AgentCrush

AgentCrush provides a public, protocol‑neutral index of AI agents, offering rankings, ghost‑index snapshots, and market intelligence. It aggregates signals from GitHub, npm, PyPI, on‑chain x402 payments, and A2A/MCP activity to evaluate agent health, trust, and economic impact. The service is free for basic access and offers a paid Pro API for unlimited calls, with transparent pricing and open methodology.

AgentCrush is listed with 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Market Intelligence, Index, Rankings, and Open Data.

AgentCrush’s developer surface includes documentation, API reference, pricing, engineering blog, and 12 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

19.7/100 emerging ▬ flat Agent 10/100 agent aware Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessPaid

1 API 1 MCP Servers 1 Agent Skills

Artificial Intelligence Market Intelligence Index Rankings Open Data

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 19.7/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 3.5 / 17

Access Clarity 7.2 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.5 / 10

Discoverability 5.5 / 9

Regulatory Posture 2.0 / 15

Agent readiness — 10/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 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

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Government & Public Sector 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):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
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)
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)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

10 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 20.8 — up to +15.8 composite points
Operational Transparency scores 0.0 — up to +13.0 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/agentcrush-xyz/apis.yml: open an issue on github.com/api-evangelist/agentcrush-xyz 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 2

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 (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

APIs 1

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

AgentCrush Public API

AgentCrush is the protocol‑neutral market intelligence layer for the AI agent economy. This OpenAPI spec covers the free flat JSON endpoints designed for LLM/agent retrieval.

MCP Servers 1

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

AgentCrush MCP Server

Remote MCP server at agentcrush.xyz.

MCP SERVER

Agent Skills 1

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

lookup-agent

AGENT SKILL

Pricing Plans 1

Published pricing tiers and plan structures.

Agentcrush Xyz Plans Pricing

1 plans

PLANS

Security Posture 1

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

Agentcrush Xyz Domain Security

TLSv1.3

SECURITY

Resources

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

MCPServer

MCPServer

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Build 1

SDKs, sample code, and the tooling you integrate with

ToolCrosswalk

ToolCrosswalk

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Commercial 3

Pricing, plans, and the legal terms of use

Plans

Plans

Pricing

Pricing

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: agentcrush-xyz
name: AgentCrush
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-02'
  method: derived
image: https://agentcrush.xyz/api/og?title=The%20public%20record%20of%20AI%20agents&kicker=AGENTCRUSH&subtitle=Independent.%20Cross-protocol.%20Open%20methodology.
description: AgentCrush provides a public, protocol‑neutral index of AI agents, offering rankings, ghost‑index snapshots,
  and market intelligence. It aggregates signals from GitHub, npm, PyPI, on‑chain x402 payments, and A2A/MCP activity to evaluate
  agent health, trust, and economic impact. The service is free for basic access and offers a paid Pro API for unlimited calls,
  with transparent pricing and open methodology.
url: https://artifacts.apis.io/agentcrush-xyz/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-31'
modified: '2026-10-31'
tags:
- Artificial Intelligence
- Market Intelligence
- Index
- Rankings
- Open Data
tags_raw:
- AI
- Market Intelligence
- Index
- Rankings
- Open Data
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Plans
  url: plans/agentcrush-xyz-plans-pricing.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Conformance
  url: conformance/agentcrush-xyz-conformance.yml
- type: LLMsTxt
  url: llms/agentcrush-xyz-llms.txt
- type: AgentCard
  url: a2a/agentcrush-xyz-a2a.yml
- type: ToolCrosswalk
  url: mcp/agentcrush-xyz-tool-crosswalk.yml
- type: MCPServer
  url: mcp/agentcrush-xyz-mcp.yml
- type: Hosts
  url: hosts/agentcrush-xyz-hosts.yml
- type: Vendors
  url: vendors/agentcrush-xyz-vendors.yml
- type: DomainSecurity
  url: security/agentcrush-xyz-domain-security.yml
- type: Website
  url: https://agentcrush.xyz/
- type: Documentation
  url: https://agentcrush.xyz/developers
- type: APIReference
  url: https://agentcrush.xyz/.well-known/mcp.json
- type: Pricing
  url: https://agentcrush.xyz/pricing
- type: Blog
  url: https://agentcrush.xyz/blog
- type: TermsOfService
  url: https://agentcrush.xyz/terms
apis:
- name: AgentCrush Public API
  description: AgentCrush is the protocol‑neutral market intelligence layer for the AI agent economy. This OpenAPI spec covers
    the free flat JSON endpoints designed for LLM/agent retrieval.
  humanURL: https://agentcrush.xyz/developers
  baseURL: https://agentcrush.xyz
  aid: agentcrush-xyz:agentcrush-public-api
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 16
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

AgentCrush API — frequently asked questions

Does AgentCrush have an API?

Yes. APIs.io lists 1 API from AgentCrush, including AgentCrush Public API.

How much does the AgentCrush API cost?

APIs.io lists 1 pricing plan for AgentCrush, with each plan's price, limits and inclusions under Pricing Plans on this page.

Does AgentCrush have an MCP server?

Yes. APIs.io lists 1 MCP server for AgentCrush: Remote MCP server at agentcrush.xyz.

Is the AgentCrush API ready for AI agents?

AgentCrush has a Kin Score of 19.7 out of 100 (emerging) and an Agent Readiness score of 10.1 (agent-aware), scored by API Evangelist on 2026-11-02.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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