meatspace-run

MeatSpace provides a human-in-the-loop API for AI agents, enabling subjective or ambiguous decisions to be routed to human reviewers. It offers REST, MCP, and a browser SDK, with instant API keys via POST /api/keys. Use cases include judgment, taste, approval, and tie‑breaks, while avoiding deterministic low‑stakes checks.

meatspace-run publishes 6 API contracts indexed on the APIs.io network, including Keys API, MCP API, Requests API, and 3 more. Tagged areas include Company, AI, Human-in-the-loop, API, and Automation.

The meatspace-run catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

meatspace-run’s developer surface includes authentication, documentation, API reference, getting-started guide, and 17 more developer resources.

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35.5/100 thin Agent 25/100 agent aware Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →

1 published contract 1 MCP Servers 1 Agent Skills

CompanyAIHuman-in-the-loopAPIAutomation

Kin Score

Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0

Composite quality — 35.5/100 · thin

Contract Quality 12.0 / 21

Developer Ergonomics 8.4 / 17

Access Clarity 1.8 / 17

Operational Transparency 0.0 / 11

Contract Governance 2.2 / 10

Discoverability 5.2 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 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 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

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):

Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link
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)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks

6 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 10.5 — up to +17.9 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points
Contract Quality scores 56.6 — up to +10.9 composite points

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.

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/meatspace-run/apis.yml: open an issue on github.com/api-evangelist/meatspace-run 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 →

APIs 6

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

MeatSpace API

Flesh-in-the-loop service API allowing AI agents to submit content and receive human decisions.

meatspace-run Keys API

The Keys API from meatspace-run — 1 operation(s) for keys.

meatspace-run MCP API

The Mcp API from meatspace-run — 1 operation(s) for mcp.

meatspace-run Requests API

The Requests API from meatspace-run — 3 operation(s) for requests.

meatspace-run Review API

The Review API from meatspace-run — 1 operation(s) for review.

meatspace-run Status API

The Status API from meatspace-run — 1 operation(s) for status.

MCP Servers 1

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

meatspace-run MCP Server

Remote MCP server at meatspace.run.

MCP SERVER

Agent Skills 1

Packaged agent skills for driving this provider's APIs from an AI assistant.

meatspace-run-create-human-decision

AGENT SKILL

Semantic Vocabularies 1

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

Meatspace Run Context

6 classes · 27 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

meatspace-run API Rules

13 rules · 11 errors 1 warnings 1 info

SPECTRAL

Security Posture 2

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

Meatspace Run Authentication

apiKey/http · 2 schemes

SECURITY

Meatspace Run Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Meatspace Run Agentic Access

