publicly accessible URL. Use when you need to import data from HTTP/HTTPS URLs into DataRobot's data catalog. Returns immediately with catalog and status IDs - dataset ingestion happens asynchronously.
- Create Datetime Model From Model: Tool to retrain an existing datetime model with specified parameters. Use when you need to create a new version of a datetime model with different training settings, sample size, or feature list. This action is asynchronous and returns a job URL to monitor progress.
- Create Deployment: Create a DataRobot deployment from a model package to enable real-time or batch predictions. Prerequisites: 1. First obtain a modelPackageId using LIST_MODEL_PACKAGES or CREATE_MODEL_PACKAGE 2. Optionally get predictionEnvironmentId using LIST_PREDICTION_ENVIRONMENTS 3. For managed SaaS, get defaultPredictionServerId using LIST_PREDICTION_SERVERS The deployment is created asynchronously. Poll the returned location URL to check readiness status.
- Create Deployment Actuals from Dataset: Tool to submit actuals values from AI Catalog dataset for deployment monitoring. Use when you need to upload actual outcomes for predictions to enable accuracy tracking and monitoring. The submission is asynchronous - poll the Location header URL to check completion status.
- Create Deployment Actuals from JSON: Submit actual values for predictions to a DataRobot deployment. Use this to track model accuracy and performance over time by providing ground truth values that can be compared against predictions.
- Create Deployment Custom Metric: Create a deployment custom metric for monitoring deployment or model-specific metrics. Use for numeric metrics (average, gauge, sum) or categorical metrics to track custom KPIs beyond standard monitoring.
- Create Deployment Custom Metric from Custom Job: Tool to create a deployment custom metric from an existing custom job in DataRobot. Use when you need to track custom business or operational metrics for a deployment. The custom job must have an associated hosted custom metric template.
- Create Deployment Custom Metrics Bulk Upload: Bulk upload custom metric values to a DataRobot deployment. Use this to efficiently submit multiple timestamped custom metric values in a single request for model monitoring and observability.
- Create Deployment Monitoring Batch: Tool to create a monitoring batch for a DataRobot deployment. Use when you need to organize predictions into named batches for monitoring and tracking purposes. Monitoring batches help group related predictions for analysis and reporting.
- Create Deployment Prediction Data Export: Tool to create a prediction data export for a deployment. Use when you need to export prediction data for observability and data exploration.
- Create Deployment Retraining Policy: Tool to create a deployment retraining policy in DataRobot. Use when you need to set up automated model retraining based on schedules, data drift, or accuracy decline triggers.
- Create Deployment Training Data Export: Tool to create a deployment training data export in DataRobot. Use when you need to export the training data used for a deployed model. The export is enqueued asynchronously and processes in the background. Poll the returned location URL to check export status and retrieve the data once ready.
- Create Deployments Actuals Data Exports: Tool to create a deployment actuals data export for a specified time period. Use when you need to export actuals data from a deployment to analyze model performance and accuracy.
- Create Empty Files Catalog Item: Tool to create an empty files catalog item in DataRobot. Use when you need to create a placeholder catalog entry before uploading files to it. After creating the empty catalog item, use CREATE_FILES_FROM_FILE or CREATE_FILES_FROM_URL to populate it with actual files.
- Create Entity Notification Channel: Tool to create an entity notification channel in DataRobot. Use when you need to set up notifications for deployments or custom jobs.
- Create Entity Notification Policy: Tool to create an entity notification policy in DataRobot. Use when you need to set up automated notifications for specific events on deployments or custom jobs (e.g., health changes, model replacements, batch job completions). Requires a pre-existing notification channel; create one via the entity notification channels endpoint first.
- Create Entity Notification Policy Template: Tool to create an entity notification policy template in DataRobot. Use when you need to set up notification rules for deployments or custom jobs. Templates allow you to define reusable notification policies that can be applied to multiple entities.
- Create Entity Notification Policy from Template: Tool to create an entity notification policy from a template. Use when you need to set up automated notifications for events on deployments or custom jobs. The policy defines when notifications should be sent and through which channel (email, Slack, webhook, etc.).
- Create Entity Tag: Tool to create a new entity tag in DataRobot. Use when you need to tag experiment containers for organization and categorization.
- Create Execution Environment Version: Tool to create a new version for an existing DataRobot execution environment. Use when you need to add a new version to an execution environment by specifying a Docker image URI, Docker context, or Docker image file. The environment version build is asynchronous - the API returns immediately with a 202 status.
- Create External Data Sources: Tool to create a new external data source in DataRobot. Use when you need to create a connection to an external database or filesystem. Requires a valid dataStoreId from an existing data store connection.
- Create External Data Store: Tool to create a new external data store in DataRobot. Use when establishing a connection to external databases or data systems. The created data store ID can then be used with CREATE_EXTERNAL_DATA_SOURCES to define specific tables or queries.
- Create External Data Store Standard UDF: Tool to start a job that creates a standard user-defined function in an external data store. Use when you need to add rolling aggregation functions (median or most frequent) to a database for use in DataRobot feature engineering. Requires write permissions to the data store.
- Create External OAuth Provider: Create an external OAuth provider configuration in DataRobot for integrating with external services. Use this to configure OAuth authentication for services like GitHub, GitLab, Bitbucket, Google, Box, Microsoft, Jira, or Confluence. The provider enables secure authentication flows for accessing external resources from DataRobot.
- Create Feature Association Matrix: Tool to compute a feature association matrix for a DataRobot project using a specific featurelist. Use when you need to analyze feature correlations and associations in a project. The computation is asynchronous and returns immediately with a job ID to monitor progress.
- Create Feature Effects: Tool to request Feature Effects calculation for a DataRobot model. Feature Effects show how each feature impacts predictions, including partial dependence and predicted vs actual relationships. Use when you need to compute Feature Effects for model interpretability analysis. The computation is asynchronous - use the returned location URL to poll for completion status.
- Create Feature List: Tool to create a new featurelist in a DataRobot project. Use when you need to define a custom set of features for model training.
- Create File Stage: Tool to create an empty stage for File Registry files upload. Use when you need to upload files to DataRobot's File Registry. The stage acts as a temporary upload container before finalizing the file.
- Create File Version Download Links: Tool to generate temporary download URLs for catalog file versions. Use when you need to retrieve data from a catalog item and version via URLs. The generated URLs expire after the specified duration (default 600 seconds, maximum 3000 seconds).
- Create Files Download Links: Tool to generate temporary download URLs for files in a catalog item. Use when you need to retrieve data from an unstructured dataset via direct download links. The generated URLs are temporary and valid for the specified duration (default 10 minutes, max 50 minutes).
- Create Files Downloads: Tool to generate a temporary download URL for a DataRobot catalog file. Use when you need to download data from a catalog item. The download URL is valid for a limited time (default 60 seconds, maximum 5 minutes).
- Create Files From Stage: Tool to apply staged files to a catalog item. Use when you need to finalize and commit files from a stage to a files catalog item.
- Create Files From URL: Tool to create a files catalog item in DataRobot from a URL. Use when you need to import files from a publicly accessible URL into the DataRobot catalog. The file is downloaded and processed asynchronously - use GET_CATALOG_ITEM to check the import status.
- Create Frozen Model: Train a new frozen model with parameters from an existing model. Frozen models replicate the training parameters and hyperparameters of a source model, allowing you to retrain with different sample sizes or cluster counts while maintaining consistent methodology. Use when you want to test how a model performs with different data sizes or clustering configurations without changing its fundamental approach.
- Create GenAI Chat Prompts: Tool to create a GenAI chat prompt and execute it with an LLM. Use when you want to send a prompt to a DataRobot LLM for completion, optionally leveraging vector database retrieval for RAG workflows.
- Create GenAI Comparison Chat: Tool to create a new GenAI comparison chat within a playground for comparing different LLM responses. Use when you need to set up a new comparison chat environment to evaluate multiple model outputs side-by-side.
- Create GenAI Custom Model Embedding Validations: Tool to create and run validation tests for GenAI custom model embeddings. Use when you need to verify that a custom model deployment meets DataRobot's requirements for embedding generation before using it in production.
- Create GenAI Custom Model LLM Validations: Tool to create a GenAI custom model LLM validation. Use when you need to test and validate LLM deployment behavior. Returns a validation object with status TESTING initially; poll the validation status to check completion.
- Create GenAI Custom Model Vector Database Validation: Create a validation for a GenAI custom model deployment's vector database capabilities. Returns immediately with validation ID - validation runs asynchronously and status can be checked using the returned ID. Use when you need to verify that a custom model deployment can properly handle vector database operations for RAG (Retrieval-Augmented Generation) use cases.
- Create GenAI Custom Model Version: Tool to create a GenAI custom model version from an LLM blueprint in DataRobot. Use when you need to register a custom model version for deployment or testing. Prerequisites: You must first create an LLM blueprint before calling this endpoint.
- Create GenAI Evaluation Dataset Configuration: Tool to create a GenAI evaluation dataset configuration for testing LLM applications. Use when you need to set up evaluation datasets with prompt columns and optional response/tool call columns for assessing GenAI playground outputs. Required for running AI robustness tests on GenAI use cases.
- Create GenAI LLM Blueprint: Tool to create a new GenAI LLM blueprint for generative AI applications. Use when you need to configure an LLM with specific settings, system prompts, and optional RAG capabilities. Requires a valid playgroundId and llmId. Set llmId to 'custom-model' when using customModelLlmSettings.
- Create GenAI LLM Blueprint from LLM Blueprint: Tool to create a new GenAI LLM Blueprint by copying from an existing LLM Blueprint. Use when you need to duplicate an LLM blueprint configuration with modifications or for version control. The new blueprint inherits all properties from the source blueprint except for the name and description.
- Create GenAI LLM Blueprints from Chat Prompt: Tool to create a GenAI LLM blueprint from an existing chat prompt. Use when you have a chat prompt ID and want to convert it into a reusable LLM blueprint for experimentation and deployment.
- Create GenAI LLM Test Configuration: Tool to create a GenAI LLM test configuration for AI robustness testing. Use when you need to set up automated testing for LLM outputs against metrics like toxicity, jailbreak attempts, or PII leakage.
- Create GenAI LLM Test Suite: Tool to create a new GenAI LLM test suite for evaluating LLM applications. Use when you need to group LLM test configurations together for AI robustness testing. Requires a valid useCaseId - use DATAROBOT_LIST_USE_CASES to find available use cases.
- Create GenAI Playground: Tool to create a new GenAI playground for experimenting with LLM applications. Use when you need to set up a new playground environment associated with a specific use case.
- Create GenAI Playground OOTB Metric Configurations: Tool to create OOTB (Out-of-the-Box) metric configurations for a GenAI playground. Use when you need to add performance, safety, and governance metrics to monitor LLM responses in a playground.
- Create GenAI Playground Trace Dataset: Tool to create a trace dataset for a GenAI playground. Use when you need to create a dataset for storing playground traces associated with a specific playground ID.
- Create Guard Configuration: Create a guard configuration to monitor and control AI model behavior during prompt and response stages. Guards can detect issues like PII, toxic content, off-topic responses, or custom validation rules. Requires a templateId (from DATAROBOT_LIST_GUARD_TEMPLATES) and entityId (custom model or playground).
- Create Guard Configurations to New Custom Model Version: Tool to apply guard configurations to a new custom model version in DataRobot. Creates a new version with the specified moderation guards. Use when you need to add toxicity detection, PII filtering, or other content moderation to a custom model.
- Create Insights Lift Chart: Tool to request calculation of a Lift chart insight in DataRobot. Use when you need to analyze model performance across population segments with optional data slicing. The Lift chart calculation is asynchronous. Poll the returned location URL to check status and retrieve results once calculation completes.
- Create Insights SHAP Distributions: Tool to request calculation of SHAP Distributions in DataRobot. Use when you need to analyze the distribution of SHAP values across features with optional data slicing. SHAP (SHapley Additive exPlanations) Distributions help understand how feature values contribute to model predictions across the dataset. The calculation is asynchronous - poll the returned location URL to check status and retrieve results once calculation completes.
- Create Insights SHAP Matrix: Tool to request calculation of a SHAP Matrix insight in DataRobot. Use when you need feature importance explanations showing how each feature impacts model predictions, with optional data slicing. The SHAP Matrix calculation is asynchronous. Poll the returned location URL to check status and retrieve results once calculation completes.
- Create Model Package: Tool to create a model package from a DataRobot Leaderboard model. Use after a model is trained and you need an offline package.
- Create Model Package from JSON: Tool to create a DataRobot model package from JSON metadata. Use when you have custom model metadata and want to register it as a model package without a Leaderboard model.
- Create Modeling Featurelist: Tool to create a new modeling featurelist in a DataRobot project. Use when you need to define a custom set of features for model training.
- Create Notebook: Tool to create a new notebook in DataRobot Workbench for interactive code development. Use when you need to create a Jupyter notebook for data exploration, analysis, or model development.
- Create Notebook Environment Variables: Tool to create one or more environment variables for a specific notebook. Use when you need to add environment variables like API keys, credentials, or configuration values to a notebook.
- Create Notebook Job: Tool to create a scheduled notebook job in DataRobot. Use when you need to run a Jupyter notebook on a schedule or programmatically. The notebook must exist in DataRobot Codespaces before creating the job. Configure cron-like schedules to automate notebook execution.
- Create Notebook Job Manual Run: Tool to manually trigger a notebook job run in DataRobot. Use when you need to execute a notebook on-demand with optional parameters. For Codespace notebooks, both notebookId and notebookPath are required.
- Create Notebook Revision: Tool to create a new revision for a DataRobot notebook. Use when you need to save a checkpoint of a notebook's current state for version control or tracking changes.
- Create Notebook Runtime Client Activity: Tool to record client activity for a running notebook session. Use when tracking notebook session heartbeats or activity. This endpoint helps DataRobot track that a notebook session is still active.
- Create Notebook from File: Tool to create a new notebook in DataRobot by uploading a notebook file. Use when you need to import an existing Jupyter notebook (.ipynb) into DataRobot. The notebook is created asynchronously and returns immediately with notebook metadata.
- Create Notification Channel Template: Tool to create a notification channel template in DataRobot. Use when you need to set up notification channels for alerts, monitoring, or integration with external services. Different channel types require different parameters (e.g., Email requires emailAddress, Webhook requires payloadUrl).
- Create Notification Webhook Channel Test: Tool to test webhook notification channel configuration by creating a test notification. Use when you need to validate webhook settings before creating a production notification channel.
- Create OCR Job Resource: Tool to create an OCR (Optical Character Recognition) job resource in DataRobot. Use when you need to extract text from images or scanned documents in a dataset. The OCR job processes the input dataset and creates an output dataset with extracted text.
- Create OpenTelemetry Metric Configuration: Tool to create an OpenTelemetry metric configuration for a DataRobot entity (deployment, use case, etc.). Use when you need to set up custom metric tracking for monitoring entity performance.
- Create Prediction Dataset Upload: Tool to create a prediction dataset upload for a DataRobot project. Use when you need to upload a dataset that will be used for making predictions on a project. Returns a new dataset ID for the prediction dataset. For time series projects, you can specify forecast points or bulk prediction date ranges.
- Create Prediction Dataset from Data Source: Upload a prediction dataset from a DataSource for making predictions on a DataRobot project. Returns immediately with a status URL - the upload happens asynchronously. Use when you need to make predictions using data from an external data source connector.
- Create Prediction Dataset from URL: Tool to upload a prediction dataset from a URL to a DataRobot project. Use when you need to add prediction data from a publicly accessible URL to an existing project for scoring. The upload happens asynchronously - use the returned statusId to monitor progress.
- Create Project Predictions: Tool to create new predictions for a dataset using a trained model within a DataRobot project. Returns immediately with a status URL - prediction computation happens asynchronously. Use the location URL to poll for completion and retrieve results.
