DataRobot
DataRobot is an enterprise AI platform for building, deploying, governing, and monitoring predictive and generative AI models and agentic workflows. It exposes a public REST API (v2), first-party Python and R clients, a `dr` command-line tool, and an MCP surface (Global MCP plus deployable standalone servers) that lets agentic coding environments call DataRobot tools and resources. Developers authenticate with personal API keys (bearer tokens) against regional endpoints (US/EU/JP), while OAuth 2.0 / OIDC via app.datarobot.com backs agent and integration auth. The platform covers AutoML, MLOps deployment and monitoring, model governance and compliance documentation, and code-first GenAI/agent development. Surfaced as a portfolio company of Norwest Venture Partners, Sapphire Ventures, and Techstars, and enriched by the API Evangelist pipeline.
DataRobot publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, MLOps, and Data Science.
DataRobot’s developer surface includes documentation, API reference, getting-started guide, support, pricing, changelog, CLI, and 20 more developer resources.
API Rating
APIs
DataRobot REST API v2
DataRobot's public REST API (v2) for projects, modeling, predictions, deployments, MLOps monitoring, governance, and agentic workflows. Personal API keys are sent as bearer toke...
MCP Servers
datarobot-mcp.yml
MCP SERVERResources
Get Started 2
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 3
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 4
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 4
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 1
The organization behind the API