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, Artificial Intelligence, Machine-Learning, Training Data, and Datasets.

Adaption Labs’ developer surface includes documentation, API reference, getting-started guide, authentication, changelog, engineering blog, support, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub

34.2/100 thin ▬ flat Agent 21/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs

Company Artificial Intelligence Machine-Learning Training Data Datasets LLMAdaptive DataSDK

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 34.2/100 · thin

Contract Quality 3.0 / 23

Developer Ergonomics 10.2 / 18

Access Clarity 7.6 / 18

Operational Transparency 1.8 / 12

Contract Governance 2.0 / 11

Discoverability 6.8 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 21/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

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/adaption-labs: 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 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.

Open Collections 3

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

API Collection

OPEN COLLECTION

Adaption Adaptive Data Datasets API

OPEN COLLECTION

Adaption Adaptive Data Datasets Upload API

OPEN COLLECTION

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

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

X-MCPServerCandidate

X-MCPServerCandidate

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

ErrorCatalog

DataModel

Lifecycle

Conformance

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

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

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
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: true
  label: Hosted service · you call their endpoint
  confidence: high
  source:
  - openapi
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  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: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Training Data
- Datasets
- LLM
- Adaptive Data
- SDK
tags_raw:
- 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: Overlay
  url: overlays/adaption-labs-datasets-overlay.yaml
- 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/_original/adaption-labs-datasets-openapi.yml
- type: X-MCPServerCandidate
  url: mcp/adaption-labs-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- 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

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This provider

curl "https://apis.io/api/v1/providers/adaption-labs"

All providers

curl "https://apis.io/api/v1/providers?limit=25"

Every operation they expose

curl "https://apis.io/api/v1/providers/adaption-labs/operations?limit=25"

How their score was established

curl "https://apis.io/api/v1/providers/adaption-labs/evidence"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.