- Create Project Rating Table: Tool to upload a modified rating table file to a DataRobot project. Use when you need to create a new rating table from a parent model. Returns the created rating table ID and name.
- Create Project Training Predictions: Tool to create training predictions for a DataRobot project. Use when you need to compute predictions on the training data using a trained model. Returns immediately with a status URL - computation happens asynchronously.
- Create Projects Autopilots: Tool to start Autopilot on a DataRobot project with a specific feature list. Use when you need to initiate automated model building with specified Autopilot settings. Prerequisites: The project must be in 'modeling' stage with a target already set.
- Create Projects Payoff Matrices: Tool to create a payoff matrix for a binary classification project in DataRobot. Use when you need to define cost-benefit values for model predictions to evaluate profit curves. Only works with binary classification projects.
- Create ROC Curve Insight: Request calculation of ROC curve insights for a DataRobot model, custom model, or vector database. The ROC curve is computed asynchronously and can optionally be filtered by a data slice. Use this to evaluate binary classification model performance across different data partitions.
- Create Recipe Preview: Tool to start the job that generates a preview of the data after applying a wrangling recipe. Returns immediately with a status URL - preview generation happens asynchronously.
- Create Recipe SQL Query: Tool to build SQL query for a DataRobot recipe. Use when you need to generate SQL from recipe operations or preview the SQL that would be executed. You can optionally override recipe operations or use input aliases instead of real table names.
- Create Recipe from Data Store: Create a recipe and data source from a DataRobot data store. Use when connecting to external databases like Snowflake, BigQuery, Databricks, or Postgres to create a wrangling or SQL recipe. Requires an existing data store ID (from DATAROBOT_LIST_DATA_SOURCES) and use case ID (from GET /api/v2/useCases/).
- Create Recipe from Dataset: Tool to create a DataRobot recipe from a dataset. Use when creating wrangling, SQL, or feature discovery recipes. Supports two modes: simple mode (requires dialect and status) or extended mode (requires recipeType with optional inputs and settings).
- Create Recipe from Recipe: Tool to clone an existing wrangling recipe in DataRobot. Use when you need to create a copy of an existing recipe. The cloned recipe will have the same operations and settings as the original recipe.
- Create Relationships Configuration: Tool to create a relationships configuration in DataRobot for connecting multiple datasets for feature engineering. Use when you need to define how datasets relate to each other for time-aware or multi-table machine learning projects. The relationships configuration enables DataRobot to automatically generate features from related datasets by defining join keys and temporal relationships.
- Create Remote Events: Tool to post a remote deployment event to DataRobot. Use when you need to record custom events related to deployments such as health changes, model replacements, or prediction failures.
- Create SHAP Impact Insight: Tool to request calculation of SHAP Impact insights in DataRobot. Use when you need to understand feature importance based on Shapley values with optional data slicing. SHAP (SHapley Additive exPlanations) Impact provides model-agnostic feature importance by quantifying how much each feature contributes to individual predictions. The calculation is asynchronous - poll the returned location URL to check status and retrieve results once computation completes.
- Create SHAP Impact for Model (Deprecated): Tool to create SHAP-based Feature Impact for a specific DataRobot model. DEPRECATED API - prefer CreateInsightsShapImpact for new implementations. This endpoint initiates an asynchronous calculation of SHAP values for feature importance. Poll the returned location URL to check status and retrieve results once the calculation completes.
- Create SHAP Preview Insights: Request calculation of SHAP Preview insights with an optional data slice. Returns immediately with a queue ID - the SHAP computation happens asynchronously. Use the queue ID to poll for job status and retrieve results when complete.
- Create Secure Configuration: Tool to create a secure configuration for storing credentials and sensitive data. Use when you need to securely store OAuth tokens, API keys, database credentials, or LLM provider credentials. The configuration can then be referenced in data sources, deployments, or other DataRobot resources.
- Create String Encryption: Tool to encrypt a string which DataRobot can decrypt when needed. Use when storing sensitive data like passwords or credentials that DataRobot needs to access data stores.
- Create Usage Data Exports: Tool to create a customer usage data artifact request in DataRobot. Use when you need to export usage tracking data for audit, billing, or compliance purposes. Requires "CAN_ACCESS_USER_ACTIVITY" permission. The artifact generation is asynchronous. Poll the returned location URL to check status and retrieve the artifact ID once generation completes. The artifact will be in .zip format.
- Create Use Case: Tool to create a new DataRobot use case. Use when you need to create a container for organizing related projects, deployments, models, and other resources around a business problem or initiative.
- Create User Blueprint From Blueprint: Clone a blueprint from a project to create a user blueprint. Use when you need to save a project blueprint to your catalog for reuse in other projects. The created user blueprint can be customized and applied to different datasets.
- Create User Group: Tool to create a new user group. Use when you need to add a group to an existing DataRobot organization after confirming orgId.
- Create Value Tracker: Tool to create a new DataRobot value tracker for tracking ML project value and lifecycle stages. Use when you need to register a new ML initiative and track its business impact, feasibility, and stage progression. Value trackers help measure ROI and manage the lifecycle from ideation through production to retirement.
- Create Value Tracker Attachments: Tool to attach resources to a DataRobot value tracker. Use when you need to link datasets, projects, deployments, or other objects to a value tracker for monitoring. Returns the list of successfully attached objects. Requires that the value tracker is writable and all specified objects are readable.
- Create and Start Notebook Codespace: Tool to create and start a new notebook codespace in DataRobot. Use when you need to set up an interactive Jupyter notebook environment within a use case. Note: DataRobot limits concurrent notebooks to 4 running in parallel. If the limit is reached, stop or delete an existing notebook before creating a new one.
- Delete Access Role: Tool to delete a custom Access Role. Use when you need to remove a custom role by its ID after verifying the ID.
- Delete Actuals Data Export: Tool to delete an actuals data export job from a deployment. Use when you need to remove an export by its unique ID.
- Delete All User Notifications: Tool to delete all user notifications in DataRobot. Use when you need to clear all notifications for the authenticated user.
- Delete Batch Job: Tool to cancel a DataRobot batch job. Use when you need to abort a queued or running batch prediction job.
- Delete Batch Monitoring Job Definition: Tool to delete a Batch Prediction job definition. Use when you need to permanently remove a batch monitoring job definition by its ID. Cannot delete if there are currently running jobs in the queue.
- Delete Batch Prediction: Tool to cancel a DataRobot Batch Prediction job. Use when you need to abort a running or queued batch prediction job.
- Delete Batch Prediction Job Definition: Tool to delete a Batch Prediction job definition. Use when you need to permanently remove a job definition by its ID.
- Delete Calendar: Tool to delete a DataRobot calendar. Use when you need to permanently remove a calendar by its unique ID.
- Delete Chunk Definition: Tool to soft delete a chunk definition by ID. Use when you need to remove a chunk definition from a dataset definition.
- Delete Comment: Tool to delete a DataRobot comment. Use when you need to permanently remove a comment by its unique ID.
- Delete Compliance Doc Template: Tool to delete a compliance documentation template. Use when you need to permanently remove a compliance doc template by its ID.
- Delete Credentials: Tool to delete a credentials set. Use when you need to permanently remove credentials by their unique ID.
- Delete Custom Application: Tool to delete a DataRobot custom application. Use when you need to permanently remove an application by its unique ID.
- Delete Custom Application Source: Tool to delete a custom application source with all its versions. Use when you need to permanently remove a custom application source by its ID.
- Delete Custom Application Source Version: Tool to delete a custom application source version if it is still mutable. Use when you need to remove a specific version of a custom application source by its ID.
- Delete Custom Job: Tool to delete a DataRobot custom job. Use when you need to permanently remove a custom job by its ID.
- Delete Custom Model: Tool to delete a custom model in DataRobot. Use when you need to permanently remove a custom model by its unique ID. Cannot delete models that are currently deployed.
- Delete Data Slice: Tool to delete a data slice. Use when you need to permanently remove a data slice by its unique ID.
- Delete Data Slices: Tool to delete multiple data slices in bulk. Use when you need to remove one or more data slices by their IDs. Supports deletion of up to 20 data slices in a single request.
- Delete Dataset: Tool to delete a dataset from DataRobot. Use when you need to permanently remove a dataset by its unique ID.
- Delete Dataset Definition: Tool to soft delete a dataset definition by ID. Use when you need to remove a dataset definition without permanently deleting the underlying data.
- Delete Dataset Featurelist: Tool to delete a dataset featurelist. Use when you need to permanently remove a featurelist from a dataset by its unique ID.
- Delete Dataset Refresh Job: Tool to delete a DataRobot dataset refresh job. Use when you need to remove a scheduled dataset refresh job.
- Delete Dataset Relationship: Tool to delete a dataset relationship. Use when you need to permanently remove a relationship between datasets by their unique IDs.
- Delete Dataset Version: Tool to delete a specific version of a dataset from DataRobot's catalog. Use when you need to permanently remove a dataset version that is no longer needed.
- Delete Deployment: Tool to delete a DataRobot deployment. Use when you need to permanently remove a deployment by its unique ID.
- Delete Deployment Custom Metric: Tool to delete a custom metric from a deployment. Use when you need to permanently remove a custom metric by its unique ID.
- Delete Deployment Monitoring Batch: Tool to delete a monitoring batch from a deployment. Use when you need to permanently remove a monitoring batch by its unique ID.
- Delete Deployment Monitoring Data: Tool to delete deployment monitoring data for a specific model within a time period. Use when you need to remove historical monitoring data for a model in a deployment. Specify time ranges using top-of-the-hour RFC3339 datetime strings.
- Delete Deployment Retraining Policy: Tool to delete a retraining policy from a deployment. Use when you need to permanently remove a retraining policy by its unique ID.
- Delete Entity Notification Channel: Tool to delete an entity notification channel. Use when you need to remove a notification channel from a deployment or custom job.
- Delete Entity Notification Policy: Tool to delete an entity notification policy. Use when you need to remove a notification policy for a deployment or custom job.
- Delete Entity Tag: Tool to delete an entity tag. Use when you need to remove an entity tag by its unique ID.
- Delete External Data Source: Tool to delete an external data source. Use when you need to permanently remove a data source by its unique ID. Note: deletion will fail if the data source is in use by one or more datasets.
- Delete External Data Store: Tool to delete an external data store. Use when you need to permanently remove a data store by its unique ID. Note: deletion will fail if the data store is in use by one or more data sources.
- Delete External OAuth Provider: Tool to delete an external OAuth provider from DataRobot. Use when removing OAuth integrations for external services. This is an asynchronous operation that returns a job location URL for tracking deletion progress.
- Delete Feature List: Tool to delete a specified featurelist from a DataRobot project. Use when you need to remove a featurelist by its ID. Supports dry-run mode to preview deletion impact and automatic deletion of dependencies.
- Delete Files: Tool to delete a file from DataRobot. Use when you need to permanently remove a file by its catalog ID.
- Delete Files from Catalog: Tool to delete files or folders from a DataRobot catalog item. Use when you need to remove specific files or folders by their paths. Folder paths should end with a slash '/'. Maximum 1000 paths can be deleted in a single request.
- Delete GenAI Cost Metric Configuration: Tool to delete a GenAI cost metric configuration. Use when you need to remove a cost metric configuration by its unique ID.
- Delete GenAI Custom Model LLM Validation: Tool to delete a custom model LLM validation from DataRobot. Use when you need to remove a specific LLM validation by its ID.
- Delete GenAI Custom Model Vector Database Validations: Tool to delete a custom model vector database validation in DataRobot. Use when you need to remove a validation test for a custom model's vector database compatibility.
- Delete GenAI LLM Blueprints: Tool to delete a GenAI LLM blueprint in DataRobot. Use when you need to remove an LLM blueprint configuration by its unique ID.
- Delete GenAI LLM Test Configurations: Tool to delete an LLM test configuration in DataRobot. Use when you need to remove a test configuration for LLM robustness testing.
- Delete GenAI OOTB Metric Configuration: Tool to delete a GenAI out-of-the-box (OOTB) metric configuration. Use when you need to remove an OOTB metric configuration by its unique ID.
- Delete GenAI Playground: Tool to delete a GenAI playground. Use when you need to permanently remove a playground by its unique ID.
- Delete Modeling Featurelist: Tool to delete a specified modeling featurelist from a DataRobot project. Use when you need to remove a modeling featurelist by its ID. Supports dry-run mode to preview deletion impact and automatic deletion of dependencies.
- Delete Multiple Groups: Tool to delete multiple user groups by their IDs in a single request. Use when you need to remove several groups at once (limit 100 per request).
- Delete Notebook: Tool to delete a notebook in DataRobot. Use when you need to permanently remove a notebook by its unique ID.
- Delete Notebook Cell: Tool to delete a specific cell from a DataRobot notebook. Use when you need to permanently remove a cell from a notebook by its unique ID. Use after confirming the cell is no longer needed.
- Delete Notebook Environment Variable: Tool to delete a notebook environment variable by ID. Use when you need to remove an environment variable from a specific notebook.
- Delete Notebook Environment Variable: Tool to delete a notebook environment variable. Use when you need to remove an environment variable from a specific notebook by its unique ID.
- Delete Notebook Execution Environment Port: Tool to delete an exposed port from a notebook execution environment in DataRobot. Use when you need to remove a specific port that was previously exposed for a notebook.
- Delete Notebook Job: Tool to delete a notebook job in DataRobot. Use when you need to permanently remove a scheduled or manual notebook job by its unique ID.
- Delete Notebook Revision: Tool to delete a specific notebook revision by its ID. Use when you need to permanently remove a notebook revision.
- Delete Notification Channel Template: Tool to delete a notification channel template. Use when you need to permanently remove a notification channel template by its ID.
- Delete OpenTelemetry Metric Configuration: Tool to delete an OpenTelemetry metric configuration for a specified entity. Use when you need to remove a metric configuration by its ID.
- Delete Payoff Matrix: Tool to delete a payoff matrix from a DataRobot project. Use when you need to permanently remove a payoff matrix by its unique ID.
- Delete Prediction Explanations Initialization: Tool to delete an existing prediction explanations initialization for a model. Use when you need to remove prediction explanation configuration from a specific model in a project.
- Delete Project: Tool to delete a DataRobot project. Use when you need to permanently remove a project by its unique ID. Use after confirming the project is no longer needed.
- Delete Project Model: Tool to delete a model from a DataRobot project's leaderboard. Use when you need to permanently remove a model by its ID.
- Delete Project Model Job: Tool to cancel a modeling job for a DataRobot project. Use when you need to stop a queued or running model job by its ID. The job must not have already completed.
- Delete Projects Prediction Datasets: Tool to delete a prediction dataset that was uploaded for a DataRobot project. Use when you need to permanently remove a prediction dataset by its unique ID.
- Delete Quota: Tool to delete a quota by its ID. Use when you need to permanently remove a quota from the system.
- Delete Recipe: Tool to delete a wrangling recipe. Use when you need to permanently remove a recipe by its unique ID.
- Delete Registered Model: Tool to archive a registered model in DataRobot. Use when you need to remove a registered model by its unique ID.
- Delete Secure Configuration: Tool to delete a secure configuration and its values. Use when you need to permanently remove a secure configuration by its unique ID.
- Delete Spark Sessions: Tool to stop a DataRobot Spark wrangling session by size. Use when you need to terminate an active Spark session to free up resources.
- Delete Status: Tool to delete a task status object. Use when you need to remove a status entry by its unique ID.
- Delete Use Case: Tool to delete a DataRobot use case. Use when you need to permanently remove a use case by its unique ID.
- Delete Use Case Reference: Tool to remove a related entity from a DataRobot use case. Use when you need to unlink a resource (dataset, project, deployment, etc.) from a use case.
- Delete User Blueprint: Tool to delete a user-owned blueprint in DataRobot. Use when you need to permanently remove a user blueprint by its unique ID.
- Delete User Blueprints: Tool to delete one or more user blueprints by their IDs. Use when you need to remove custom blueprints from DataRobot. Returns lists of successfully and unsuccessfully deleted blueprint IDs.
