Human Archive

Human Archive is a Stanford- and Berkeley-founded, Y Combinator-funded data lab building foundational multimodal datasets for training AI and robotics systems to understand human movement and interaction. It collects and labels first-person video, RGB-D, audio, tactile, and motion-capture data from a network of 100,000+ contributors and 500+ industry partners, and provides dataset access to researchers and enterprise partners through a customer dashboard on request. The company is a B2B data infrastructure provider rather than a self-serve platform, and does not publish a public developer API, SDKs, or developer documentation at this time.

Human Archive is profiled on the APIs.io network. Tagged areas include Company, Data, Artificial Intelligence, Machine-Learning, and Datasets.

Human Archive’s developer surface includes support and 4 more developer resources.

🌐 Visit website 📡 Source on GitHub

10.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-20 · rubric v0.12.0

0 APIs

CompanyDataArtificial IntelligenceMachine-LearningDatasetsRoboticsMulti-ModalData Labeling

Kin Score

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

Composite quality — 10.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.0 / 20

Access Clarity 4.2 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.0 / 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/human-archive: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

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 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: human-archive
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/human-archive.png
name: Human Archive
description: Human Archive is a Stanford- and Berkeley-founded, Y Combinator-funded data lab building foundational multimodal
  datasets for training AI and robotics systems to understand human movement and interaction. It collects and labels first-person
  video, RGB-D, audio, tactile, and motion-capture data from a network of 100,000+ contributors and 500+ industry partners,
  and provides dataset access to researchers and enterprise partners through a customer dashboard on request. The company
  is a B2B data infrastructure provider rather than a self-serve platform, and does not publish a public developer API, SDKs,
  or developer documentation at this time.
url: https://raw.githubusercontent.com/api-evangelist/human-archive/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- wing-venture-capital
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Data
- Artificial Intelligence
- Machine-Learning
- Datasets
- Robotics
- Multi-Modal
- Data Labeling
tags_raw:
- Company
- Data
- Artificial Intelligence
- Machine Learning
- Datasets
- Robotics
- Multimodal
- Data Labeling
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/human-archive-domain-security.yml
- type: Website
  url: https://www.humanarchive.ai/
- type: TermsOfService
  url: https://www.humanarchive.ai/terms.html
- type: PrivacyPolicy
  url: https://www.humanarchive.ai/privacy.html
- type: Support
  url: https://www.humanarchive.ai/contact.html
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence