
Connectors / AI · HTTP Connector
Automate DataRobot with Tray.ai
Call the DataRobot API from any Tray.ai workflow with the HTTP Connector.
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What can you do with DataRobot on Tray.ai?
DataRobot is an AI platform for building, deploying, and monitoring machine learning models and generative AI applications, with automated modeling and governance tools. Tray.ai connects to DataRobot through the HTTP Connector, so your workflows can call the DataRobot API alongside the rest of your stack.
- Connects through
- HTTP Connector
- Authentication
- A bearer token
- Base URL
- https://app.datarobot.com/api/v2
What the DataRobot API covers
4 resources and 15 documented actions, each one a call the HTTP Connector can make from a Tray.ai workflow.
Projects
- List projects
- Create a project
- Update a project
- Delete a project
Datasets
- List datasets
- Create a dataset from a file
- Create a dataset from a URL
- Delete a dataset
Batch predictions
- List batch prediction jobs
- Launch a batch prediction job
- Cancel a batch prediction job
- Download scored data
Use cases
- List use cases
- Update a use case
- Delete a use case
Checked against DataRobot's own documentation on 2026-10-22
How Tray.ai makes this work
DataRobot plugs into the whole Tray.ai platform
Intelligent Integration
Integrate and automate across 700+ connectors with visual workflows, error handling, and observability.
Learn more →Agent Builder
Build AI agents that read, write, and take action in DataRobot — with guardrails, audit, and human-in-the-loop.
Learn more →Agent Gateway for MCP
Expose DataRobot actions as governed MCP tools — observable, rate-limited, authenticated.
Learn more →More ai apps on Tray.ai
Dedicated connectors and other apps Tray.ai reaches in the same category. See every ai connector →
Frequently asked questions
What can a Tray.ai workflow do in DataRobot?
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The DataRobot API documents 15 actions across 4 resources (Projects, Datasets, Batch predictions, Use cases). For example: List projects; List datasets; List batch prediction jobs. A workflow can make any documented call through the HTTP Connector.
How does Tray.ai authenticate with DataRobot?
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The DataRobot API uses a bearer token. You save it once as a Tray.ai authentication, and the HTTP Connector adds it to every request.
See DataRobot working against your stack.
We'll walk through a tailored demo with your systems plugged in.
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