- Delete User Group: Tool to delete a user group by its ID. Use after confirming the group ID to remove that group.
- Delete User Notification: Tool to delete a user notification by ID. Use when you need to permanently remove a specific notification from the user's notification list.
- Delete Value Tracker: Tool to delete a DataRobot value tracker. Use when you need to permanently remove a value tracker by its unique ID.
- Detect External Data Store UDFs: Tool to start the job that detects standard user-defined functions for an external data store. Use when you need to detect rolling_median or rolling_most_frequent functions in a database schema.
- Download Code Snippet: Tool to download code snippets for DataRobot deployments, models, or workloads. Use when you need sample code to make predictions, interact with models, or work with workloads. Generates code in Python, cURL, PowerShell, or Qlik based on your deployment/model configuration.
- Download Custom Model: Tool to download the latest custom model version content from DataRobot. Use when you need to retrieve a custom model archive.
- Download Custom Model Version: Tool to download custom model version content from DataRobot as a file archive. Use when you need to retrieve the full model version package including code and dependencies.
- Download Dataset Version File: Tool to download original dataset data from a specific dataset version. Use when you need to retrieve the raw file for a dataset version.
- Download Execution Environment Version: Tool to download execution environment version files from DataRobot. Downloads either a Docker image tarball or Docker context depending on the imageFile parameter. Use when you need to retrieve the built environment for deployment or inspection.
- Download File: Tool to download file data from a DataRobot catalog item by streaming it. Use when you need to retrieve the actual file content from the catalog.
- Download Scoring Code: Tool to download scoring code for a DataRobot deployment. Use after deployment is active.
- Evaluate Entitlements: Tool to evaluate which entitlements are enabled for the authenticated user's DataRobot account. Use when checking feature availability or permissions before attempting operations that require specific entitlements.
- Export Tenant Usage: Export tenant resource usage data for billing and cost analysis. Retrieves detailed usage records including CPU, GPU, and LLM workloads for a specified tenant and date range. Use the Get Account Info action first to obtain the required tenantId. Note: Start date cannot be before 2025-07-01.
- Expose Notebook Port: Tool to expose a port on a DataRobot notebook execution environment. Use when you need to access a web service or application running inside a notebook (e.g., Flask/FastAPI apps, Jupyter extensions, or custom web servers). The notebook must be running to expose ports. Maximum 5 ports can be exposed per notebook.
- Finalize Batch Predictions CSV Upload: Tool to finalize a multipart CSV upload for batch predictions. Use after uploading all CSV parts via PUT requests to submit the job to the scoring queue. Only works for jobs created with multipart=true.
- Get Access Role: Tool to retrieve details for a specific Access Role by ID. Use when you need confirmation of role permissions.
- Get Account Info: Retrieves account information for the currently authenticated user, including user ID (uid), email, name, tenant ID, and organization ID (orgId). No parameters required. Use this action to get the current user's orgId for listing organization users or tenantId for tenant-level operations.
- Get Accuracy Metrics Config: Tool to retrieve which accuracy metrics are displayed and their order for a deployment. Use when you need the configured metrics order for a deployment.
- Get Accuracy Over Time: Tool to retrieve baseline and accuracy metric values over time buckets for a deployment. Use when analyzing model performance trends; call after confirming the deployment is live.
- Get Batch Job: Tool to retrieve a DataRobot batch job by ID. Use when you need details about a specific batch prediction or monitoring job.
- Get Batch Prediction Job Definition: Tool to retrieve a Batch Prediction job definition by ID. Use when you need to inspect configuration or check scheduling status.
- Get Batch Predictions: Tool to retrieve a Batch Prediction job by ID. Use when you need to check the status or details of a batch prediction job.
- Get Batch Type Transform Features Result: Tool to retrieve the result of a batch variable type transformation. Use when you need to check the status and outcome of a feature type transformation job.
- Get Blueprint Chart: Tool to retrieve a blueprint chart by blueprint ID. Use when you need to visualize the structure and flow of a DataRobot blueprint.
- Get Calendar: Tool to retrieve information about a calendar by ID. Use when you need calendar details including events and format.
- Get Catalog Item: Tool to retrieve catalog item details by ID. Use when you need information about a specific catalog item including its status, type, and metadata.
- Get Change Request: Tool to retrieve a DataRobot change request by ID. Use when you need details about a pending or completed change request for a deployment.
- Get Compliance Doc Template: Tool to retrieve a compliance documentation template by ID. Use when you need to view template details, structure, or sections before generating compliance documents.
- Get Credentials: Tool to retrieve the credentials set by ID. Use when you need to fetch details of a specific credential.
- Get Credentials Associations: Tool to list credentials associated with a specific object. Use when you need to retrieve credentials linked to a data connection or batch prediction job definition.
- Get Custom Application Source: Tool to retrieve a custom application source by ID. Use when you need to get details about a specific custom application source.
- Get Custom Job: Tool to retrieve a custom job by ID. Use when you need details about a specific DataRobot custom job.
- Get Custom Job Item: Tool to retrieve custom job file content by custom job ID and item ID. Use when you need to access the contents of a specific file associated with a DataRobot custom job.
- Get Custom Model: Tool to retrieve a DataRobot custom model by ID. Use when you need custom model metadata and version details before deployment or testing.
- Get Custom Model Deployment Logs: Tool to request logs from a deployed custom model. Use when troubleshooting failed prediction requests or debugging custom model behavior. Returns a status ID for polling - logs are generated asynchronously.
- Get Custom Model Version: Tool to retrieve a specific custom model version in DataRobot. Use when you need details about a particular version of a custom model.
- Get Custom Template: Tool to retrieve a single custom template by ID from DataRobot. Use when you need to get detailed information about a specific custom template.
- Get Custom Templates Files: Tool to retrieve a single custom template file by its ID. Use when you need to access the content and metadata of a specific file within a custom template.
- Get Data Engine Workspace State: Tool to retrieve a data engine workspace state by ID. Use when you need details about a specific data engine query execution.
- Get Data Quality Report for Dataset Version Feature: Tool to retrieve data quality report for a feature of a dataset version. Use when you need to assess data quality issues for a specific feature.
- Get Data Quality Summary for Dataset: Tool to retrieve data quality summary for a dataset. Use when you need to assess data quality issues, check for anomalies, or review data quality check results before modeling.
- Get Data Quality Summary for Dataset Version: Tool to retrieve data quality summary for a dataset version. Use when you need to check data quality issues, warnings, or recommendations for a specific dataset version.
- Get Data Slice: Tool to retrieve a Data Slice by ID. Use when you need to inspect a data slice configuration or filters for a project.
- Get Data Store Columns Info: Tool to retrieve column metadata for a table in an external data store. Use when you need to inspect the schema and structure of a database table. This operation is only supported for JDBC data stores.
- Get Dataset: Tool to retrieve a dataset by ID from DataRobot's catalog. Use when you need detailed metadata about a specific dataset.
- Get Dataset Definition: Tool to retrieve a dataset definition by ID. Use when you need to inspect dataset schema, size, or metadata before using it in modeling or predictions.
- Get Dataset Feature Histogram: Tool to retrieve dataset feature histogram from DataRobot. Use when you need to visualize feature value distributions or understand feature characteristics.
- Get Dataset Feature Histogram: Tool to retrieve histogram data for a specific feature in a dataset. Use when you need to analyze the distribution of values for a feature in the DataRobot dataset catalog.
- Get Dataset Feature Transform: Tool to retrieve a feature transform for a specific dataset feature. Use when you need details about how a feature was transformed in DataRobot.
- Get Dataset Featurelist: Tool to retrieve a specific featurelist from a dataset. Use when you need to get details of a dataset featurelist including its features and metadata.
- Get Dataset File: Tool to download the original dataset file from DataRobot. Use when you need to retrieve the raw data for a dataset. Note: dataset must have dataPersisted=true and be a snapshot to be downloadable.
- Get Dataset Refresh Job: Tool to retrieve a scheduled dataset refresh job by ID. Use when you need details about a specific dataset refresh schedule configuration.
- Get Dataset Version: Tool to retrieve detailed information about a specific dataset version. Use when you need to inspect dataset metadata, schema, and processing state for a particular version.
- Get Dataset Version Featurelist: Tool to retrieve a specific featurelist from a dataset version. Use when you need to get details of a featurelist associated with a specific version of a dataset.
- Get Datetime Partitioning: Tool to retrieve datetime partitioning configuration for a project. Use when you need to inspect a project's time-series settings before modeling.
- Get Deployment: Tool to retrieve a deployment by ID. Use after creating or updating a deployment to fetch its full metadata and status.
- Get Deployment Accuracy: Tool to retrieve accuracy metrics for a deployment over a time period. Use when you need to analyze model performance trends or drift for a specific deployment.
- Get Deployment Actuals Data Export: Tool to retrieve a single actuals data export for a deployment. Use when you need to check the status or results of an actuals data export job.
- Get Deployment Capabilities: Tool to retrieve the capabilities for a deployment. Use after creating or loading a deployment to check supported features.
- Get Deployment Champion Model Package: Tool to retrieve the champion model package for a deployment. Use when you need detailed information about the model package currently deployed as champion.
- Get Deployment Custom Metric: Tool to retrieve a single custom metric metadata for a deployment. Use when you need detailed information about a specific custom metric configured for a deployment.
- Get Deployment Features: Tool to retrieve features in the universe dataset associated with a deployment. Use after deployment creation to explore its feature set.
- Get Deployment Monitoring Batch: Tool to retrieve a monitoring batch in a deployment. Use when you need to check the status or details of a specific monitoring batch.
- Get Deployment Monitoring Batch Limits: Tool to retrieve the limits related to monitoring batches for a deployment. Use when you need to check constraints on batch size and prediction counts for monitoring operations.
- Get Deployment Prediction Data Export: Tool to retrieve a single prediction data export for a deployment. Use when you need to check the status or results of a prediction data export job.
- Get Deployment Settings Checklist: Tool to return a checklist of deployment settings and their configuration state. Use when you need to verify which settings are set, partial, or not set for a given deployment.
- Get Deployment Training Data Export: Tool to retrieve a single training data export for a deployment. Use when you need to get details of a training data export by ID.
- Get Entity Notification Channel By ID: Tool to retrieve an entity notification channel by ID for a specific deployment or custom job. Use when you need to get details about a notification channel configuration.
- Get Entity Notification Channels: Tool to list notification channels related to a specific entity. Use when retrieving notification channels for a deployment or custom job.
- Get Entity Notification Policies: Tool to list entity notification policies for deployments or custom jobs. Use when retrieving notification configurations for a specific entity.
- Get Entity Notification Policy Template by ID: Tool to retrieve a specific entity notification policy template by ID. Use when you need to fetch details about a specific notification policy template for a deployment or custom job.
- Get Entity Notification Policy Templates: Tool to list entity notification policy templates for a specific entity type. Use when retrieving notification policy templates for deployments or custom jobs.
- Get Entity Notification Policy by ID: Tool to retrieve an entity notification policy by ID. Use when you need to fetch details about a specific notification policy for a deployment or custom job.
- Get Execution Environment: Tool to retrieve details about a specific execution environment by its ID. Use when you need to check environment configuration, versions, and deployment status.
- Get Execution Environment Version: Tool to retrieve a specific execution environment version by ID. Use when you need details about a particular environment version's build status, Docker context, and configuration.
- Get External Data Driver: Tool to retrieve external data driver details by driver ID. Use when you need driver metadata, configuration, or authentication types.
- Get External Data Source: Tool to retrieve external data source details by ID. Use when you need to inspect data source configuration or metadata.
- Get External Data Store: Tool to retrieve external data store details by ID. Use when you need information about a specific data store configuration.
- Get External Data Store Columns: Tool to retrieve column metadata from an external data store. Use when you need to discover the schema and data types of tables in an external database connection. Requires a valid dataStoreId and authentication credentials.
- Get External Driver Configurations: Tool to retrieve external driver configuration details by ID. Use when you need driver configuration metadata including JDBC settings, field schemas, and authentication types.
- Get External OAuth Provider: Tool to retrieve an external OAuth provider by ID. Use when you need the provider's configuration and connection details.
- Get Feature Impact Insights: Tool to retrieve feature impact insights for a DataRobot model. Use when you need to understand which features are most important in model predictions. Supports filtering by data slice, source partition, and pagination for large result sets.
- Get Feature List: Tool to retrieve a specific feature list by ID. Use when you need detailed information about a particular feature list in a DataRobot project.
- Get Frozen Model: Tool to retrieve a frozen model from a DataRobot project. Use when you need details about a specific frozen model's configuration and performance metrics.
- Get GenAI Chat: Tool to retrieve a GenAI chat by ID. Use when you need to fetch chat details including status, associated LLM blueprint, and prompt count.
- Get GenAI Chat Prompt: Tool to retrieve a GenAI chat prompt by ID. Use when you need to fetch details about a specific chat prompt interaction.
- Get GenAI Comparison Chat: Tool to retrieve a GenAI comparison chat by ID. Use when you need to fetch details about a specific comparison chat in DataRobot's GenAI playground.
- Get GenAI Custom Model LLM Validations: Tool to retrieve a GenAI custom model LLM validation by ID. Use when you need validation details, status, or configuration for a custom model deployment.
- Get GenAI LLM: Tool to retrieve details for a specific GenAI LLM by its ID. Use when you need to get configuration, settings, or metadata for a particular language model.
- Get GenAI LLM Test Suite: Tool to retrieve a GenAI LLM test suite by ID. Use when you need details about a specific LLM test suite configuration.
- Get GenAI OOTB Metric Configuration: Tool to retrieve a GenAI OOTB metric configuration by ID. Use when you need details about a specific out-of-the-box metric configuration for GenAI playgrounds.
- Get GenAI Playground: Tool to retrieve a DataRobot GenAI playground by ID. Use when you need playground details for GenAI operations.
- Get Guard Configuration: Tool to retrieve a DataRobot guard configuration by ID. Use when you need to inspect or verify guard settings for custom models, playgrounds, or other entities.
- Get Guard Template: Tool to retrieve information about a guard template by ID. Use when you need details about a specific guardrail template.
- Get Lift Chart: Tool to retrieve lift chart data from a single source for a project model. Use when you need to analyze lift chart performance metrics for a specific data source like validation, crossValidation, holdout, or backtests.
- Get Lift Chart Insights: Tool to retrieve Lift chart insights for a DataRobot model. Use when you need to analyze model performance across different population segments, comparing predicted vs actual outcomes. Supports filtering by data slice, source partition, and pagination for large result sets.
- Get MLOps Compute Bundle: Tool to retrieve a specific MLOps compute bundle by ID. Use when you need to check resource specifications (CPU, memory, GPU) for deployments or custom models.
- Get Model Blueprint Chart: Tool to retrieve a reduced model blueprint chart by model ID. Use when you need to visualize the structure of a trained model's blueprint.
- Get Model Feature Effects Insights: Tool to retrieve feature effects insights for a DataRobot model. Use when analyzing feature importance and impact on model predictions for a specific data source (validation, training, or backtest).
- Get Model Missing Values Report: Tool to retrieve a summary of how a model's subtasks handle missing values. Use when analyzing model preprocessing behavior for features with missing data.
- Get Model Number of Iterations Trained: Tool to retrieve the number of iterations trained for a DataRobot model. Use when you need early stopping information for a specific model.
- Get Model Package: Tool to retrieve a model package by ID. Use when you need detailed information about a specific model package including capabilities, datasets, target info, and deployment status.
- Get Model ROC Curve: Tool to retrieve ROC curve data for a specific model from a single data source. Use when analyzing binary classification model performance across different thresholds.
- Get Model Word Cloud: Tool to retrieve word cloud data for a DataRobot text-based model. Returns the most important ngrams (words/phrases) with their coefficients, frequencies, and counts. Use when analyzing feature importance for NLP models or understanding which text features drive predictions.
