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 21 more developer resources.

🌐 Visit website 📡 Source on GitHub

36.0/100 thin ▬ flat Agent 14/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-09-19 · rubric v0.22.0

AccessSelf serve

1 APIs 1 MCP Servers

Company Artificial Intelligence Machine-Learning MLOps Data Science Agentic AI Predictive Analytics Generative AI

Kin Score

Kin Score How this is scored →
scored 2026-09-19 · rubric v0.22.0

Composite quality — 36.0/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 12.9 / 20

Access Clarity 7.9 / 20

Operational Transparency 5.5 / 13

Contract Governance 2.2 / 12

Discoverability 7.6 / 10

Agent readiness — 14/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/datarobot: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

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 1

Model Context Protocol servers that expose these APIs to AI agents.

DataRobot MCP Server

MCP SERVER

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Datarobot Authentication

http/oauth2/openIdConnect · 3 schemes

SECURITY

Datarobot Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Datarobot Trust Center

trust center published

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Datarobot Scopes

3 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

MCPServer

MCPServer

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Lifecycle

Lifecycle

Conformance

Conformance

Build 4

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

Packages

SDKs

CLI

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Authentication

Authentication

OAuthScopes

OAuthScopes

TrustCenterArtifact

TrustCenterArtifact

DomainSecurity

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

Support

StatusPage

ChangeLog

Deprecation

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Other 1

Properties that don't map to a standard resource type

AICatalog

AICatalog

Source (apis.yml)

aid: datarobot
name: DataRobot
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/datarobot/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- norwest-venture-partners
- sapphire-ventures
- techstars
x-tier: profiled
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- MLOps
- Data Science
- Agentic AI
- Predictive Analytics
- Generative AI
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- MLOps
- Data Science
- Agentic AI
- Predictive Analytics
- Generative AI
image: https://www.datarobot.com/wp-content/uploads/2021/09/DataRobot-Logo.png
apis:
- name: DataRobot REST API v2
  description: DataRobot's public REST API (v2) for projects, modeling, predictions, deployments, MLOps monitoring, governance,
    and agentic workflows. Personal API keys are sent as bearer tokens against regional base URLs.
  humanURL: https://docs.datarobot.com/en/docs/api/reference/index.html
  baseURL: https://app.datarobot.com/api/v2
  version: v2.46
  properties:
  - type: Documentation
    url: https://docs.datarobot.com/en/docs/api/index.html
  - type: APIReference
    url: https://docs.datarobot.com/en/docs/api/reference/index.html
  - type: GettingStarted
    url: https://docs.datarobot.com/en/docs/api/dev-learning/api-quickstart.html
  - type: Authentication
    url: authentication/datarobot-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://datarobot.com
- type: DeveloperPortal
  url: https://docs.datarobot.com/
- type: Documentation
  url: https://docs.datarobot.com/en/docs/api/index.html
- type: APIReference
  url: https://docs.datarobot.com/en/docs/api/reference/index.html
- type: GettingStarted
  url: https://docs.datarobot.com/en/docs/api/dev-learning/api-quickstart.html
- type: Support
  url: https://community.datarobot.com
- type: GitHubOrganization
  url: https://github.com/datarobot
- type: Pricing
  url: https://www.datarobot.com/pricing/
- type: TermsOfService
  url: https://www.datarobot.com/terms-of-service/
- type: PrivacyPolicy
  url: https://www.datarobot.com/privacy/
- type: StatusPage
  url: https://status.datarobot.com
- type: TrustCenter
  url: https://trust.datarobot.com
- type: ChangeLog
  url: changelog/datarobot-changelog.yml
- type: Packages
  url: packages/datarobot-packages.yml
- type: SDKs
  url: packages/datarobot-packages.yml
- type: CLI
  url: cli/datarobot-cli.yml
- type: MCPServer
  url: mcp/datarobot-mcp.yml
- type: LLMsTxt
  url: llms/datarobot-llms.txt
- type: WellKnown
  url: well-known/datarobot-well-known.yml
- type: Authentication
  url: authentication/datarobot-authentication.yml
- type: OAuthScopes
  url: scopes/datarobot-scopes.yml
- type: Conventions
  url: conventions/datarobot-conventions.yml
- type: Lifecycle
  url: lifecycle/datarobot-lifecycle.yml
- type: Deprecation
  url: https://docs.datarobot.com/en/docs/api/reference/changelogs/index.html
- type: Conformance
  url: conformance/datarobot-conformance.yml
- type: TrustCenterArtifact
  url: security/datarobot-trust-center.yml
- type: DomainSecurity
  url: security/datarobot-domain-security.yml
- type: AICatalog
  url: ai-catalog/datarobot-ai-catalog.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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