# HumanFn

**Canonical:** https://apis.io/providers/humanfn-com/  
**Website:** https://humanfn.com/  
**APIs profiled:** 0

HumanFn provides callable professional services and real‑world tasks for AI agents. It offers fixed‑price attorney reviews of SaaS Terms of Service and Privacy Policies, as well as on‑site physical tasks like inspections and photo documentation in the United States. The platform enables AI assistants to offload tasks that require human expertise or presence, ensuring compliance and quality while maintaining a seamless workflow for developers.

## Kin Score — 11.0 / 100 (emerging)

Scored 2026-11-13 under rubric 0.28.0.

| Facet | Score |
|---|---|
| Discoverability | 58.9 |
| Contract Quality | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 9.5 |
| Developer Ergonomics | 0.0 |
| Access Clarity | 17.0 |

Regulatory layer — **Horizontal (data, software, accessibility, platform)**: 18.2 (matched via fallback).

## Agent readiness — 3.1 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | documented |
| 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 |
| MCP Tool Quality | na |

## Access

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

## Security (2)

- **HumanFn Domain Security** — TLSv1.3 · DMARC
- **HumanFn Vulnerability Disclosure** — security.txt · contact published

## Tags

Artificial Intelligence, Services, Legal, OnSite, Automation, Platform

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