DataRobot
Enterprise AI platform for building, deploying and monitoring models and agents, with a REST API for projects and deployments.
- Category
- Cloud & Data Platforms
- Type
- MLOps
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
02Data
What you can sync.
- Projects
- Models
- Deployments
- Predictions
- Service stats
Put DataRobot projects next to revenue and usage, so every cost has an owner and a reason.
Need more? Name any other DataRobot data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
DataRobot uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in DataRobot if you need help.
04How it works
How it works in DataMind.
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Pick DataRobot.
Open Lake, pick DataRobot in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the DataRobot API docs.
-
Answer a few questions.
The AI reads the DataRobot documentation, then asks which credentials you will use, which data to sync (for example projects and models), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then DataRobot data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
