# Human Native

**Canonical:** https://apis.io/providers/humannative-ai/  
**Website:** https://humannative.ai/  
**APIs profiled:** 0

Human Native (Human Native Ltd.) is a London-based AI training-data marketplace founded in 2024 by James Smith and Jack Galilee. It connects rights holders and creators with AI developers, turning unstructured text, audio, video and other media into licensed, AI-ready datasets under revenue-share, subscription or per-use terms. Cloudflare announced its acquisition of Human Native in January 2026. The company website humannative.ai answered our browser-UA probe with an HTTP 403 bot challenge, so no developer portal, documentation or API was verified.

## Kin Score — 3.4 / 100 (minimal)

Scored 2026-10-31 under rubric 0.25.0.

| Facet | Score |
|---|---|
| Discoverability | 48.2 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 0.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 5.5 (matched via fallback).

## 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 |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |
| Pagination Ratio | na |
| Operation Distinctiveness | na |

## Security (1)

- **Humannative Ai Domain Security** — TLSv1.3 · DMARC

## Tags

Company, Artificial Intelligence, Training Data, Data Licensing, Marketplace, Content Licensing, Cloudflare

---

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