Connect Datadog to Definable AI

About Datadog

Datadog 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 Datadog

Use Definable AI's agent platform to trigger workflows from Datadog, process results with 50+ AI models, and sync data across 900+ connected apps.

Tools & Actions (43 available)

• Create Dashboard: Create a dashboard in Datadog. Dashboards provide customizable visualizations for monitoring your infrastructure, applications, and business metrics in a unified view.
• Create SLO: Create a Service Level Objective (SLO) in Datadog. SLOs help you define and track reliability targets for your services, enabling data-driven decisions about service quality and reliability investments.
• Create Synthetic API Test: Create a synthetic API test in Datadog. Creates a new synthetic API test that continuously monitors API endpoints from multiple locations worldwide. Useful for proactive monitoring of API uptime, performance, and functionality.
• Create Webhook: Create a webhook in Datadog. Webhooks enable you to receive notifications from Datadog monitors and alerts to external services and applications.
• Create downtime: Creates a new downtime in Datadog to suppress alerts during maintenance windows or planned outages. Useful for preventing false alarms during deployments or maintenance.
• Create event: Creates a new event in Datadog. Events are useful for tracking deployments, outages, configuration changes, and other important occurrences.
• Create monitor: Creates a new Datadog monitor to track metrics, logs, or other data sources with configurable alerting thresholds and notifications.
• Delete Dashboard: Delete a dashboard in Datadog. Permanently removes a dashboard from your organization. This action cannot be undone. Use with caution.
• Delete monitor: Deletes a Datadog monitor permanently. Use with caution as this action cannot be undone.
• Get Dashboard: Get a specific dashboard from Datadog. Retrieves detailed information about a dashboard including its widgets, layout, template variables, and metadata.
• Get Service Dependencies: Get service dependency mapping from Datadog APM. This action retrieves the dependency graph for a specific service, showing both upstream services (that call this service) and downstream services (that this service calls). It's essential for: - Understanding the blast radius of service failures - Identifying critical dependencies during incidents - Analyzing service communication patterns - Planning architectural changes - Monitoring service health in context The dependency information includes call rates, error rates, and latency metrics to help assess the health of service relationships.
• Get Synthetics Locations: Tool to retrieve all available public and private locations for Synthetic tests in Datadog. Use when you need a list of location identifiers for creating or managing synthetic tests.
• Get Trace by ID: Get detailed information about a specific trace by its ID. This action retrieves comprehensive details about a distributed trace, including all spans, timing information, errors, and metadata. It's essential for: - Deep diving into specific request flows during incidents - Understanding the complete journey of a problematic request - Analyzing performance bottlenecks in detail - Correlating errors across services - Debugging complex distributed system issues The trace ID is typically obtained from logs, error reports, or trace search results.
• Get host tags: Retrieves all tags associated with a specific host in Datadog. Useful for understanding host metadata and organizing infrastructure.
• Get monitor: Retrieves detailed information about a specific Datadog monitor, including its current state, configuration, and any active downtimes.
• Get usage summary: Retrieves usage summary information from Datadog including API calls, hosts, containers, and other billable usage metrics. Useful for cost monitoring and usage analysis.
• List API Keys: List API keys in Datadog. Retrieves all API keys in the organization for security auditing, access management, and key rotation planning. Helps maintain security posture by tracking key usage and ownership.
• List APM Services: List APM services from Datadog. Application Performance Monitoring (APM) provides deep visibility into your applications, helping you track performance, errors, and dependencies.
• List AWS Integration: List AWS integrations in Datadog. Retrieves all configured AWS account integrations, showing which AWS accounts are monitored by Datadog and their configuration settings. Useful for cloud infrastructure management and ensuring comprehensive monitoring coverage.
• List All Tags: List all tags from Datadog. Tags help organize and filter your infrastructure and applications. This action shows all tags in use across your organization.
• List Incidents: List incidents from Datadog. Incident Management helps you track, manage, and resolve incidents efficiently with comprehensive timeline and impact tracking.
• List Log Indexes: Tool to retrieve a list of all log indexes configured in Datadog. Use when you need to get the names and configurations of log indexes.
• List Roles: List roles from Datadog organization. Roles define sets of permissions that control what users can do within your Datadog organization.
• List SLOs: List Service Level Objectives (SLOs) from Datadog. Service Level Objectives help you track the reliability and performance of your services by setting measurable targets for key metrics.
• List Synthetics Tests: List Synthetics tests from Datadog. Synthetics monitoring allows you to proactively monitor your applications and APIs by simulating user interactions and API calls from various locations.
• List Users: List users from Datadog organization. User management allows you to see team members, their roles, and access levels within your Datadog organization.
• List Webhooks: List webhooks from Datadog. Webhooks allow you to send notifications to external services when monitors trigger, enabling integration with your workflows.
• List active metrics: Discover metric names by listing actively reporting metrics since a given timestamp. Use when you need to find what metrics exist before querying timeseries data with DATADOG_QUERY_METRICS.
• List dashboards: Lists all Datadog dashboards with basic information. Useful for dashboard management and getting an overview of available dashboards.
• List events: Lists events from Datadog within a specified time range. Events track important occurrences like deployments, outages, and configuration changes.
• List hosts: Lists all hosts in your Datadog infrastructure with detailed information including metrics, tags, and status. Useful for infrastructure monitoring and management.
• List monitors: Get all monitor details. This endpoint allows you to retrieve information about all monitors configured in your organization. You can filter by group states, name, tags, and use pagination to manage large result sets.
• List service checks: Lists service checks from Datadog. Service checks are status checks that track the health of your services and infrastructure components.
• Mute Monitor: Mute a monitor in Datadog. Temporarily silences alerts from a monitor, which is useful during maintenance windows, deployments, or when investigating known issues to prevent alert fatigue.
• Query metrics: Queries Datadog metrics and returns time series data. Useful for retrieving historical metric data, creating custom dashboards, or building reports.
• Search Spans Analytics: Search and analyze span data with aggregations in Datadog. This action uses the Datadog Spans Analytics API to perform advanced queries and aggregations on trace span data. It's essential for: - Analyzing error rates and latency patterns - Understanding service dependencies and bottlenecks - Root cause analysis during incidents - Performance monitoring and optimization The API supports complex queries with grouping, filtering, and various aggregation functions similar to log analytics.
• Search Traces: Search for traces in Datadog APM. This action allows you to search for distributed traces across your services. It's essential for: - Finding specific request flows during incident investigation - Analyzing performance bottlenecks across services - Understanding error propagation through your system - Correlating user requests with backend operations Traces provide the complete picture of a request as it travels through your distributed system, making them crucial for root cause analysis.
• Search logs: Searches Datadog logs with advanced filtering capabilities. IMPORTANT NOTES: - Sort parameter is NOT supported by the Datadog Logs API and will cause errors - Time parameters must be in milliseconds (13-digit UNIX timestamps) - Limit parameter is passed as string to the API - Log content is nested under 'content' field in API response Useful for troubleshooting, monitoring application behavior, and analyzing log patterns.
• Submit metrics: Submits custom metrics to Datadog. Useful for sending application-specific metrics, business KPIs, or custom performance indicators.
• Unmute Monitor: Unmute a monitor in Datadog. Re-enables alerts from a previously muted monitor, returning it to normal monitoring and alerting behavior. Use this after maintenance windows or issue resolution to resume monitoring.
• Update Dashboard: Update a dashboard in Datadog. Updates an existing dashboard with new configuration, widgets, or layout while preserving its identity and creation metadata.
• Update host tags: Updates tags for a specific host in Datadog. This replaces all existing tags from the specified source with the new tags provided.
• Update monitor: Updates an existing Datadog monitor with new configuration, thresholds, or notification settings. Only specified fields will be updated.

How to connect Datadog

1. Sign in to Definable AI and go to Apps
2. Search for Datadog and click Connect
3. Authorize via OAuth2 — takes under 30 seconds
4. Use Datadog actions in your AI agents and workflows