- Get Modeling Featurelist: Tool to retrieve a single modeling featurelist by ID. Use when you need details about a specific featurelist within a DataRobot project.
- Get Notebook: Tool to retrieve a specific DataRobot notebook by ID. Use when you need detailed information about a specific notebook.
- Get Notebook Code Snippet: Tool to retrieve a notebook code snippet by ID. Use when you need to fetch details of a specific code snippet from DataRobot notebooks.
- Get Notebook Environment Variables: Tool to retrieve notebook environment variables by ID. Use when you need to view configured environment variables for a specific notebook.
- Get Notebook Execution Environment: Tool to retrieve a notebook execution environment by ID. Use when you need details about a specific execution environment configuration.
- Get Notebook Execution Status: Tool to retrieve the execution status of a DataRobot notebook. Use when you need to check the current execution state of a notebook, including running status and queued cells.
- Get Notebook Job: Tool to retrieve a DataRobot notebook job by ID. Use when you need to inspect the configuration, schedule, or status of a specific notebook job.
- Get Notebook Revision by ID: Tool to retrieve a specific notebook revision by notebook ID and revision ID. Use when you need details about a particular saved version of a notebook.
- Get Notification Channel Template: Tool to retrieve a specific notification channel template by ID. Use when you need to fetch details about a notification channel template configuration.
- Get Notification Webhook Channel Tests: Tool to retrieve the status of a notification webhook channel test. Use when checking test results after creating a webhook channel test.
- Get OTEL Metrics Values Over Time Segments: Tool to get OpenTelemetry metric values for a specified entity, grouped by multiple attributes. Use when analyzing metrics segmented by attributes like HTTP method, status code, or other OpenTelemetry dimensions.
- Get OTel Metrics Values Over Time Segments: Tool to get OpenTelemetry metric values grouped by segments attribute. Use when analyzing metrics across different segment values.
- Get OTel Metrics Values by Segments: Tool to retrieve OpenTelemetry metric values grouped by a segment attribute over a time period. Use when analyzing metrics segmented by attributes like model version or deployment ID.
- Get OpenTelemetry Metric Configuration: Tool to retrieve an OpenTelemetry metric configuration for a specific entity. Use when you need details about OTel metrics for deployments, use cases, or other DataRobot entities.
- Get OpenTelemetry Traces: Tool to retrieve OpenTelemetry traces for monitoring and debugging. Use when you need to inspect trace details for deployments, use cases, or other entities.
- Get Portable Batch Prediction Job Definition: Tool to retrieve a portable batch prediction job definition snippet. Use when you need the configuration to run portable batch predictions outside DataRobot.
- Get Project: Tool to retrieve a DataRobot project by ID. Use when you need project metadata before further operations.
- Get Project Access Control: Tool to list users with their roles on a project. Use after assigning permissions or when auditing project access. Example prompt: "List access control entries for project 5f6a7b8c9d0e1f2a3b4c5d6e, first page of 20."
- Get Project Blueprint: Tool to retrieve a blueprint by its ID. Use when you need blueprint metadata and model details for a specific project.
- Get Project Blueprint JSON: Tool to retrieve the JSON representation of a DataRobot blueprint. Use when you need the detailed blueprint structure with task configurations.
- Get Project Feature: Tool to retrieve detailed information about a specific feature in a DataRobot project. Use when you need to inspect feature properties, statistics, or metadata for a given feature name.
- Get Project Feature Histograms: Tool to retrieve feature histogram data for a specific feature in a DataRobot project. Use when you need to visualize feature distributions or analyze feature value patterns.
- Get Project Job: Tool to retrieve details for an in-progress project job. Use after starting a project job to monitor its status before completion.
- Get Project Model: Tool to retrieve a model from a DataRobot project. Use when you need details about a specific model's configuration, performance metrics, and training settings.
- Get Project Modeling Feature: Tool to retrieve detailed information about a specific modeling feature in a DataRobot project. Use when you need to inspect modeling feature properties, statistics, importance, or metadata for a given feature name.
- Get Project Multicategorical Invalid Format File: Tool to retrieve a file with format errors of potential multicategorical features for a DataRobot project. Use when you need to inspect formatting issues in multicategorical features.
- Get Project Rating Table: Tool to retrieve rating table information from a DataRobot project. Use when you need details about a specific rating table including validation status and associated models.
- Get Project Rating Table Model: Tool to retrieve a rating table model from a DataRobot project. Use when you need details about a specific rating table model's configuration, performance metrics, and training settings.
- Get Project Training Predictions: Tool to retrieve training predictions for a project. Use when you need to access prediction results from model training for analysis or validation purposes.
- Get Projects Duplicate Images: Tool to get a list of duplicate images containing the number of occurrences of each image. Use when analyzing Visual AI projects for duplicate images.
- Get Projects Model Jobs: Tool to look up a specific modeling job. Use when you need details about a particular model training job within a project.
- Get Projects Prediction Datasets: Tool to get metadata of a specific prediction dataset in a DataRobot project. Use when you need to retrieve details about a dataset uploaded for prediction.
- Get Quota Template: Tool to retrieve a specific quota template by ID. Use when you need details of a particular quota template.
- Get Quotas: Tool to retrieve a specific quota by ID. Use when you need details about resource quotas and policies.
- Get ROC Curve Insights for Model: Tool to retrieve paginated ROC curve insights for a specific model. Use when you need to analyze model performance using ROC curves for different data sources or slices.
- Get Recipe: Tool to retrieve a DataRobot wrangling recipe by ID. Use when you need details about a specific recipe.
- Get Recipe Operation: Tool to retrieve details of a specific operation from a wrangling recipe. Use when inspecting individual data transformation steps.
- Get Recommended Settings: Tool to retrieve configured recommended settings for an entity type. Use when you need to get recommended configuration settings for deployments or other entities.
- Get Registered Model: Tool to retrieve a registered model by ID. Use when you need to fetch metadata about a specific registered model.
- Get Registered Model Version: Tool to retrieve a specific version of a registered model. Use when you need detailed information about a registered model version including its capabilities, datasets, target info, and deployment status.
- Get SHAP Distributions Insights: Tool to retrieve SHAP (SHapley Additive exPlanations) distribution insights for a DataRobot model. Use when you need to understand how feature values contribute to model predictions across the dataset. SHAP distributions show how features impact predictions for different data subsets, helping explain model behavior. Supports filtering by data slice, source partition, external datasets, and pagination for large result sets.
- Get SHAP Impact Insights for Model: Tool to retrieve paginated SHAP Impact insights for a specific model. Use when analyzing feature importance and impact on model predictions for a given model ID.
- Get SHAP Preview Insights for Model: Tool to retrieve SHAP Preview insights for a DataRobot model. Use when analyzing feature importance and SHAP values for model predictions.
- Get Secure Config: Tool to retrieve a secure configuration by ID. Use when you need to inspect secure configuration metadata before performing operations.
- Get Secure Config Schema: Tool to retrieve a secure configuration schema by ID. Use when you need the schema definition for a secure config.
- Get Tenant Active Users: Retrieve active users in a tenant over a date range. Returns a list of users who were active during the specified period. Use when an admin needs to audit user activity or generate usage reports. Note: The start date must be on or after 2025-07-01.
- Get Tracing (Deprecated): Tool to list OpenTelemetry traces using the deprecated tracing endpoint. Use when retrieving observability data for deployments, use cases, or other entities.
- Get Tracing By ID: Tool to retrieve an OpenTelemetry trace by ID from DataRobot. Use when you need to fetch detailed tracing information for debugging or monitoring purposes. Note: This is a deprecated endpoint but still functional for retrieving trace data.
- Get Use Case: Tool to retrieve a DataRobot use case by ID. Use when you need to get details about a specific use case including its metadata, associated resources, and member information.
- Get Use Case Filter Metadata: Tool to retrieve filtering metadata for a DataRobot Use Case. Use when you need to understand available metrics, model families, and sample sizes for filtering models within a Use Case.
- Get Use Cases Datasets: Tool to get dataset details in the scope of a use case. Use when you need detailed information about a specific dataset within a use case context.
- Get User Group: Tool to retrieve a user group by its ID. Use when you need the group's properties and permissions.
- Get Value Tracker: Tool to retrieve a value tracker by ID. Use when you need to get details about a specific value tracker.
- Get Value Tracker Value Templates: Tool to retrieve a value tracker value template by its type. Use when you need to understand the schema and parameters for classification or regression value tracking.
- Initialize Model Compliance Documentation: Tool to initialize compliance documentation pre-processing for a model or model package. Use when you need to prepare a model for compliance document generation. The initialization is asynchronous. Poll the returned location URL to check status and wait for completion before generating compliance documents.
- Initialize Prediction Explanations: Tool to initialize prediction explanations for a DataRobot model. Prediction explanations help understand which features most influenced individual predictions. Use after a model is trained to enable prediction explanation insights for that model.
- Invite Users: Tool to invite multiple users by email to join the DataRobot platform. Use when you need to send invitation emails to new users. The API returns a 202 status with a Location header to poll for job status.
- Link Entity to Use Case: Tool to link a single entity to a DataRobot use case. Use when you need to associate a project, dataset, notebook, deployment, or other resource with a use case for organizational purposes.
- Link Multiple Entities to Use Case: Tool to link multiple entities to a DataRobot use case in bulk. Use when you need to associate projects, notebooks, deployments, datasets, or other resources with a use case for organizational purposes.
- Link Notebooks to Use Case (Bulk): Tool to bulk link multiple DataRobot notebooks to a use case. Use when you need to associate multiple notebooks with a specific use case in DataRobot Workbench. All notebook IDs and the use case ID must be valid 24-character hexadecimal ObjectIds.
- List Access Role Users: Tool to list users assigned to an Access Role. Use when you need to fetch all users directly, via groups, or via organization by role ID.
- List Access Roles: Tool to list access roles. Use when you need to retrieve available access roles, with optional global filtering.
- List All Files for Catalog Item: Tool to list all files associated with a catalog item in DataRobot. Use when you need to browse or retrieve files from a specific catalog entry, with support for pagination and filtering by file type or path prefix.
- List Application Templates: Tool to list application templates the user has access to. Use when browsing available application templates in DataRobot.
- List Application Templates Media: Tool to retrieve an application template image from DataRobot. Use when you need to download the media/image associated with a specific application template.
- List Applications: Tool to list DataRobot applications created by the authenticated user. Use when retrieving a paginated list of applications.
- List Approval Policy Match: Tool to find approval policy ID matching the query. Use when determining which approval policy applies to a specific entity type and action.
- List Approval Policy Triggers: Tool to get a list of available approval policy triggers. Use when you need to view all possible triggers that can be configured for approval policies.
- List Automated Document Options: Tool to list all available automated document types and locales. Use when determining which document types can be generated for compliance documentation.
- List Automated Documents: Tool to list all automated documents in DataRobot. Use when retrieving compliance documents, model reports, or other generated documentation.
- List Batch Jobs: Tool to list DataRobot batch jobs. Use when you need to retrieve batch job records filtered by status or source.
- List Batch Monitoring Job Definitions: Tool to list DataRobot batch monitoring job definitions. Use when you need to retrieve scheduled batch monitoring job configurations with optional filtering by name or deployment ID.
- List Batch Prediction Job Definitions: Tool to list batch prediction job definitions. Use when retrieving scheduled or manual batch prediction configurations.
- List Batch Predictions: Tool to list DataRobot batch prediction jobs. Use when you need to retrieve batch prediction job records filtered by status, source, deployment, or other criteria.
- List Bias Mitigated Models for Project: Tool to list bias-mitigated models for a DataRobot project. Use when retrieving models that have been created with bias mitigation techniques applied.
- List Calendar Country Codes: Tool to retrieve the list of allowed country codes for preloaded calendar generation. Use when you need to find which country codes are supported for calendar features in DataRobot.
- List Calendars: Tool to list all available calendars for a user in DataRobot. Use when you need to browse or filter calendars for time-series modeling.
- List Calendars Access Control: Tool to list users with their roles on a calendar. Use when you need to retrieve access control information for a specific calendar.
- List Catalog Items: Tool to list all catalog items accessible by the user. Use when you need to browse or search available datasets, user blueprints, and files in the DataRobot catalog.
- List Change Requests: Tool to list change requests in DataRobot. Use when you need to retrieve change requests for deployments or other entities, optionally filtering by status, owner, or entity.
- List Code Snippets: Tool to retrieve available code snippets from DataRobot. Use when you need to get code examples for models, predictions, or workloads in various languages.
- List Compliance Doc Templates: Tool to list compliance documentation templates in DataRobot. Use when you need to browse or filter available templates for compliance documentation.
- List Compliance Doc Templates Default: Tool to retrieve the default compliance documentation template from DataRobot. Use when you need to get the template structure for creating compliance documentation for AutoML projects, time series projects, or text generation models.
- List Credentials: Tool to list all available credentials. Use when you need to retrieve credentials accessible to the authenticated user.
- List Credentials Associations: Tool to list all objects associated with specific credentials. Use when you need to find which deployments, data sources, or other objects are using a particular credential.
- List Custom Application Sources: Tool to list custom application sources created by the authenticated user. Use when retrieving a paginated list of custom application sources for managing application deployments.
- List Custom Application Sources Versions: Tool to list custom application source versions of a specified application source. Use when you need to retrieve paginated versions of a custom application source.
- List Custom Applications: Tool to list custom applications created by the authenticated user. Use when retrieving a paginated list of custom applications from DataRobot.
- List Custom Job Limits: Tool to retrieve custom job limits from DataRobot. Use when you need to check parallel job run limits or timeout settings.
- List Custom Job Runs: Tool to list custom job runs for a specific custom job in DataRobot. Use when you need to browse execution history of a custom job, optionally filtering by scheduled job ID.
- List Custom Jobs: Tool to list custom jobs in DataRobot. Use when you need to browse or filter available custom jobs, optionally filtering by running status, search term, or job type.
- List Custom Jobs Custom Metrics: Tool to list all custom metrics associated with a custom job in DataRobot. Use when you need to browse or retrieve custom metrics linked to a specific custom job.
- List Custom Jobs Shared Roles: Tool to get the access control list for a custom job. Use when you need to view who has access to a specific custom job and their roles.
- List Custom Model Deployments: Tool to list custom model deployments in DataRobot. Use when retrieving custom model deployments sorted by creation time.
- List Custom Model Deployments Logs: Tool to retrieve custom model deployment logs. Use when debugging or monitoring custom model deployments.
- List Custom Model Limits: Tool to get custom model resource limits in DataRobot. Use when you need to check memory, replica, and testing constraints for custom models.
- List Custom Model Tests: Tool to list custom model tests for a specific custom model in DataRobot. Use when you need to retrieve testing history and results for a custom model.
- List Custom Models: Tool to list custom models in DataRobot. Use when retrieving paginated custom models from DataRobot.
- List Custom Models Access Control: Tool to list users with their roles on a custom model. Use when you need to retrieve access control information for a specific custom model.
- List Custom Models Versions: Tool to list custom model versions in DataRobot. Use when retrieving all versions of a specific custom model.
- List Custom Templates: Tool to retrieve a list of custom templates from DataRobot. Use when you need to browse, filter, or search available custom templates for applications.
- List Custom Training Blueprints: Tool to list custom training blueprints in DataRobot. Use when you need to retrieve blueprints for custom model training, optionally filtered by model ID or target types.
- List Data Slices Slice Sizes: Tool to retrieve the number of rows available after applying a data slice to a specified dataset subset. Use when you need to check the size of a data slice for a specific source (e.g., crossValidation, training, holdout).
- List Data Sources: Tool to list all available data sources. Use when retrieving the catalog of data connections.
- List Dataset All Features Details: Tool to retrieve detailed information about all features in a DataRobot dataset. Use when you need feature statistics, types, and metadata for analysis or model preparation.
