Human For AI

Human For AI provides a human endpoint for AI agents, offering verified humans for tasks such as verification, testing, judgment, research and real‑world assistance. Developers can hire a human via a simple REST API to get reliable human input during the agent era. The service is free during the pilot and requires no authentication, aiming to bridge the gap between autonomous AI systems and trustworthy human expertise.

Human For AI publishes 2 API contracts indexed on the APIs.io network, including API API, and 1 more. Tagged areas include Company, Artificial Intelligence, Human-in-the-Loop, Verification, and Services.

The Human For AI catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Human For AI’s developer surface includes API reference, documentation, pricing, and 21 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

36.1/100 thin Agent 27/100 agent aware Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessFreeOpen⚡ Free to try

1 published contract 1 MCP Servers

Company Artificial Intelligence Human-in-the-Loop Verification Services

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 36.1/100 · thin

Contract Quality 10.8 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 8.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 6.4 / 9

Regulatory Posture 2.5 / 15

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document Ask about this →
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented) Ask about this →

6 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Developer Ergonomics scores 16.7 — up to +16.7 composite points Ask about this →
Operational Transparency scores 0.0 — up to +13.0 composite points Ask about this →
Contract Quality scores 50.7 — up to +12.3 composite points Ask about this →

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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 the provider profile at artifacts.apis.io/humanforai-dev/apis.yml: open an issue on github.com/api-evangelist/humanforai-dev to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 4

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Agent2Agent

measured — observed by APIs.io (flavored)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

APIs 2

Individual APIs this provider publishes, each with its own machine-readable definition.

Human For AI API

Human For AI API provides endpoints to submit tasks requiring human involvement.

Human For AI API API

A human endpoint for AI agents. Submit tasks that need physical presence, human perception, or human judgment — real-world verification, product testing, AI output review, data ...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Human For AI MCP Server

Remote MCP server at humanforai.dev.

MCP SERVER

Human For AI API pricing

Prices published by Human For AI.

Plan	Price
Pilot (the only tier)	$0 per task

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Human For AI Plans Pricing

1 plans

PLANS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Humanforai Dev Context

13 classes · 60 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

Human For AI API Rules

44 rules · 39 error-severity 4 warn-severity 1 info-severity

SPECTRAL

JSON Schema 6

Standalone JSON Schema definitions for this provider's data models.

AgentManifest

19 properties

JSON SCHEMA

MessageRequest

4 properties

JSON SCHEMA

MessageResponse

5 properties

JSON SCHEMA

MessageThread

12 properties

JSON SCHEMA

TaskRequest

10 properties

JSON SCHEMA

Task

18 properties

JSON SCHEMA

Security Posture 1

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

Human For AI Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

WellKnown

WellKnown

Design & Contract 8

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

Conformance

DataModel

Idempotency

Conventions

ErrorCatalog

Scroll for all 8

Access & Security 2

Authentication, authorization, and security posture

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Contact

Contact

Commercial 4

Pricing, plans, and the legal terms of use

Plans

TermsOfService

PrivacyPolicy

Pricing

Company 1

The organization behind the API

Website

Website

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: humanforai-dev
name: Human For AI
accessModel:
  pricing: free
  onboarding: open
  trial: false
  try_now: true
  public: true
  gated: none
  gated_source:
  - onboarding
  label: Free · Open access
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-13'
  method: derived
image: https://humanforai.dev/logo-400.png
description: Human For AI provides a human endpoint for AI agents, offering verified humans for tasks such as verification,
  testing, judgment, research and real‑world assistance. Developers can hire a human via a simple REST API to get reliable
  human input during the agent era. The service is free during the pilot and requires no authentication, aiming to bridge
  the gap between autonomous AI systems and trustworthy human expertise.
url: https://artifacts.apis.io/humanforai-dev/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-11 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-11'
modified: '2026-11-11'
tags:
- Company
- Artificial Intelligence
- Human-in-the-Loop
- Verification
- Services
tags_raw:
- Company
- AI
- Human-in-the-loop
- Verification
- Services
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/humanforai-dev-rules.yml
- type: JSONLD
  url: json-ld/humanforai-dev-context.jsonld
- type: Vocabulary
  url: vocabulary/humanforai-dev-vocabulary.yml
- type: Conformance
  url: conformance/humanforai-dev-conformance.yml
- type: Plans
  url: plans/humanforai-dev-plans-pricing.yml
- type: DataModel
  url: data-model/humanforai-dev-data-model.yml
- type: Idempotency
  url: conventions/humanforai-dev-conventions.yml
- type: Conventions
  url: conventions/humanforai-dev-conventions.yml
- type: ErrorCatalog
  url: errors/humanforai-dev-problem-types.yml
- type: LLMsTxt
  url: llms/humanforai-dev-llms.txt
- type: AgentCard
  url: a2a/humanforai-dev-a2a.yml
- type: MCPServer
  url: mcp/humanforai-dev-mcp.yml
- type: WellKnown
  url: well-known/humanforai-dev-well-known.yml
- type: Hosts
  url: hosts/humanforai-dev-hosts.yml
- type: Vendors
  url: vendors/humanforai-dev-vendors.yml
- type: TrustCenter
  url: https://humanforai.dev/trust
- type: TermsOfService
  url: https://humanforai.dev/terms
- type: PrivacyPolicy
  url: https://humanforai.dev/privacy
- type: APIReference
  url: https://humanforai.dev/developers
- type: DomainSecurity
  url: security/humanforai-dev-domain-security.yml
- type: Website
  url: https://humanforai.dev/
- type: Documentation
  url: https://humanforai.dev/api
- type: Pricing
  url: https://humanforai.dev/pricing
- type: Contact
  url: https://humanforai.dev/contact
apis:
- name: Human For AI API
  description: Human For AI API provides endpoints to submit tasks requiring human involvement.
  humanURL: https://humanforai.dev/developers
  baseURL: https://humanforai.dev
  aid: humanforai-dev:human-for-ai-api
- aid: humanforai-dev:human-for-ai-api-api
  name: Human For AI API API
  description: A human endpoint for AI agents. Submit tasks that need physical presence, human perception, or human judgment
    — real-world verification, product testing, AI output review, data collection, local physical-world errands — and a verified
    human operator performs them. All services are FREE during the pr
  humanURL: https://humanforai.dev/developers
  baseURL: https://humanforai.dev
  properties:
  - type: OpenAPI
    url: openapi/_original/humanforai-dev-api-openapi.json
  - type: JSONSchema
    url: json-schema/humanforai-dev-task-schema.json
  - type: JSONSchema
    url: json-schema/humanforai-dev-task-request-schema.json
  - type: JSONSchema
    url: json-schema/humanforai-dev-agent-manifest-schema.json
  - type: JSONSchema
    url: json-schema/humanforai-dev-message-thread-schema.json
  - type: JSONSchema
    url: json-schema/humanforai-dev-message-request-schema.json
  - type: JSONSchema
    url: json-schema/humanforai-dev-message-response-schema.json
x-enrichment:
  date: '2026-11-11'
  status: enriched
  artifacts_added: 23
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

Human For AI API — frequently asked questions

Does Human For AI have an API?

Yes. APIs.io lists 2 APIs from Human For AI, including Human For AI API and Human For AI API API.

Is there an OpenAPI specification for the Human For AI API?

Yes. APIs.io indexes 1 OpenAPI specification for Human For AI, each linked for download from this page.

How much does the Human For AI API cost?

Human For AI publishes its prices; its Pilot (the only tier) plan is $0 per task as of 2026-11-12. APIs.io lists 1 pricing plan for Human For AI, with each plan's price, limits and inclusions under Pricing on this page.

Does Human For AI have an MCP server?

Yes. APIs.io lists 1 MCP server for Human For AI: Remote MCP server at humanforai.dev.

Is the Human For AI API ready for AI agents?

Human For AI has a Kin Score of 36.1 out of 100 (thin) and an Agent Readiness score of 26.5 (agent-aware), scored by API Evangelist on 2026-11-13.

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