10 operations · 4 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgentSkill

LLMsTxt

MCPServer

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

ErrorCatalog

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

SDKs

SDKs

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Commercial 1

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

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: meatspace-run
name: meatspace-run
description: MeatSpace provides a human-in-the-loop API for AI agents, enabling subjective or ambiguous decisions to be routed
  to human reviewers. It offers REST, MCP, and a browser SDK, with instant API keys via POST /api/keys. Use cases include
  judgment, taste, approval, and tie‑breaks, while avoiding deterministic low‑stakes checks.
url: https://artifacts.apis.io/meatspace-run/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-31 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Human-in-the-loop
- API
- Automation
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/meatspace-run-agentic-access.yml
- type: Spectral
  url: rules/meatspace-run-rules.yml
- type: JSONLD
  url: json-ld/meatspace-run-context.jsonld
- type: Vocabulary
  url: vocabulary/meatspace-run-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/meatspace-run-data-model.yml
- type: ErrorCatalog
  url: errors/meatspace-run-problem-types.yml
- type: Conformance
  url: conformance/meatspace-run-conformance.yml
- type: LLMsTxt
  url: llms/meatspace-run-llms.txt
- type: AgentCard
  url: a2a/meatspace-run-a2a.yml
- type: MCPServer
  url: mcp/meatspace-run-mcp.yml
- type: Hosts
  url: hosts/meatspace-run-hosts.yml
- type: Vendors
  url: vendors/meatspace-run-vendors.yml
- type: SDKs
  url: https://meatspace.run/sdk/meatspace.js
- type: Authentication
  url: authentication/meatspace-run-authentication.yml
- type: DomainSecurity
  url: security/meatspace-run-domain-security.yml
- type: Website
  url: https://meatspace.run/
- type: Documentation
  url: https://meatspace.run/docs
- type: APIReference
  url: https://meatspace.run/api/openapi
- type: GettingStarted
  url: https://meatspace.run/docs
- type: TermsOfService
  url: https://meatspace.run/terms
apis:
- name: MeatSpace API
  description: Flesh-in-the-loop service API allowing AI agents to submit content and receive human decisions.
  humanURL: https://meatspace.run/docs
  baseURL: https://meatspace.run/api
  aid: meatspace-run:meatspace-api
- aid: meatspace-run:meatspace-run-keys-api
  name: meatspace-run Keys API
  description: The Keys API from meatspace-run — 1 operation(s) for keys.
  humanURL: https://meatspace.run/docs
  baseURL: https://meatspace.run
  tags:
  - Keys
  properties:
  - type: OpenAPI
    url: openapi/meatspace-run-keys-api-openapi.yml
- aid: meatspace-run:meatspace-run-mcp-api
  name: meatspace-run MCP API
  description: The Mcp API from meatspace-run — 1 operation(s) for mcp.
  humanURL: https://meatspace.run/docs
  baseURL: https://meatspace.run
  tags:
  - Mcp
  properties:
  - type: OpenAPI
    url: openapi/meatspace-run-mcp-api-openapi.yml
- aid: meatspace-run:meatspace-run-requests-api
  name: meatspace-run Requests API
  description: The Requests API from meatspace-run — 3 operation(s) for requests.
  humanURL: https://meatspace.run/docs
  baseURL: https://meatspace.run
  tags:
  - Requests
  properties:
  - type: OpenAPI
    url: openapi/meatspace-run-requests-api-openapi.yml
- aid: meatspace-run:meatspace-run-review-api
  name: meatspace-run Review API
  description: The Review API from meatspace-run — 1 operation(s) for review.
  humanURL: https://meatspace.run/docs
  baseURL: https://meatspace.run
  tags:
  - Review
  properties:
  - type: OpenAPI
    url: openapi/meatspace-run-review-api-openapi.yml
- aid: meatspace-run:meatspace-run-status-api
  name: meatspace-run Status API
  description: The Status API from meatspace-run — 1 operation(s) for status.
  humanURL: https://meatspace.run/docs
  baseURL: https://meatspace.run
  tags:
  - Status
  properties:
  - type: OpenAPI
    url: openapi/meatspace-run-status-api-openapi.yml
x-enrichment:
  date: '2026-10-31'
  status: enriched
  artifacts_added: 23
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

meatspace-run API — frequently asked questions

Does meatspace-run have an API?

Yes. APIs.io lists 6 APIs from meatspace-run, including MeatSpace API, meatspace-run Keys API and meatspace-run MCP API, and 3 more.

Is there an OpenAPI specification for the meatspace-run API?

Yes. APIs.io indexes 5 OpenAPI specifications for meatspace-run, each linked for download from this page.

How do I authenticate with the meatspace-run API?

meatspace-run uses bearer-token authentication (apiKey/http · 2 schemes). The details are profiled on APIs.io as Meatspace Run Authentication.

Does meatspace-run have an MCP server?

Yes. APIs.io lists 1 MCP server for meatspace-run: Remote MCP server at meatspace.run.

Is the meatspace-run API ready for AI agents?

meatspace-run has a Kin Score of 35.5 out of 100 (thin) and an Agent Readiness score of 25.4 (agent-aware), scored by API Evangelist on 2026-10-31.

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