- List Dataset Definition Versions: Tool to list all dataset definition versions for a given dataset definition. Use when you need to view version history or select a specific version of a dataset definition.
- List Dataset Definitions: Tool to list all dataset definitions for the user. Use when you need to browse or retrieve available dataset definitions.
- List Dataset Feature Transforms: Tool to list all feature transforms applied to a dataset. Use when you need to understand the transformations applied to dataset features before modeling.
- List Dataset Featurelists: Tool to retrieve featurelists associated with a specific dataset in DataRobot. Use when you need to browse or filter featurelists for a dataset.
- List Dataset Permissions: Tool to retrieve permissions for a specific dataset in DataRobot. Use when you need to check what operations the current user can perform on a dataset.
- List Dataset Projects: Tool to list all projects associated with a specific dataset. Use when you need to find which projects are using a particular dataset.
- List Dataset Refresh Job Execution Results: Tool to list execution results of a dataset refresh job. Use when you need to view the history and status of refresh job executions.
- List Dataset Refresh Jobs: Tool to list scheduled refresh jobs for a specific dataset. Use when you need to view or manage dataset refresh schedules.
- List Dataset Relationships: Tool to list related datasets for a specific dataset. Use when you need to discover relationships between datasets in DataRobot's catalog.
- List Dataset Version All Features Details: Tool to retrieve detailed information about all features in a specific DataRobot dataset version. Use when you need feature statistics, types, and metadata for a particular version of a dataset.
- List Dataset Version Feature Lists: Tool to retrieve feature lists for a specific dataset version in DataRobot. Use when you need to list, search, or filter feature lists associated with a particular version of a dataset.
- List Dataset Version Projects: Tool to list all projects that use a specific dataset version. Use when you need to find which projects are using a particular version of a dataset.
- List Dataset Versions: Tool to list all versions of a specific dataset in DataRobot. Use when you need to browse or filter different versions of a dataset before selecting one for modeling or prediction.
- List Datasets: Tool to list all datasets in the DataRobot global catalog. Use when you need to browse or filter available datasets before modeling or prediction.
- List Datasets Access Control: Tool to list users with their roles on a dataset. Use when you need to retrieve access control information for a specific dataset.
- List Datasets Shared Roles: Tool to list shared roles for a dataset. Use when you need to view who has access to a dataset and their permission levels.
- List Deleted Custom Jobs: Tool to list all deleted custom jobs in DataRobot. Use when you need to retrieve information about custom jobs that have been deleted from the system.
- List Deployment Challengers: Tool to list challenger models for a deployment. Use when retrieving challenger models that can replace the current champion model.
- List Deployment Custom Metrics: Tool to retrieve a list of custom metrics for a deployment. Use when you need to view all custom metrics configured for a specific deployment.
- List Deployment Custom Metrics Summary: Tool to retrieve the summary of a deployment custom metric. Use when you need to view aggregated statistics and performance metrics for a specific custom metric within a deployment over a time period.
- List Deployment Custom Metrics Values Over Batch: Tool to retrieve custom metric values over batch for a deployment. Use when you need to analyze custom metric performance across different batches for a specific deployment and custom metric.
- List Deployment Custom Metrics Values Over Time: Tool to retrieve custom metric values over time for a deployment. Use when analyzing custom metric trends or monitoring custom metrics across time periods.
- List Deployment Health Settings: Tool to retrieve deployment health settings. Use when you need to check the configuration for health monitoring of a deployment.
- List Deployment Monitoring Batch Models: Tool to list information about models that have data in a monitoring batch. Use when you need to view which models contributed predictions to a specific batch.
- List Deployment Monitoring Batches: Tool to list monitoring batches for a deployment in DataRobot. Use when you need to retrieve paginated monitoring batches with optional filtering by creator, search term, creation time, or prediction timestamps.
- List Deployment Predictions Over Batch: Tool to retrieve prediction metadata over batches for a deployment. Use when analyzing batch prediction performance and trends.
- List Deployment Predictions Over Time: Tool to retrieve metrics about predictions over time for a deployment. Use when analyzing prediction patterns, distribution trends, or monitoring prediction characteristics across time periods for a specific deployment.
- List Deployment Quota Consumers: Tool to retrieve deployment quota consumers. Use when querying resource consumption or quota allocation for a specific deployment.
- List Deployment Retraining Policies: Tool to list retraining policies for a deployment. Use when retrieving policies that automate model retraining based on triggers.
- List Deployment Retraining Settings: Tool to fetch deployment retraining settings. Use when you need to retrieve the retraining configuration for a specific deployment.
- List Deployment Runtime Parameters: Tool to list runtime parameters for a deployment. Use when retrieving deployment runtime parameter configurations.
- List Deployment Segment Attributes: Tool to retrieve segment attributes for a deployment based on monitoring type. Use when you need to analyze deployment segmentation for service health, data drift, accuracy, or other monitoring metrics.
- List Deployment Service Stats Over Batch: Tool to retrieve service health metrics over batch for a deployment. Use when analyzing service performance across different batches.
- List Deployment Settings: Tool to retrieve deployment settings. Use when you need to check configuration settings for data drift, predictions, accuracy, and other deployment features.
- List Deployments: Tool to list deployments a user can view. Use when retrieving paginated deployments from DataRobot.
- List Deployments Accuracy Over Batch: Tool to retrieve accuracy metrics over batches for a deployment. Use when analyzing batch-level model accuracy trends or comparing performance across batches.
- List Deployments Actuals Data Exports: Tool to retrieve a list of asynchronous actuals data exports for a deployment. Use when you need to monitor or retrieve actuals data export status for a specific deployment.
- List Deployments Batch Service Stats: Tool to retrieve service health metrics for a deployment's batch predictions. Use when analyzing batch service performance, execution times, or error rates.
- List Deployments Challenger Replay Settings: Tool to retrieve challenger replay settings for a deployment. Use when checking scheduled replay configuration for challenger models.
- List Deployments Custom Metrics Batch Summary: Tool to retrieve the summary of deployment batch custom metric. Use when you need to get aggregated custom metric data for a specific deployment batch.
- List Deployments Custom Metrics Summary: Tool to retrieve the bulk summary of deployment custom metrics. Use when you need to get an overview of all custom metric values for a deployment over a specific time period.
- List Deployments Feature Drift: Tool to retrieve feature drift scores for a deployment over a time period. Use when you need to analyze feature drift metrics to monitor data quality and distribution changes in production.
- List Deployments Feature Drift Over Batch: Tool to retrieve drift over batch info for features of a deployment. Use when analyzing feature drift across batches to monitor data quality.
- List Deployments Health Settings Defaults: Tool to retrieve default deployment health settings for a deployment. Use when you need to understand the default health monitoring configuration.
- List Deployments Humility Stats: Tool to retrieve humility stats for a deployment. Use when you need to analyze humility metrics and rule violations for a specific deployment over a time period.
- List Deployments Humility Stats Over Time: Tool to retrieve humility statistics over time for a deployment. Use when monitoring humility rule performance and trends across time periods.
- List Deployments Model History: Tool to retrieve champion model history for a deployment. Use when examining model changes and deployment history over time.
- List Deployments Model Secondary Dataset Configuration History: Tool to list the secondary datasets configuration history for a deployment. Use when tracking changes to secondary dataset configurations over time.
- List Deployments Prediction Results: Tool to retrieve predictions results for a deployment. Use when you need to analyze prediction outputs and compare them with actual values.
- List Deployments Predictions Vs Actuals Over Time: Tool to retrieve predictions vs actuals over time for a deployment. Use when analyzing prediction quality and comparing predicted values with actual outcomes across time periods.
- List Deployments Segment Values: Tool to retrieve deployment segment values for monitoring and analytics. Use when filtering or analyzing deployment predictions by segment attributes.
- List Deployments Service Stats: Tool to retrieve service health metrics for a deployment. Use when analyzing deployment service performance, request rates, error rates, or execution times.
- List Deployments Service Stats Over Time: Tool to retrieve service health metrics over time for a deployment. Use when analyzing service performance trends and patterns across time periods.
- List Deployments Shared Roles: Tool to get a model deployment's access control list. Use when you need to view who has access to a deployment and their permission levels.
- List Deployments Target Drift: Tool to retrieve target drift for a deployment over a specified time period. Use when analyzing target distribution changes between training and prediction data.
- List Entitlement Set Leases: Tool to retrieve entitlement set leases from DataRobot. Use when you need to list or filter entitlement set leases by entitlement set ID, tenant ID, or status.
- List Entity Notification Policy Templates Related Policies: Tool to retrieve all policies created from a notification policy template. Use when you need to view policies associated with a specific template that are visible to the user.
- List Entity Notification Policy Templates Shared Roles: Tool to list shared roles for an entity notification policy template. Use when retrieving the access control list for notification policy templates.
- List Entity Tags: Tool to retrieve a list of entity tags from DataRobot. Use when you need to list or search for entity tags.
- List Event Logs: Tool to retrieve audit log records from DataRobot. Use when you need to track user actions, administrative events, or system activities for compliance and monitoring.
- List Event Logs Events: Tool to retrieve all available events from DataRobot event logs. Use when you need to list event labels for filtering or querying event logs. Note: This is a deprecated API.
- List Event Logs Prediction Usage: Tool to retrieve prediction usage event logs from DataRobot. Use when you need to track prediction activity within a specified time range (max 24 hours).
- List Execution Environment Versions: Tool to list all versions of an execution environment in DataRobot. Use when you need to browse available versions of a specific execution environment, optionally filtered by build status or search criteria.
- List Execution Environments: Tool to list execution environments in DataRobot. Use when retrieving available execution environments for custom models, notebooks, or other use cases.
- List Execution Environments Versions Build Log: Tool to download execution environment build log. Use when you need to retrieve build logs for a specific execution environment version.
- List External Data Driver Configuration: Tool to retrieve external data driver configuration details by driver ID. Use when you need to understand JDBC connection requirements for a specific driver.
- List External Data Drivers: Tool to list all available external data drivers in DataRobot. Use when retrieving the catalog of data drivers for data connectivity.
- List External Data Sources Access Control: Tool to list users with their roles on an external data source. Use when you need to retrieve access control information for a specific data source.
- List External Data Sources Permissions: Tool to list permissions for the current user on an external data source. Use when you need to check what actions the user can perform on a specific data source.
- List External Data Sources Shared Roles: Tool to get an external data source's access control list. Use when you need to view who has access to a data source and their permission levels.
- List External Data Store Credentials: Tool to list credentials associated with a specified external data store. Use when you need to retrieve all credentials linked to a data store.
- List External Data Store Standard User-Defined Functions: Tool to retrieve detected standard user-defined functions for a given external data store. Use when you need to list available standard UDFs for a specific data store, credentials, function type, and schema.
- List External Data Store Tables: Tool to retrieve database tables and views from a DataRobot external data store. Use when you need to browse available tables before creating a dataset from an external data source.
- List External Data Stores: Tool to list external data stores in DataRobot. Use when you need to browse available data stores, filter by type, database type, connector type, or search by name.
- List External Data Stores Permissions: Tool to retrieve permissions for an external data store. Use when you need to check what actions a user can perform on a specific data store.
- List External Data Stores Shared Roles: Tool to list access control entries (shared roles) for an external data store. Use when you need to retrieve who has access to a specific data store and their roles.
- List External Driver Configurations: Tool to list available external driver configurations in DataRobot. Use when you need to retrieve driver configurations for data connectivity, optionally filtered by type or visibility.
- List External OAuth Providers: Tool to list external OAuth providers configured in DataRobot. Use when retrieving available OAuth integrations for external services like GitHub, GitLab, Bitbucket, Google, Box, Microsoft, Jira, or Confluence.
- List Feature Association Featurelists: Tool to list all featurelists with feature association matrix availability flags for a project. Use when you need to check which featurelists have feature association matrices available.
- List Feature Effects: Tool to retrieve Feature Effects for a DataRobot model. Feature Effects show how each feature impacts predictions, including partial dependence and predicted vs actual relationships. Use when analyzing feature behavior and model interpretability.
- List Feature Lists: Tool to list all feature lists for a project. Use when you need to retrieve and filter feature lists associated with a DataRobot project.
- List Feature Multiseries Properties: Tool to retrieve potential multiseries ID columns to use with a particular datetime partition column. Use when configuring time series projects with multiseries functionality.
- List GenAI Chat Prompts: Tool to list GenAI chat prompts in DataRobot. Use when retrieving chat prompts associated with playgrounds, LLM blueprints, or chat sessions.
- List GenAI Chats: Tool to list GenAI chats available to the user. Use when retrieving paginated chats from DataRobot GenAI.
- List GenAI Comparison Prompts: Tool to list GenAI comparison prompts filtered by comparison chat ID or LLM blueprint IDs. Use when retrieving comparison prompts for analysis or testing.
- List GenAI Custom Model Embedding Validations: Tool to list GenAI custom model embedding validations. Use when retrieving paginated custom model embedding validation records from DataRobot.
- List GenAI Custom Model Vector Database Validations: Tool to list custom model vector database validations for GenAI use cases. Use when retrieving validations for custom models used as vector databases in RAG workflows.
- List GenAI Evaluation Dataset Configurations: Tool to list GenAI evaluation dataset configurations. Use when you need to retrieve evaluation dataset configurations for a specific use case and playground.
- List GenAI LLM Blueprints: Tool to list LLM blueprints for building generative AI applications with various large language models. Use when you need to browse available LLM blueprints for GenAI deployments.
- List GenAI LLM Test Configurations: Tool to list GenAI LLM test configurations. Use when retrieving paginated LLM test configurations from DataRobot AI Robustness Tests.
- List GenAI LLM Test Configurations OOTB Datasets: Tool to list out-of-the-box (OOTB) datasets for GenAI LLM test configurations. Use when you need to retrieve available datasets for LLM compliance and robustness testing.
- List GenAI LLM Test Configurations Supported Insights: Tool to list supported insights for LLM test configurations in DataRobot. Use when retrieving available insight types for a use case or playground.
- List GenAI LLM Test Results: Tool to list GenAI LLM test results filtered by use case and playground. Use when retrieving test results for LLM robustness evaluations.
- List GenAI LLM Test Suites: Tool to list GenAI LLM test suites in DataRobot. Use when retrieving AI robustness test suites for LLM models.
- List GenAI LLMs: Tool to list all available GenAI LLMs in DataRobot. Use when you need to retrieve available language models for GenAI applications.
- List GenAI Playground Traces: Tool to list all prompt traces for a GenAI playground. Use when you need to retrieve execution history and tracing data from playground prompts.
- List GenAI Playgrounds: Tool to list all GenAI playgrounds accessible by the user. Use when you need to browse or filter available playgrounds for LLM blueprint development.
- List GenAI Playgrounds OOTB Metric Configurations: Tool to list OOTB metric configurations for a GenAI playground. Use when you need to retrieve all out-of-the-box metric configurations associated with a specific playground.
- List GenAI Playgrounds Supported Insights: Tool to list supported insights for a GenAI playground. Use when you need to retrieve all available insight configurations for a specific playground.
- List GenAI Sidecar Model Metric Validations: Tool to list GenAI sidecar model metric validations from DataRobot. Use when retrieving available metric validation configurations for generative AI models.
- List GenAI User Limits LLM API Calls: Tool to retrieve the count of LLM API calls made by the authenticated user. Use when you need to check how many LLM API requests the user has made that count towards their usage limits.
- List GenAI User Limits Vector Databases: Tool to retrieve the number of vector databases the user has created which count towards the usage limit. Use when checking GenAI user limits for vector database resources.
- List GenAI Vector Databases: Tool to list all GenAI vector databases used for RAG (Retrieval Augmented Generation) applications. Use when you need to retrieve or filter vector databases.
- List GenAI Vector Databases Supported Retrieval Settings: Tool to list all supported retrieval settings for GenAI vector databases. Returns configuration options for retrieval parameters including retriever names, retrieval modes, and document retrieval limits.
