# Bigml AI integration on Definable

> BigML is a comprehensive machine learning platform that simplifies the creation and deployment of predictive models through an intuitive web interface and a REST API.

## What this connects

BigML is a comprehensive machine learning platform that simplifies the creation and deployment of predictive models through an intuitive web interface and a REST API.

Vendor: https://bigml.com/

## Tools available

**45** tools available. First 12:

- `BIGML_CREATE_EXTERNAL_CONNECTOR` — Create External Connector — Tool to create a new external connector for data sources. Use after configuring external databases or search indices.
- `BIGML_CREATE_PROJECT` — Create Project — Tool to create a new project. Use when you need to group related BigML resources into a project.
- `BIGML_DELETE_PROJECT` — Delete Project — Tool to delete an existing project. Use when you need to permanently remove a project resource after confirming it is not in use by other resources.
- `BIGML_GET_CONFIGURATION` — Get Configuration — Retrieves complete details of a BigML configuration by its ID to get stored parameters. Configuration resources in BigML store parameters that can be reused across different resources. Use this action to inspect stored configuration parameters, verify configuration settings, check processing status, or retrieve metadata after creating a configuration.
- `BIGML_GET_EXTERNAL_CONNECTOR` — Get External Connector — Retrieves complete details of a BigML external connector by its ID. External connectors enable BigML to import data from external databases (PostgreSQL, MySQL, SQL Server) or search engines (Elasticsearch). Use this action to inspect connection parameters, verify connector configuration, check processing status, or retrieve metadata after creating an external connector.
- `BIGML_GET_PROJECT` — Get Project — Tool to retrieve details of a project by ID. Use when you need to inspect project metadata before analysis.
- `BIGML_GET_SOURCE` — Get Source — Retrieves complete details of a BigML source by its ID. Use this to get information about the raw data and its parsing configuration.
- `BIGML_LIST_ANOMALIES` — List Anomaly Detectors — Tool to list anomaly detector resources in your account. Use when you need to browse or paginate existing anomaly detectors with support for filtering, ordering, and pagination.
- `BIGML_LIST_ANOMALY_SCORES` — List Anomaly Scores — Tool to list anomaly score resources. Use when you need to browse or paginate existing anomaly scores for the authenticated user.
- `BIGML_LIST_ASSOCIATIONS` — List Associations — Tool to list association resources. Use when you need to browse or paginate existing associations for the authenticated user.
- `BIGML_LIST_ASSOCIATION_SETS` — List Association Sets — Tool to list association set resources in your account. Use when you need to browse or paginate existing association sets with support for filtering, ordering, and pagination.
- `BIGML_LIST_BATCH_ANOMALY_SCORES` — List Batch Anomaly Scores — Tool to list batch anomaly score resources. Use when you need to browse or paginate existing batch anomaly scores for the authenticated user.

## Auth

Auth schemes: `API_KEY`.

## How agents use Bigml

Inside a Definable workflow, Bigml is one of the tools the **Distributor specialist** can call. Example coordination patterns:

- **Researcher → Bigml** — the Researcher (GPT-5.5) pulls context from Bigml (records, threads, documents), synthesises findings, and briefs the rest of the team.
- **Writer → Distributor → Bigml** — the Writer (Claude Opus 4.7) drafts copy in brand voice, the Verifier passes it, then the Distributor writes the result into Bigml (create record, post message, draft email).
- **Designer / Engineer → Distributor → Bigml** — the Designer ships an asset or the Engineer ships a code change, the Distributor delivers it via Bigml (attach file, open PR comment, post status).

The Verifier checks every Bigml call. On rate limit, schema drift, or auth refresh it self-heals and retries — the workflow completes without manual intervention.

## Categories

- artificial intelligence — https://definable.ai/apps/category/artificial-intelligence/
- ai models — https://definable.ai/apps/category/ai-models/

## Related

- HTML page: https://definable.ai/apps/bigml/
- Same category (artificial intelligence): https://definable.ai/apps/category/artificial-intelligence/
- All integrations: https://definable.ai/apps/
- Workflow (multi-agent loop): https://definable.ai/workflow/
- Apps llms.txt index: https://definable.ai/llms-apps.txt