# Hub

**Canonical:** https://apis.io/providers/hub/  
**Website:** https://hub.xyz  
**APIs profiled:** 1

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.

## Kin Score — 10.2 / 100 (minimal)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 10.2).

| Facet | Score |
|---|---|
| Discoverability | 75.9 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 10.5 |
| Access Clarity | 10.5 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (1)

- **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 (1)

- **Hub Domain Security** — TLSv1.3 · DMARC

## Tags

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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/hub/). Scores are computed from the provider's own public artifacts under a published rubric.