- List GenAI Vector Databases Supported Text Chunkings: Tool to list all supported text chunking configurations for GenAI vector databases. Returns recommended chunking parameters for each supported embedding model including recursive and semantic chunking methods.
- List Grid Search Scores: Tool to retrieve grid search scores for a specific model in a DataRobot project. Use when analyzing hyperparameter tuning results or comparing parameter combinations for model optimization.
- List Guard Configurations: Tool to list guard configurations for a specific entity in DataRobot. Use when you need to retrieve guard configurations associated with a custom model, custom model version, or playground.
- List Guard Configurations Prediction Environments In Use: Tool to show prediction environments in use for moderation by a specific custom model version. Use when you need to identify which prediction environments are using a particular guard configuration custom model.
- List Guard Templates: Tool to list guard templates in DataRobot. Use when retrieving available guardrails templates for LLM deployments.
- List Image Augmentation Lists: Tool to list image augmentation lists for a DataRobot project. Use when retrieving augmentation lists for image-based projects.
- List Lift Charts for Model Datasets: Tool to retrieve list of lift chart data on prediction datasets for a project model. Use when you need to analyze lift chart performance metrics for model predictions across different datasets.
- List MLOps Compute Bundles: Tool to list resource bundles for MLOps compute. Use when retrieving available compute bundles for custom models, jobs, or applications.
- List Model Dataset ROC Curves: Tool to retrieve ROC curve data for a model's prediction datasets. Use when analyzing model performance via ROC curves. NOTE: This endpoint is deprecated; DataRobot recommends using /api/v2/insights/rocCurve/models/{entityId}/ instead.
- List Model Feature Effects Metadata: Tool to retrieve Feature Effects metadata for a model. Use when you need to check the status and available sources for Feature Effects computation.
- List Model Feature Impact: Tool to retrieve feature impact scores for features in a DataRobot model. Use when you need to understand which features have the most impact on model predictions.
- List Model Features: Tool to retrieve the list of features used in a specific DataRobot model. Use when you need to understand which features a model is using for predictions or analysis.
- List Model Lift Charts: Tool to retrieve all available lift charts for a DataRobot model. Use when analyzing model performance to understand how well the model separates predictions. Lift charts show mean actual vs predicted values across bins sorted by prediction value.
- List Model Package Capabilities: Tool to retrieve capabilities of a model package. Use after creating or loading a model package to check supported features.
- List Model Package Features: Tool to retrieve features in a model package. Use after model package creation to explore its feature set.
- List Model Package Model Logs: Tool to list model logs for a specific model package. Use when you need to retrieve log entries generated during model package operations.
- List Model Packages: Tool to list model packages. Use when you need to search or page through model packages.
- List Model Packages Shared Roles: Tool to get model package's access control list. Use when you need to retrieve shared roles for a specific model package.
- List Model ROC Curves: Tool to retrieve all available ROC curves for a binary classification model. Use when you need to analyze model performance across all data sources (validation, holdout, cross-validation).
- List Model Records: Retrieve a paginated list of trained model records from a DataRobot project. Returns model metadata including model type, metrics, training info, and configuration. Use this to explore models built during AutoML or manually submitted models. Supports filtering by characteristics, search terms, labels, blueprints, model families, and sorting by metrics.
- List Model Supported Capabilities: Tool to retrieve supported capabilities for a model. Use after training a model to check which insights and features are available.
- List Moderation Supported LLMs: Tool to list supported LLMs for moderation in DataRobot. Use when retrieving available LLM models for moderation purposes.
- List Multilabel Insights Pairwise Manual Selections: Tool to retrieve all manually selected label lists for pairwise multilabel insights analysis. Use when analyzing multilabel features to get user-defined label combinations for pairwise comparison.
- List Notebook Cells: Tool to retrieve all cells from a DataRobot notebook. Use when you need to inspect or analyze the contents of a specific notebook.
- List Notebook Code Snippets: Tool to retrieve all available notebook code snippets from DataRobot. Use when you need to discover or browse code snippets for notebooks.
- List Notebook Code Snippets Tags: Tool to retrieve available tags for notebook code snippets from DataRobot. Use when you need to discover or filter code snippet tags.
- List Notebook Execution Environment Notebooks: Tool to list notebooks that use a specific execution environment in DataRobot. Use when you need to see which notebooks are using a particular execution environment.
- List Notebook Execution Environment Ports: Tool to list exposed ports for a notebook execution environment. Use when you need to retrieve port information for a specific notebook environment.
- List Notebook Execution Environment Versions: Tool to list all versions of a notebook execution environment. Use when retrieving version history for a specific notebook execution environment.
- List Notebook Execution Environments: Tool to list all notebook execution environments in DataRobot. Use when you need to browse available execution environments for notebooks.
- List Notebook Execution Environments Machines: Tool to list available machine types for notebook execution environments. Use when you need to retrieve machine specifications for notebooks.
- List Notebook Jobs Run History: Tool to list notebook job run history in DataRobot. Use when you need to retrieve historical execution records of scheduled or manually triggered notebook jobs.
- List Notebook Sessions Terminals: Tool to list all terminals in a DataRobot notebook session. Use when you need to retrieve terminal sessions for a running notebook.
- List Notebooks: Tool to list Jupyter notebooks in DataRobot workspace. Use when you need to browse or filter available notebooks for data exploration and model development.
- List Notebooks Filter Options: Tool to retrieve available filter options for notebooks, including tags and owners. Use when you need to get valid filter values before filtering notebooks.
- List Notebooks Shared Roles: Tool to get access control lists for multiple notebooks. Use when you need to retrieve shared roles for several notebooks at once.
- List Notebooks Shared Roles By ID: Tool to get a notebook's access control list. Use when you need to retrieve shared roles and permissions for a specific notebook.
- List Notification Channel Templates: Tool to list notification channel templates in DataRobot. Use when retrieving available notification channel templates for setting up alerts and notifications.
- List Notification Channel Templates Policy Templates: Tool to retrieve list of all policy templates using a specific notification channel template. Use when you need to identify which policies are configured to use a particular channel.
- List Notification Channel Templates Related Policies: Tool to retrieve all policies created from a notification channel template. Use when you need to view policies associated with a specific channel template that are visible to the user.
- List Notification Channel Templates Shared Roles: Tool to get channel template's access control list. Use when you need to view who has access to a notification channel template and their permission levels.
- List Notification Events: Tool to list notification event types and groups available for notification policies. Use when creating or updating notification policies to see available event types.
- List OCR Job Resources: Tool to retrieve user's OCR job resources from DataRobot. Use when you need to list and browse OCR job resources with pagination support.
- List OTel Metrics Values Over Time: Tool to retrieve OpenTelemetry configured metrics values for a specific entity over time. Use when monitoring or analyzing entity performance metrics over time periods.
- List OpenTelemetry Logs: Tool to retrieve OpenTelemetry logs for a specified entity. Use when debugging deployments or investigating issues with custom applications, workloads, or other entities.
- List OpenTelemetry Metrics Autocollected Values: Tool to get aggregated values of OpenTelemetry metrics that DataRobot automatically collects for a specified entity. Use when monitoring deployments, use cases, or workloads with auto-collected metrics.
- List OpenTelemetry Metrics Configs: Tool to list OpenTelemetry metric configurations for a specified entity. Use when you need to retrieve metric collection settings for deployments, use cases, or other DataRobot entities.
- List OpenTelemetry Metrics Pod Info: Tool to list pods and containers found in OpenTelemetry metrics of the specified entity. Use when retrieving pod and container information from deployment, use case, or workload monitoring data.
- List OpenTelemetry Metrics Summary: Tool to list reported OpenTelemetry metrics of the specified entity. Use when retrieving available OTEL metrics for deployments, use cases, or other DataRobot entities.
- List OpenTelemetry Metrics Value Over Time: Tool to get a single OpenTelemetry metric value of the specified entity over time. Use when analyzing container resource usage, performance metrics, or custom telemetry for deployments, use cases, or other DataRobot entities.
- List OpenTelemetry Metrics Values: Tool to get OpenTelemetry metrics values for a specific entity over a single time period. Use when retrieving OTEL performance metrics for deployments, use cases, or other entities.
- List OpenTelemetry Traces: Tool to list OpenTelemetry traces for a specified entity (deployment, use case, etc.). Use when retrieving observability data to debug or monitor AI applications.
- List Optimized Datetime Partitionings: Tool to list all created optimized datetime partitioning configurations for a project. Use when you need to retrieve the datetime partitioning options that have been generated for time-series modeling.
- List Organization Users: Tool to list memberships (users) in an organization. Use when you need to page through or filter users by ID.
- List Overall Moderation Configuration: Tool to get overall moderation configuration for an entity. Use when you need to retrieve moderation settings for custom models, custom model versions, or playgrounds.
- List Pinned Use Cases: Tool to list all pinned use cases in DataRobot. Use when you need to retrieve the user's pinned use cases (up to 8).
- List Prediction Data Exports: Tool to list prediction data exports for a deployment. Use when retrieving paginated prediction data exports from DataRobot for observability and data exploration.
- List Prediction Environments: Lists all available prediction environments. Use this to find an environment ID for deploying models. Returns environment details including platform type, supported model formats, and management status.
- List Prediction Servers: Tool to list prediction servers available to the user. Use after authenticating to retrieve real-time and batch scoring endpoints.
- List Predictions vs Actuals Over Batch: Tool to retrieve metrics about predictions and actuals over a specific set of batches. Use when you need to analyze mean predicted & actual values, predicted & actual class distributions for a deployment.
- List Prime Models: Tool to list all Prime models in a DataRobot project. Use when you need to retrieve Prime models, which are interpretable rule-based approximations of complex models.
- List Prime Rulesets: Tool to list DataRobot Prime rulesets that approximate a specific model. Use when you need to retrieve interpretable rule-based approximations of a trained model.
- List Project Blender Models: Tool to list all blender models in a DataRobot project. Use when you need to retrieve blender (ensemble) models that combine multiple sub-models.
- List Project Blueprints: Tool to list all blueprints available in a DataRobot project. Use when you need to explore available modeling blueprints for a project.
- List Project Document Thumbnails: Tool to list document thumbnail metadata for a DataRobot project. Use when retrieving document page information for features with document data.
- List Project Feature Frequent Values: Tool to retrieve frequent values information for a feature in a DataRobot project. Use when analyzing feature distributions or data quality for a specific feature.
- List Project Features: Tool to list all features in a DataRobot project. Use when you need to retrieve feature details, statistics, and metadata for analysis or model preparation.
- List Project Features Metrics: Tool to retrieve available metrics for a specific feature in a DataRobot project. Use when you need to check which metrics are compatible with a given feature as a target.
- List Project Image Activation Maps: Tool to list all image activation maps for a DataRobot project. Use when you need to retrieve activation map records for visual AI models.
- List Project Image Embeddings: Tool to list all image embeddings for a DataRobot project. Use when you need to retrieve image embeddings generated for a project.
- List Project Images: Tool to retrieve image metadata for a DataRobot project. Use when you need to list images from a project with image data, optionally filtering by column or target values.
- List Project Jobs: Tool to list all jobs for a given DataRobot project. Use when you need to inspect or monitor the status of jobs within a project, optionally filtering by status.
- List Project Modeling Featurelists: Tool to list all modeling featurelists from a DataRobot project. Use when you need to retrieve featurelists available for modeling in a specific project.
- List Project Models: Tool to list models for a DataRobot project. Use when retrieving models from a specific project.
- List Project Predict Jobs: Tool to list all prediction jobs for a given DataRobot project. Use when you need to inspect or monitor prediction job statuses within a project, optionally filtering by status.
- List Project Prediction Datasets: Tool to list prediction datasets uploaded to a DataRobot project. Use when you need to browse or retrieve prediction datasets for batch predictions or accuracy tracking.
- List Project Prediction Explanations Records: Tool to list prediction explanations records for a DataRobot project. Use when you need to retrieve prediction explanations that have been computed for models in a project.
- List Project Predictions: Tool to list prediction records for a DataRobot project. Use when retrieving batch prediction metadata for a specific project.
- List Project Predictions Metadata: Tool to list prediction metadata records for a DataRobot project. Use when you need to retrieve information about predictions made by models in a specific project.
- List Project Recommended Models: Tool to list recommended models for a DataRobot project. Use when you need to retrieve the models that DataRobot recommends for deployment or further analysis based on accuracy and performance characteristics.
- List Project RuleFit Files: Tool to list RuleFit code files for a DataRobot project. Use when you need to retrieve RuleFit code files, optionally filtered by a specific RuleFit model.
- List Project SHAP Matrices: Tool to list SHAP matrix records for a DataRobot project. Use when you need to retrieve SHAP explanations for models in a project. Note: This is a deprecated API endpoint.
- List Project Secondary Datasets Configurations: Tool to list all secondary dataset configurations for a DataRobot project. Use when you need to retrieve configurations for secondary datasets used in modeling.
- List Projects: Tool to list all available DataRobot projects. Use when retrieving a catalog of projects to select from.
- List Projects Bias Mitigation Feature Info: Tool to get bias mitigation data quality information for a given project and feature. Use when analyzing protected features for fairness and bias issues.
- List Projects Bias vs Accuracy Insights: Tool to list bias vs accuracy insights for a DataRobot project. Use when evaluating model fairness and accuracy trade-offs.
- List Projects Blueprints Blueprint Docs: Tool to retrieve blueprint tasks documentation. Use when you need detailed information about the tasks, parameters, and references in a blueprint.
- List Projects Combined Models: Tool to retrieve all existing combined models for a DataRobot project. Use when you need to list combined models from segmented modeling projects.
- List Projects Data Slices: Tool to list paginated data slices for a specific DataRobot project. Use when you need to browse or filter data slices within a project.
- List Projects Datetime Models: Tool to list datetime partitioned models in a DataRobot project. Use when you need to retrieve models from time series projects with datetime partitioning.
- List Projects Datetime Models Accuracy Over Time Plots: Tool to retrieve metadata for Accuracy over Time insights for datetime models. Use when analyzing time series model accuracy trends across backtests and holdout sets.
- List Projects Document Text Extraction Samples: Tool to list metadata on all computed document text extraction samples in a DataRobot project across all models. Use when you need to retrieve document text extraction sample information for a specific project.
- List Projects External Scores: Tool to list external scores on prediction datasets for a DataRobot project. Use when retrieving scoring results for predictions made on external datasets.
- List Projects Feature Association Matrix: Tool to retrieve pairwise feature association statistics for a DataRobot project. Use when you need to analyze feature correlations or associations between features in a project.
- List Projects Feature Association Matrix Details: Tool to retrieve feature association matrix details between two features in a DataRobot project. Use when you need to analyze the relationship and association between a pair of features for visualization.
- List Projects Frozen Models: Tool to list all frozen models from a DataRobot project. Use when you need to retrieve frozen model records from a specific project.
- List Projects Model Jobs: Tool to list modeling jobs for a given DataRobot project. Use when you need to inspect or monitor the status of model training jobs within a project, optionally filtering by status.
- List Projects Modeling Features: Tool to list all modeling features for a DataRobot project. Use when you need to retrieve feature metadata, statistics, and importance scores for model training.
- List Projects Models Advanced Tuning Parameters: Tool to retrieve information about all advanced tuning parameters available for a specified model. Use when you need to understand what parameters can be tuned for a model before creating an advanced tuned version.
- List Projects Models Blueprint Docs: Tool to retrieve task documentation for a reduced model blueprint. Use when you need detailed information about the tasks, parameters, and references in a model's blueprint.
- List Projects Models Cross Class Accuracy Scores: Tool to list cross-class accuracy scores for a specific model in a project. Use when analyzing per-class accuracy metrics for bias and fairness evaluation.
- List Projects Models Cross Validation Scores: Tool to retrieve cross-validation scores for each partition in a DataRobot model. Use when evaluating model performance across different cross-validation folds.
- List Projects Models Data Disparity Insights: Tool to retrieve Cross Class Data Disparity insights for a DataRobot model. Use when analyzing data disparity between two classes for a protected feature.
- List Projects Multicategorical Invalid Format: Tool to retrieve multicategorical data quality log for a DataRobot project. Use when you need to check for multicategorical feature format errors.
- List Projects Multiseries Names: Tool to list the names of a multiseries project. Use when you need to retrieve series names from a multiseries time series project.
- List Projects Payoff Matrices: Tool to list all payoff matrices for a DataRobot project. Use when retrieving payoff matrices to evaluate model cost-benefit trade-offs.
- List Projects Prime Files: Tool to list Prime files available in a DataRobot project. Use when you need to retrieve exportable Prime model code files.
- List Projects Rating Table Models: Tool to list rating table models for a DataRobot project. Use when you need to retrieve all rating table models associated with a project.
- List Projects Rating Tables: Tool to list rating tables for a DataRobot project. Use when you need to retrieve all rating tables associated with a specific project.
- List Projects Training Predictions: Tool to list training prediction jobs for a specific DataRobot project. Use when you need to retrieve training predictions that have been generated for models within a project.
- List Quota Templates: Tool to list quota templates in DataRobot. Use when retrieving available quota templates for resource management.
- List Quotas: Tool to list all quotas configured in DataRobot. Use when retrieving quota configurations for resources or users.
- List Recipe Inputs: Tool to get inputs on a recipe. Use when you need to retrieve the list of inputs configured for a specific recipe.
- List Recipe Insights: Tool to retrieve recipe insights for a specific recipe. Use when analyzing feature characteristics and statistics for a data wrangling recipe.
- List Recipes Preview: Tool to retrieve a wrangling recipe preview. Use when you need to see sample data output from a recipe.
- List Recommended Settings Choices: Tool to retrieve available setting choices list for an entity type. Use when you need to discover what recommended settings are available before configuring them.
- List Registered Model Deployments: Tool to list deployments associated with a registered model. Use when retrieving deployments for a specific registered model with pagination and filtering support.
- List Registered Model Version Deployments: Tool to list all deployments associated with a registered model version. Use when retrieving deployment information for a specific model version.
- List Registered Model Versions: Tool to list versions of a registered model. Use when you need to view or search through versions of a specific registered model in DataRobot.
- List Registered Models: Tool to list registered models from DataRobot. Use when you need to search, filter, or page through registered models in the model registry.
- List Registered Models Shared Roles: Tool to get a registered model's access control list. Use when you need to view who has access to a specific registered model and their assigned roles.
- List Scheduled Jobs: Tool to list scheduled deployment batch prediction jobs a user can view. Use when retrieving paginated scheduled jobs from DataRobot.
- List Seat License Allocations: Tool to list seat license allocations. Use when you need to retrieve seat license allocation information with optional filtering by IDs, organization, or subjects.
- List Secure Config Schemas: Tool to retrieve a list of secure configuration schemas. Use when you need to list available secure configuration schemas with optional filtering by name.
- List Secure Config Values: Tool to retrieve a list of values for a secure configuration. Use when you need to fetch the key-value pairs associated with a specific secure configuration.
- List Secure Configurations: Tool to retrieve a list of secure configurations in DataRobot. Use when you need to browse or filter available secure configurations for credentials management.
- List Status Jobs: Tool to list currently running async status jobs in DataRobot. Use when you need to monitor or inspect the status of asynchronous tasks across the system.
- List Tenant Usage Resources Categories: Tool to get available resource categories for tenant usage. Use when retrieving the list of resource categories that can be used for filtering or analyzing tenant usage data.
- List Tenants Resource Categories: Tool to retrieve available resource categories for a specific tenant. Use when you need to understand what resource types are available for a tenant.
- List Training Data Exports: Tool to list training data exports for a deployment. Use when retrieving paginated training data exports from DataRobot for observability and data exploration.
- List Usage Data Exports Supported Events: Tool to list supported audit events for usage data export filtering. Use when you need to discover available event types before creating or filtering usage data exports.
- List Use Case Custom Applications: Tool to list custom applications referenced by a DataRobot use case. Use when you need to retrieve custom applications associated with a specific use case.
- List Use Case Data: Tool to retrieve a list of datasets and recipes from a specific DataRobot Use Case. Use when you need to browse or filter available datasets and recipes within a use case.
- List Use Case Datasets: Tool to get a list of datasets associated with a DataRobot Use Case. Use when you need to view or filter datasets within a specific Use Case.
- List Use Case Deployments: Tool to get deployments associated with a use case. Use when retrieving paginated deployments linked to a specific DataRobot use case.
- List Use Case Models for Comparison: Tool to get models from projects in a Use Case for comparison. Use when you need to compare models across multiple projects within a Use Case, filter by metrics, or find top-performing models.
- List Use Case Notebooks By ID: Tool to get a list of notebooks associated with a specific Use Case by ID. Use when you need to retrieve notebooks for a particular use case in DataRobot.
- List Use Case Projects: Tool to get a list of projects associated with a use case. Use when retrieving paginated projects linked to a specific DataRobot use case.
- List Use Case Registered Models: Tool to get registered models associated with a use case. Use when retrieving paginated registered models linked to a specific DataRobot use case.
- List Use Case Resources: Tool to get a list of the references associated with a DataRobot use case. Use when retrieving resources linked to a specific use case.
- List Use Case Vector Databases: Tool to retrieve a list of vector databases associated with a DataRobot Use Case. Use when you need to browse or filter vector databases linked to a specific use case.
- List Use Cases: Tool to retrieve a list of Use Cases from DataRobot. Use when you need to browse or filter available Use Cases to select one for further operations.
- List Use Cases All Resources: Tool to get a list of references associated with all Use Cases. Use when retrieving all resources (projects, datasets, files, etc.) linked to any Use Case.
- List Use Cases Applications: Tool to list applications associated with a DataRobot Use Case. Use when retrieving a paginated list of applications for a specific Use Case.
- List Use Cases Files: Tool to list catalog files associated with a specific Use Case. Use when retrieving files from a DataRobot Use Case for further analysis or processing.
- List Use Cases Notebooks: Tool to get a list of notebooks from all Use Cases. Use when you need to retrieve or browse notebooks across all use cases in DataRobot.
- List Use Cases Playgrounds: Tool to list playgrounds associated with a Use Case. Use when retrieving playground information for a specific use case.
- List Use Cases Shared Roles: Tool to get a use case's access control list. Use when you need to see who has access to a specific use case and their roles.
- List Use Cases With Shortened Info: Tool to retrieve a list of Use Cases with abbreviated content from DataRobot. Use when you need to quickly browse Use Cases without full metadata.
- List User Blueprints: Tool to list user blueprints from DataRobot. Use when retrieving custom blueprints created by users for model building.
- List User Blueprints Input Types: Tool to retrieve available input types for user blueprints. Use when you need to understand what input types are supported for custom blueprint creation.
- List User Blueprints Tasks: Tool to retrieve tasks for blueprint construction in DataRobot. Use when you need to view available tasks for creating or modifying blueprints, optionally filtered by project, blueprint, or user blueprint ID.
- List User Groups: Tool to list user groups. Use when you need to retrieve DataRobot user groups with optional filtering and pagination.
- List User Notifications: Tool to list user notifications in DataRobot. Use when you need to retrieve a paginated list of notifications for the authenticated user, optionally filtering by read/unread status.
- List Users in Group: Lists users in a specific DataRobot user group. Returns paginated user membership details including username, status, and organization. Use the List User Groups action first to obtain a valid groupId. Supports filtering by name, active status, and admin status, with sorting options.
- List VCS Git Providers: Tool to list all VCS Git providers configured in DataRobot. Use when you need to view available Git provider integrations.
- List Value Tracker Attachments: Tool to list resources attached to a DataRobot value tracker. Use when you need to retrieve datasets, deployments, models, or other resources associated with a specific value tracker.
- List Value Tracker Value Templates: Tool to list available value tracker templates in DataRobot. Use when you need to discover available value tracker templates for classification or regression models.
- List Value Tracker Value Templates Calculation: Tool to calculate value of template with given template parameters. Use when you need to estimate the value and savings of a DataRobot model based on accuracy improvements and decision costs.
- List Value Trackers: Tool to list Value Trackers that the requesting user has access to in DataRobot. Use when you need to retrieve a catalog of Value Trackers for review or selection.
- List Value Trackers Activities: Tool to retrieve the activities of a value tracker. Use when you need to view the history of changes and events for a specific value tracker.
- List Value Trackers Shared Roles: Tool to get a value tracker's access control list. Use when you need to view who has access to a value tracker and their permission levels.
- List Version: Tool to retrieve DataRobot API version information. Use when you need to check the API version or verify compatibility.
- List Wrangling Recipes: Tool to list all available wrangling recipes. Use when fetching paginated recipes for data wrangling.
- Move Entity Between Use Cases: Tool to move an entity (project, dataset, notebook, etc.) from one use case to another. Use when you need to reorganize entities across use cases or reassign entity ownership.
- Move Notebook Filesystem Object: Tool to move a file or directory within a DataRobot notebook session filesystem. Use when you need to relocate files or directories to a different path within the same notebook session.
- Pause or Unpause Autopilot: Tool to pause or unpause Autopilot for a project. Use when you need to stop or resume automated modeling jobs after confirming the project ID.
- Prepare Model for Deployment: Tool to prepare a DataRobot model for deployment by marking it as deployment-ready. Use when you have a trained model that needs to be packaged for deployment. The operation is asynchronous - poll the returned location URL to check completion status. After the model is deployment-ready, use DATAROBOT_CREATE_MODEL_PACKAGE to create a deployable package.
- Recover Deleted Dataset: Tool to recover a deleted dataset in DataRobot. Use when you need to restore a dataset that was previously marked as deleted.
- Recover Deleted Dataset Version: Tool to recover a deleted dataset version in DataRobot. Use when you need to restore a specific version of a dataset that was previously marked as deleted.
- Recover Deleted File: Tool to recover a deleted file from DataRobot. Use when you need to restore a previously deleted file by its catalog item ID.
- Remove Users from Group: Tool to remove one or more users from a DataRobot user group by groupId. Use when you need to revoke group membership for existing users. Limit 100 users per request.
- Rename File or Folder in Catalog: Tool to rename a file or folder within a DataRobot catalog item. Use when you need to change the path or name of a file or folder in the files catalog. Supports conflict resolution strategies like rename, replace, skip, or error.
- Request Execution Environment Version Build: Tool to request an on-demand image build for an execution environment version. Use when you need to trigger a build for a specific environment version before downloading or deploying it.
- Restore Notebook Revision: Tool to restore a DataRobot notebook to a specific revision. Use when you need to revert a notebook to a previous state identified by its revision ID.
- Retrain Model From Existing Model: Tool to retrain an existing model with specified parameters. Use when you need to create a new version of a model with different training settings, sample size, or feature list. This action is asynchronous and returns a job URL to monitor progress.
- Retrieve Data Store Schemas: Tool to retrieve data store schemas. Use when you need to list available schemas and catalogs from an external data store.
- Retrieve Model Scoring Code: Tool to retrieve scoring code JAR file for a specific DataRobot model. Use when you need to download the model's scoring code for local execution.
- Retrieve Rating Table File: Tool to retrieve a rating table file from a DataRobot project. Use when you need to download the source CSV file for a specific rating table.
- Send Email Verification Code for Notification Channel: Tool to send a 6-digit verification code to a user's email address for setting up a notification channel. Use this action before creating an email notification channel to verify the email address. The verification code sent via this endpoint should be used when creating the actual email notification channel.
- Stage File for Batch Upload: Tool to stage a file for a batch upload in DataRobot. Use when uploading files to a specific catalog item's stage. Returns the catalog ID and stage ID upon successful upload.
- Start Autopilot: Start Autopilot on a specific feature list for a DataRobot project. Prerequisites: The project must be in 'modeling' stage with a target already set. Use DATAROBOT_START_MODELING to set the target first if needed. This action allows you to run Autopilot on a different feature list than the default, or to restart Autopilot with different settings after the initial run completes.
- Start DataRobot Autopilot: Tool to start the data modeling (Autopilot) process for a DataRobot project. Use after uploading data and configuring the project to initiate modeling.
- Start OCR Job Resource: Start an OCR job resource for optical character recognition processing. Use after creating an OCR job resource to initiate the actual OCR processing.
- Stop Notebook Runtime: Tool to stop a running DataRobot notebook runtime. Use when you need to terminate an active notebook session to free up resources or end work.
- Test External Data Store Connection: Tool to test an external data store connection in DataRobot. Use when you need to validate that a data store is properly configured and accessible with the provided credentials.
- Train DataRobot Model: Tool to train a new model in a DataRobot project using a specific blueprint. Use this after obtaining a blueprintId from DATAROBOT_LIST_BLUEPRINTS or from existing models. The model training happens asynchronously - poll the returned location URL to monitor progress.
- Transform Feature Type: Create a new feature by changing the type of an existing feature in a DataRobot project. Use when you need to convert a single feature to a different variable type (e.g., numeric to text, categorical to numeric). The operation is asynchronous - monitor the returned Location URL for completion status.
- Update Access Role: Tool to update a custom Access Role. Use when you need to change the name or permissions of an existing custom role.
- Update Accuracy Metrics Config: Tool to update which accuracy metrics are returned by the accuracy endpoint for a deployment. Use after deployment is live to customize returned metrics.
- Update Batch Monitoring Job Definition: Tool to update a Batch Monitoring job definition. Use when you need to modify settings like name, schedule, or monitoring configuration for an existing batch monitoring job.
- Update Batch Prediction Job Definition: Tool to update an existing Batch Prediction job definition. Use when you need to modify job parameters, scheduling, or configuration for batch scoring operations.
- Update Batch Predictions: Tool to update a Batch Prediction job in DataRobot. Use when you need to hide/unhide a job or update job status information.
- Update Calendar: Tool to update a calendar's name in DataRobot. Use when you need to rename an existing calendar.
- Update Calendars Access Control: Tool to update access control for a calendar. Use when you need to grant, modify, or revoke user access to a calendar. Allows setting roles (OWNER, EDITOR, CONSUMER) for up to 100 users at once.
- Update Catalog Item: Tool to update a catalog item's name, description, or tags. Use when you need to modify metadata for an existing DataRobot catalog item.
- Update Challenger Replay Settings: Tool to update challenger replay settings for a deployment. Use to enable/disable scheduled replay and configure the schedule.
- Update Comment: Tool to update an existing comment in DataRobot. Use when you need to modify the content of a comment or update mentioned users.
- Update Compliance Doc Template Shared Roles: Tool to update shared roles for a compliance document template. Use when you need to grant, modify, or revoke access to a compliance doc template. Allows setting roles (OWNER, EDITOR, CONSUMER) for users, groups, or organizations. Maximum 100 entries per request.
- Update Compliance Doc Templates: Tool to update an existing model compliance documentation template in DataRobot. Use when you need to modify the name, description, labels, project type, or sections of a compliance template.
- Update Credentials: Tool to update existing DataRobot credentials. Use when you need to modify credential fields such as name, description, or credential-specific parameters (tokens, keys, etc.).
- Update Credentials Associations: Tool to add or remove objects associated with credentials. Use when you need to associate data connections with stored credentials or remove existing associations.
- Update Credentials Associations by ID: Tool to set default credentials for a data connection or batch prediction job. Use when you need to update the default status of a credential association.
- Update Custom Application Source: Tool to update a custom application source's name. Use when you need to rename an existing custom application source.
- Update Custom Application Source Version: Tool to update a custom application source version with new label, base environment, or files. Use when you need to modify an existing version's metadata or file configuration.
- Update Custom Job: Tool to update an existing DataRobot custom job. Use when you need to modify custom job properties like name, description, environment, or runtime parameters.
