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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

docs.datarobot.com/en/docs/api/reference/public-api/index…

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.

Great — a couple more details

This helps us connect you with the right person. Optional, and you can skip it.