Ooak Data

Ooak Data is an applied AI research lab building the data infrastructure for frontier AI. It turns real company data into reinforcement-learning environments where AI agents learn to work in the real world — sourcing multimodal enterprise data, anonymizing it into digital twins of tools like Slack, Gmail, Notion and Jira, and generating expert-calibrated, multi-step, multi-tool workflow tasks calibrated on the latest frontier models. It serves frontier AI labs, enterprise AI teams, and AI startups that need real-world evaluation infrastructure rather than synthetic benchmarks. Backed by Y Combinator (Summer 2026) and based in Paris, France. Ooak Data publishes research essays and an AI-friendly content surface (llms.txt + Markdown content negotiation) but does not currently expose a public API or developer platform.

Ooak Data is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Reinforcement Learning, and AI Agents.

Ooak Data’s developer surface includes engineering blog, support, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

11.4/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

0 APIs

CompanyArtificial IntelligenceMachine-LearningReinforcement LearningAI AgentsDatasetsEvaluationData Infrastructure

Kin Score

Kin Score How this is scored →
scored 2026-08-20 · rubric v0.12.0

Composite quality — 11.4/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 1.4 / 20

Access Clarity 4.2 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 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

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/ooak-data: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: ooak-data
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ooak-data.png
name: Ooak Data
description: Ooak Data is an applied AI research lab building the data infrastructure for frontier AI. It turns real company
  data into reinforcement-learning environments where AI agents learn to work in the real world — sourcing multimodal enterprise
  data, anonymizing it into digital twins of tools like Slack, Gmail, Notion and Jira, and generating expert-calibrated, multi-step,
  multi-tool workflow tasks calibrated on the latest frontier models. It serves frontier AI labs, enterprise AI teams, and
  AI startups that need real-world evaluation infrastructure rather than synthetic benchmarks. Backed by Y Combinator (Summer
  2026) and based in Paris, France. Ooak Data publishes research essays and an AI-friendly content surface (llms.txt + Markdown
  content negotiation) but does not currently expose a public API or developer platform.
url: https://raw.githubusercontent.com/api-evangelist/ooak-data/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Reinforcement Learning
- AI Agents
- Datasets
- Evaluation
- Data Infrastructure
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Reinforcement Learning
- AI Agents
- Datasets
- Evaluation
- Data Infrastructure
apis: []
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 2
  pass: local-v1
common:
- type: Website
  url: https://ooakdata.com
- type: Blog
  url: https://ooakdata.com/research
- type: Support
  url: https://ooakdata.com/contact
- type: TermsOfService
  url: https://ooakdata.com/terms
- type: PrivacyPolicy
  url: https://ooakdata.com/privacy
- type: LLMsTxt
  url: llms/ooak-data-llms.txt
- type: DomainSecurity
  url: security/ooak-data-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io