- Update Custom Job Shared Roles: Tool to update shared roles for a custom job. Use when you need to grant, modify, or revoke access to a custom job. Allows setting roles (OWNER, EDITOR, CONSUMER) for users, groups, or organizations. Maximum 100 entries per request.
- Update Custom Model: Tool to update a DataRobot custom model. Use when you need to modify properties of an existing custom model such as description, memory settings, class labels, or other configuration.
- Update Custom Model Access Control: Tool to update access control for a custom model. Use when you need to grant, modify, or revoke user access to a custom model. Allows setting roles (OWNER, EDITOR, CONSUMER) and share permissions for up to 100 users at once.
- Update Custom Model Version: Tool to update a custom model version in DataRobot. Use when you need to modify the description, git attributes, or metadata of an existing custom model version.
- Update Custom Model Version: Tool to update custom model version files and configuration in DataRobot. Use when you need to create a new version of a custom model by uploading new files or updating settings.
- Update Custom Models Versions With Training Data: Tool to add or replace training and holdout data for a custom model version. Use when you need to update the datasets associated with a custom model for training or validation purposes. The operation is asynchronous - poll the returned location URL to check completion status.
- Update Custom Task Version: Tool to update a DataRobot custom task version by uploading new files and/or updating configuration. Creates a new version (major or minor) of an existing custom task with updated code files. Use when you need to modify custom task code, change the base environment, or update task configuration.
- Update Custom Task Version: Tool to update a custom task version in DataRobot. Use when you need to modify the description or metadata of an existing custom task version.
- Update Data Stage Part: Tool to upload a part file to a DataRobot data stage. Use when uploading large datasets in multiple parts. The uploaded part is verified with a checksum and size returned in the response.
- Update Dataset Access Control: Tool to update access control for a dataset. Use when you need to grant, modify, or revoke user access to a dataset. Allows setting roles (OWNER, EDITOR, CONSUMER) and permissions (canShare, canUseData) for multiple users at once.
- Update Dataset Definitions Chunk Definitions: Tool to update a chunk definition in a dataset definition. Use when you need to modify chunk definition properties such as name, partition columns, or validation dates.
- Update Dataset Featurelist: Tool to update a dataset featurelist's name or description. Use when you need to modify the metadata of an existing dataset featurelist.
- Update Dataset Refresh Job: Tool to update a dataset refresh job configuration. Use when you need to modify the schedule, name, enabled status, or other settings for an existing dataset refresh job.
- Update Dataset Relationship: Tool to update an existing dataset relationship in DataRobot. Use when you need to modify the linked dataset or features used in a relationship between two datasets.
- Update Dataset Shared Roles: Tool to modify dataset shared roles in DataRobot. Use when you need to update permissions for users, groups, or organizations on a dataset. Updates roles by adding, modifying, or removing access permissions. Ensure at least one OWNER remains after updates.
- Update Dataset by ID: Tool to update a dataset's name or categories in DataRobot's global catalog. Use when you need to modify dataset metadata such as its name or intended-use categories.
- Update Datasets (Bulk Action): Tool to execute bulk actions on multiple datasets. Supports tagging, deleting, and updating role-based access (sharing/unsharing) for datasets. Use when you need to perform the same action on multiple datasets at once.
- Update Deployment: Tool to update an existing DataRobot deployment's metadata. Use when you need to modify a deployment's label, description, or importance level.
- Update Deployment Custom Metric: Tool to update settings for a deployment's custom metric. Use to modify metric description, directionality, units, or other configuration settings.
- Update Deployment Health Settings: Tool to update health settings for a DataRobot deployment. Configure monitoring thresholds for accuracy, data drift, service health, fairness, and timeliness. Use after deployment is active to customize health monitoring behavior.
- Update Deployment Model: Tool to replace a deployment's champion model with a different model or model package. Use when updating the active model in a deployment due to accuracy improvements, data drift, or performance needs.
- Update Deployment Monitoring Batch: Tool to update a monitoring batch in a deployment. Use when you need to modify batch properties like name, description, lock status, or external context URL.
- Update Deployment Settings: Tool to update deployment settings for a DataRobot deployment. Use when you need to configure settings like predictions data collection, feature drift, target drift, bias and fairness, humility, prediction intervals, and other deployment-level configurations.
- Update Deployment Shared Roles: Tool to modify deployment shared roles in DataRobot. Use when you need to update permissions for users, groups, or organizations on a deployment. Updates roles by adding, modifying, or removing access permissions. Ensure at least one OWNER remains after updates.
- Update Deployment Status: Tool to update deployment status. Use when you need to activate or deactivate a deployment. Returns 202 when job is submitted.
- Update Deployments Retraining Settings: Tool to update deployment retraining settings. Use when configuring automatic retraining for a deployment.
- Update Entity Notification Channel: Tool to update an entity notification channel for a deployment or custom job. Use when you need to modify the configuration of an existing notification channel, such as changing the name, language preference, or channel-specific settings like email addresses, payload URLs, or custom headers.
- Update Entity Notification Policies: Tool to update entity notification policy. Use when you need to modify notification settings for deployments or custom jobs.
- Update Entity Notification Policy Template: Tool to update an entity notification policy template in DataRobot. Use when you need to modify notification settings for existing templates. At least one optional field must be provided for update.
- Update Entity Tag: Tool to update an entity tag's name in DataRobot. Use when you need to rename an existing entity tag.
- Update Execution Environment: Tool to update a DataRobot execution environment. Use when you need to modify properties like description, name, programming language, or use cases of an existing environment.
- Update External Data Source: Tool to update an external data source's canonical name or configuration parameters. Use when modifying properties of an existing data source connection.
- Update External Data Source Shared Roles: Tool to modify external data source shared roles in DataRobot. Use when you need to update permissions for users, groups, or organizations on an external data source. Updates roles by adding, modifying, or removing access permissions. Ensure at least one OWNER remains after updates.
- Update External Data Sources Access Control: Tool to update access control roles for an external data source. Use when you need to grant, modify, or revoke user access permissions on a data source.
- Update External Data Store: Tool to update an external data store configuration. Use when you need to modify the name or parameters of an existing data store connection.
- Update External Data Store Access Control: Tool to update access control settings for an external data store. Use when you need to grant, modify, or revoke user access to a data store. Note: The request must not leave the data store without an owner.
- Update External Data Store Shared Roles: Tool to modify external data store shared roles in DataRobot. Use when you need to update permissions for users, groups, or organizations on an external data store. Updates roles by adding, modifying, or removing access permissions. Ensure at least one OWNER remains after updates.
- Update External OAuth Provider: Tool to update an external OAuth provider configuration. Use when you need to modify name, client secret, consent settings, or status of an existing OAuth provider.
- Update Feature List: Tool to update an existing feature list in a DataRobot project. Use when you need to rename or update the description of a feature list.
- Update GenAI Comparison Chat: Tool to update a GenAI comparison chat name. Use when you need to rename an existing comparison chat for better organization.
- Update GenAI Custom Model LLM Validations: Tool to update a GenAI custom model LLM validation. Use when you need to modify validation settings, rename, or change associated model/deployment IDs. At least one optional field must be provided for the update to succeed.
- Update GenAI Custom Model Vector Database Validations: Tool to update a GenAI custom model vector database validation. Use when you need to modify validation settings, rename, or change associated model/deployment IDs. At least one optional field must be provided for the update to succeed.
- Update GenAI Playground: Tool to update a GenAI playground. Use when you need to modify the name or description of an existing playground.
- Update Guard Configuration: Tool to update a DataRobot guard configuration. Use when you need to modify guard settings such as name, description, intervention rules, or LLM configurations.
- Update Image Augmentation Lists: Tool to update an existing image augmentation list in DataRobot. Use when you need to modify augmentation settings for image data preprocessing.
- Update Modeling Featurelist: Tool to update a modeling featurelist's name or description. Use when you need to modify an existing featurelist's metadata.
- Update Notebook: Tool to update a DataRobot notebook's name or description. Use when you need to modify notebook metadata.
- Update Notebook Cell Output: Tool to update the output of a specific cell in a DataRobot notebook. Use when you need to update cell output data with an MD5 validation hash.
- Update Notebook Execution Environment: Tool to update a notebook execution environment configuration. Use when you need to change environment settings, compute resources, or inactivity timeout for a notebook.
- Update Notebook Job: Tool to update an existing notebook job in DataRobot. Use when you need to modify the schedule, enable/disable a job, change the use case association, or update parameters for an existing scheduled notebook job.
- Update Notebook State: Tool to update notebook state and retrieve current cell information. Use when you need to refresh the notebook's execution state and get details about all cells. Note: This operation is not supported for Codespace-type notebooks.
- Update Notification Channel Template: Tool to update a notification channel template in DataRobot. Use when you need to modify an existing notification channel template's configuration, such as changing its name, language, or channel-specific settings.
- Update Notification Channel Template Shared Roles: Tool to update notification channel template shared roles in DataRobot. Use when you need to modify permissions for users, groups, or organizations on a notification channel template. Updates roles by adding, modifying, or removing access permissions. Ensure at least one OWNER remains after updates to avoid leaving the template without an owner.
- Update Notification Policy Template Shared Roles: Tool to update entity notification policy template shared roles in DataRobot. Use when you need to modify permissions for users, groups, or organizations on a notification policy template. Updates roles by adding, modifying, or removing access permissions. Ensure at least one OWNER remains after updates to avoid leaving the template without an owner.
- Update OTEL Metrics Config By ID: Tool to update an OpenTelemetry metric configuration for a specified entity. Use when you need to modify display name, aggregation method, or other settings of an existing OTEL metric.
- Update OpenTelemetry Metrics Configurations: Tool to set all OpenTelemetry metric configurations for a specified entity. Use when you need to configure which OTel metrics are collected and how they are aggregated for deployments, use cases, or other entities. This replaces all existing configurations.
- Update Overall Moderation Configuration: Tool to update overall moderation configuration for a custom model, custom model version, or playground. Use when you need to configure timeout behavior and NeMo Evaluator settings for guardrails.
- Update Payoff Matrix: Tool to update a payoff matrix for a DataRobot project. Use when you need to modify payoff values or the name of an existing payoff matrix for profit curve calculations.
- Update Pinned Use Cases: Tool to add or remove pinned use cases in DataRobot. Use when you need to pin or unpin use cases for quick access. Accepts 1-8 use case IDs and an operation type (add/remove).
- Update Project: Tool to update a DataRobot project's name, description, worker settings, or unlock holdout. Use when you need to modify project metadata or resource allocation after project creation.
- Update Project Access Control: Tool to update access control settings for a DataRobot project. Use when you need to grant, modify, or revoke user access to a project. Allows setting roles (OWNER, USER, OBSERVER) for multiple users at once. Note: The request must leave at least one OWNER for the project.
- Update Projects Models: Tool to update a model's attributes in a DataRobot project. Use when you need to star/unstar a model or change the prediction threshold for binary classification.
- Update Quotas: Tool to update quota configuration for a DataRobot deployment resource. Use when you need to modify capacity, rules, policies, or saturation threshold of an existing quota.
- Update Recipe Downsampling: Tool to update the downsampling configuration in a DataRobot recipe. Use when you need to modify downsampling settings for data transformation. Note: Cannot modify published recipes (status 422).
- Update Recipe Inputs: Tool to update the input data sources for a DataRobot recipe. Use when you need to change the data source, dataset, or sampling configuration for a recipe. This operation implicitly restarts the initial sampling job.
- Update Recipe Operations: Tool to update the operations in a DataRobot recipe. Use when modifying data transformation directives for wrangling recipes.
- Update Recipe Settings: Tool to update recipe settings that are reusable at the modeling stage. Use when modifying Spark instance size, target feature, prediction point, or Feature Discovery settings.
- Update Recommended Settings: Tool to update recommended settings for a DataRobot entity (currently only deployments). Use when you need to configure deployment settings checklist items.
- Update Registered Model: Tool to update a registered model in DataRobot. Use when you need to modify the name, description, or visibility settings of an existing registered model.
- Update Registered Model Shared Roles: Tool to modify registered model shared roles in DataRobot. Use when you need to update permissions for users, groups, or organizations on a registered model. Updates roles by adding, modifying, or removing access permissions. Ensure at least one OWNER remains after updates.
- Update Secure Config Shared Roles: Tool to share a secure configuration with users, groups, or organizations. Use when you need to update permissions for a secure configuration.
- Update Secure Configuration: Tool to update a secure configuration. Use when you need to modify the name, schema, or values of an existing secure configuration.
- Update Use Case: Tool to update an existing DataRobot use case's metadata. Use when you need to modify a use case's name or description.
- Update Use Case Shared Roles: Tool to update a use case's access control list. Use when you need to change who has access to a use case and their roles. Supports sharing with users (by username), groups (by name), or any entity (by ID).
- Update User Group: Tool to update a user group by its ID. Use when you need to modify group properties like name, description, email, access role, or permissions.
- Update User Notification: Tool to mark a DataRobot user notification as read. Use when you need to update the status of a notification by its unique identifier.
- Update User Notifications: Tool to mark all user notifications as read. Use when you need to mark all pending notifications for the authenticated user as read. This operation affects all unread notifications at once.
- Update Value Tracker: Tool to update a DataRobot value tracker. Use when you need to modify value tracker properties like name, stage, business impact, or monetary values.
- Update Value Tracker Shared Roles: Tool to update shared roles for a DataRobot value tracker. Use when you need to share a value tracker with users, groups, or organizations.
- Update Wrangling Recipe: Tool to update a DataRobot wrangling recipe. Use when modifying recipe name, description, type, or SQL query.
- Upload Batch Prediction CSV Part: Tool to upload CSV data in multiple parts for batch predictions. Use when you need to submit prediction input data for an existing batch prediction job in chunks.
- Upload CSV Data to Batch Job: Tool to stream CSV data to a DataRobot batch job. Use when you need to upload CSV data for batch predictions. The batch job must have been created with localFile intake settings before using this endpoint.
- Upload Custom Metric Values from Dataset: Tool to upload custom metric values from a dataset to a deployment. Use when you need to populate custom metrics with data from an existing dataset. The operation is asynchronous and returns a location URL to check the import status.
- Upload Custom Metrics from JSON: Tool to upload custom metric values from JSON for a DataRobot deployment. Use when you need to submit custom monitoring metrics (e.g., business KPIs, external performance measures) to track alongside model predictions. The operation is asynchronous - returns immediately with a location URL to poll for job status.
- Validate Cross-Series Properties: Tool to validate columns for potential use as the group-by column for cross-series functionality in a DataRobot project. Use when configuring multiseries or time series projects with cross-series features.
- Validate Deployment Model Replacement: Tool to validate whether a model can replace the current champion model in a deployment. Returns detailed validation checks for model compatibility. Use before replacing a deployment model to ensure compatibility.
- Validate User Blueprint: Tool to validate a user-defined blueprint (custom modeling pipeline) in DataRobot. Use when you need to verify that a blueprint structure is valid before training models with it. Returns validation context including any errors, warnings, or informational messages for each task vertex in the blueprint DAG.
- Validate User Blueprint Task Parameters: Tool to validate task parameters for custom tasks in DataRobot User Blueprints. Use when building custom blueprints to verify that parameter values are acceptable before saving. Returns validation errors for any invalid parameters, or an empty errors list if all are valid.
- Validate User Blueprints in Bulk: Tool to validate multiple user blueprints in bulk and check their configuration correctness. Use when you need to verify that custom blueprints are properly configured before running them in a project.
- Verify Email Channel Code: Verify the notification email channel verification code. Use when an admin needs to confirm their email address for notifications by entering a 6-digit verification code.
- Verify External Data Store SQL: Tool to verify a SQL query for an external data store. Use when you need to test SQL syntax and retrieve sample results. Returns column names and up to maxRows records if successful.
How to connect DataRobot
- Sign in to Definable AI and go to Apps
- Search for DataRobot and click Connect
- Authorize via OAuth2 — takes under 30 seconds
- Use DataRobot actions in your AI agents and workflows