Adaption Labs

Adaption Labs is a San Francisco AI research company, founded in 2025 by Sara Hooker and Sudip Roy (both formerly of Cohere), building adaptive AI systems that continuously learn from real-world interaction instead of scaling through ever-larger pretraining runs. Its Adaptive Data platform and the REST Adaption API let teams ingest, adapt, evaluate, and export model-ready training data, while AutoScientist automates the research loop behind model training and alignment. The Adaption API is available through a web app and an official Python SDK (pip install adaption). Backed by a $50M seed round led by Emergence Capital, with Threshold Ventures, Mozilla Ventures, Fifty Years, and others.

Adaption Labs publishes 2 APIs on the APIs.io network: Datasets API and Upload API. Tagged areas include Company, AI, Machine Learning, Training Data, and Datasets.

Adaption Labs’ developer surface includes documentation, API reference, getting-started guide, authentication, changelog, engineering blog, support, and 18 more developer resources.

🌐 Visit website 📡 Source on GitHub
46.5/100 developing ▬ flat Agent 65/100 agent native Full breakdown ↓
scored 2026-07-23 · rubric v0.5
AccessSelf serve
2 APIs 1 MCP Servers
CompanyAIMachine LearningTraining DataDatasetsLLMAdaptive DataSDK

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-23 · rubric v0.5
Composite quality — 46.5/100 · developing
Contract Quality 13.7 / 25
Developer Ergonomics 13.0 / 20
Commercial Clarity 8.4 / 20
Operational Transparency 2.1 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 65/100 · agent native
Machine-Readable Contract 18 / 18
Agentic Access Contract 15 / 15
MCP Server 12 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 5 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
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/adaption-labs: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 2

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

Adaption Labs Datasets API

Create, ingest, adapt, evaluate, and export datasets.

Adaption Labs Upload API

Presigned file-upload lifecycle for local-file ingestion.

MCP Servers 1

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

adaption-labs-mcp.yml

MCP SERVER

Security Posture 2

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

Adaption Labs Authentication

1 scheme

SECURITY

Adaption Labs Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Adaption Labs Agentic Access

11 operations · 6 acting

11 operations · 6 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted
GettingStarted
 SignUp
SignUp

Documentation 3

Reference material describing how the API behaves

Documentation
Documentation
 APIReference
APIReference
 OpenAPI
OpenAPI

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess
 MCPServer
MCPServer
 AgentSkill
AgentSkill
 LLMsTxt
LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

ErrorCatalog
ErrorCatalog
 DataModel
DataModel
 Lifecycle
Lifecycle
 Conformance
Conformance
 Conventions
Conventions

Build 2

SDKs, sample code, and the tooling you integrate with

Packages
Packages
 SDKs
SDKs

Access & Security 3

Authentication, authorization, and security posture

Authentication
Authentication
 Compliance
Compliance
 DomainSecurity
DomainSecurity

Operate 2

Status, limits, changes, and where to get help

ChangeLog
ChangeLog
 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)

