Hub

Hub (Hub.xyz) is a distributed physical-AI data infrastructure company that creates, annotates, and curates custom real-world datasets — egocentric first-person video, image, video, and audio — used to train AI and robotics models. Data is sourced through a global network of 500,000+ retail contributors and verified small and medium businesses across 150+ countries and 100+ languages. Hub offers both off-the-shelf labeled datasets and bespoke, custom-scoped data collection projects quoted within hours, delivered through a fully managed pipeline that couples automation with human-in-the-loop validation for frontier AI labs and Fortune 500 companies.

Hub publishes 1 API on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Training Data, and Robotics.

Hub’s developer surface includes engineering blog, signup flow, and 4 more developer resources.

🌐 Visit website 📡 Source on GitHub

10.2/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

1 APIs

Company Artificial Intelligence Machine-Learning Training Data Robotics Physical AI Datasets Data Infrastructure Annotation Multi-Modal

Kin Score

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

Composite quality — 10.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.5 / 20

Access Clarity 2.1 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 7.6 / 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

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 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/hub: 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.

Hub Datasets API

Hub's API surface for accessing real-world, multimodal training datasets (egocentric, image, video, and audio) and requesting bespoke data collection projects. The public develo...

Security Posture 1

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

Hub Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

SignUp

SignUp

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: hub
name: Hub
description: Hub (Hub.xyz) is a distributed physical-AI data infrastructure company that creates, annotates, and curates custom
  real-world datasets — egocentric first-person video, image, video, and audio — used to train AI and robotics models. Data
  is sourced through a global network of 500,000+ retail contributors and verified small and medium businesses across 150+
  countries and 100+ languages. Hub offers both off-the-shelf labeled datasets and bespoke, custom-scoped data collection
  projects quoted within hours, delivered through a fully managed pipeline that couples automation with human-in-the-loop
  validation for frontier AI labs and Fortune 500 companies.
url: https://raw.githubusercontent.com/api-evangelist/hub/refs/heads/main/apis.yml
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: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://hub.xyz/landing-v2/og-image.png
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: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Training Data
- Robotics
- Physical AI
- Datasets
- Data Infrastructure
- Annotation
- Multi-Modal
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Training Data
- Robotics
- Physical AI
- Datasets
- Data Infrastructure
- Annotation
- Multimodal
apis:
- name: Hub Datasets API
  description: Hub's API surface for accessing real-world, multimodal training datasets (egocentric, image, video, and audio)
    and requesting bespoke data collection projects. The public developer surface is minimal; API access is arranged through
    Hub directly.
  humanURL: https://hub.xyz
  baseURL: https://api.hub.xyz
  properties: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/hub-domain-security.yml
- type: Website
  url: https://hub.xyz
- type: Blog
  url: https://medium.hub.xyz
- type: PrivacyPolicy
  url: https://hub.xyz/privacypolicy
- type: SignUp
  url: https://ai.hub.xyz
- type: LLMsTxt
  url: llms/hub-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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