apis.yml Raw ↑ 
aid: adaption-labs
name: Adaption Labs
description: Adaption Labs is a San Francisco AI research company, founded in 2025 by Sara Hooker and Sudip Roy (both formerly
  of Cohere), building adaptive AI systems that continuously learn from real-world interaction instead of scaling through
  ever-larger pretraining runs. Its Adaptive Data platform and the REST Adaption API let teams ingest, adapt, evaluate, and
  export model-ready training data, while AutoScientist automates the research loop behind model training and alignment. The
  Adaption API is available through a web app and an official Python SDK (pip install adaption). Backed by a $50M seed round
  led by Emergence Capital, with Threshold Ventures, Mozilla Ventures, Fifty Years, and others.
url: https://raw.githubusercontent.com/api-evangelist/adaption-labs/refs/heads/main/apis.yml
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
image: https://adaptionlabs.ai/opengraph-image.jpg
x-type: company
x-source: vc-portfolio
x-backed-by:
- threshold-ventures
x-tier: enriched
x-tier-reason: has-public-api-and-sdk
x-enriched: '2026-07-17'
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- AI
- Machine Learning
- Training Data
- Datasets
- LLM
- Adaptive Data
- SDK
apis:
- aid: adaption-labs:adaption-labs-datasets-api
  name: Adaption Labs Datasets API
  description: Create, ingest, adapt, evaluate, and export datasets.
  humanURL: https://docs.adaptionlabs.ai/
  baseURL: https://api.prod.adaptionlabs.ai
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/adaption-labs-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptionlabs.ai/
  - type: APIReference
    url: https://docs.adaptionlabs.ai/api
  - type: GettingStarted
    url: https://docs.adaptionlabs.ai/introduction/getting-started/index.md
  - type: Authentication
    url: authentication/adaption-labs-authentication.yml
  - type: SDKs
    url: packages/adaption-labs-packages.yml
  - type: Conventions
    url: conventions/adaption-labs-conventions.yml
  - type: ErrorCatalog
    url: errors/adaption-labs-problem-types.yml
  - type: DataModel
    url: data-model/adaption-labs-data-model.yml
- aid: adaption-labs:adaption-labs-upload-api
  name: Adaption Labs Upload API
  description: Presigned file-upload lifecycle for local-file ingestion.
  humanURL: https://docs.adaptionlabs.ai/
  baseURL: https://api.prod.adaptionlabs.ai
  tags:
  - Upload
  properties:
  - type: OpenAPI
    url: openapi/adaption-labs-upload-api-openapi.yml
  - type: Documentation
    url: https://docs.adaptionlabs.ai/
  - type: APIReference
    url: https://docs.adaptionlabs.ai/api
  - type: GettingStarted
    url: https://docs.adaptionlabs.ai/introduction/getting-started/index.md
  - type: Authentication
    url: authentication/adaption-labs-authentication.yml
  - type: SDKs
    url: packages/adaption-labs-packages.yml
  - type: Conventions
    url: conventions/adaption-labs-conventions.yml
  - type: ErrorCatalog
    url: errors/adaption-labs-problem-types.yml
  - type: DataModel
    url: data-model/adaption-labs-data-model.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.adaptionlabs.ai/
- type: Documentation
  url: https://docs.adaptionlabs.ai/
- type: APIReference
  url: https://docs.adaptionlabs.ai/api
- type: GettingStarted
  url: https://docs.adaptionlabs.ai/introduction/getting-started/index.md
- type: Authentication
  url: authentication/adaption-labs-authentication.yml
- type: AgenticAccess
  url: agentic-access/adaption-labs-agentic-access.yml
- type: OpenAPI
  url: openapi/adaption-labs-datasets-openapi.yml
- type: MCPServer
  url: mcp/adaption-labs-mcp.yml
- type: ErrorCatalog
  url: errors/adaption-labs-problem-types.yml
- type: DataModel
  url: data-model/adaption-labs-data-model.yml
- type: Lifecycle
  url: lifecycle/adaption-labs-lifecycle.yml
- type: Conformance
  url: conformance/adaption-labs-conformance.yml
- type: Compliance
  url: https://adaptionlabs.ai/enterprise
- type: Packages
  url: packages/adaption-labs-packages.yml
- type: SDKs
  url: packages/adaption-labs-packages.yml
- type: Conventions
  url: conventions/adaption-labs-conventions.yml
- type: ChangeLog
  url: changelog/adaption-labs-changelog.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LLMsTxt
  url: llms/adaption-labs-llms.txt
- type: Blog
  url: https://adaptionlabs.ai/blog
- type: Support
  url: https://discord.gg/sHhG8kwVav
- type: SignUp
  url: https://adaptionlabs.ai/app/auth
- type: TermsOfService
  url: https://adaptionlabs.ai/terms-of-service
- type: PrivacyPolicy
  url: https://adaptionlabs.ai/privacy-policy
- type: DomainSecurity
  url: security/adaption-labs-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence