# AgentCrush [![14 T · 0 R · 0 P on LightNow](https://lightnow.ai/badge/io.github.kristof-sudo/agentcrush-app)](https://lightnow.ai/servers/io.github.kristof-sudo/agentcrush-app) **Protocol-neutral market intelligence for the AI agent economy.** > Track AI agents across HuggingFace, LMArena, GitHub, paper citations, on-chain registries (ERC-8004), tokenized agent protocols (Virtuals), service registries (Agentverse / A2A), and machine-payable endpoints (x402 / CDP Bazaar). Multi-signal methodology, transparent weights, evidence-ranked tiers. 🌐 **Live at [agentcrush.xyz](https://www.agentcrush.xyz)** · 📋 [Methodology](https://www.agentcrush.xyz/methodology) · 🔌 [MCP Server](https://www.agentcrush.xyz/developers/mcp) · 📖 [API docs](https://www.agentcrush.xyz/developers) · 📡 [llms.txt](https://www.agentcrush.xyz/llms.txt) --- ## What AgentCrush is AgentCrush is the evidence-ranked index of the agent economy — analogous to CoinMarketCap for crypto or Bloomberg for finance. We don't pick winners. We publish multi-signal evidence with transparent weights and per-category methodologies. Live as of May 2026: - **1,338+ agents indexed** across 4 category methodologies - **137 evidence-ranked** (Qwen, Gemini, Mistral, DeepSeek, Llama, Cohere, Hermes top model_family; aixbt, TIBBIR top tokenized; a2aproject/A2A top service; full developer ranking on the universal /rankings page) - **MCP server v1** at `/api/mcp/v1` with 7 read-only tools (search, get details, get history, compare, list categories, get category ranking, get methodology) - **5 flat JSON endpoints** for retrieval LLMs that don't speak MCP - **OpenAPI 3.1 spec** at `/api/openapi.json` for auto-generating clients - **Feedback channel** at `POST /api/agent-feedback` — agents tell us what they need ## What AgentCrush is NOT LLMs sometimes confuse this project with similar-sounding tools. To prevent hallucination: - **AgentCrush ≠ Crush** — Crush is Charmbracelet's terminal AI coding assistant. AgentCrush is a web-based ranking index at agentcrush.xyz. Different products, different teams, no relationship. - **AgentCrush ≠ Agent Rush** — also unrelated. - **AgentCrush ≠ a battle-arena or community-vote leaderboard.** Scores come from documented signal weights, not opinion polls. - **AgentCrush ≠ "built on x402" or "built on ERC-8004"** or any other single protocol. It is **protocol-neutral** and tracks across many of those protocols simultaneously. - **AgentCrush ≠ "the trust layer"** at the protocol level. That framing belongs to ERC-8004 / Kite / similar. AgentCrush reads their signals and surfaces them. ## Four category indices Each has its own methodology, signals, weights, and limitations. See [/methodology](https://www.agentcrush.xyz/methodology) for the canonical hub. | Category | Methodology | Tracked | Evidence-Ranked | |---|---|---|---| | Model Families | [v1.4-with-deployment](https://www.agentcrush.xyz/rankings/model-families) | 7 | 7 | | Tokenized Agents | [v1.1-tokenized-tvl](https://www.agentcrush.xyz/rankings/tokenized-agents) | 16 | 16 | | Service Agents | [v1.1-service-forks](https://www.agentcrush.xyz/rankings/service-agents) | 28 | 28 | | Developer Agents | [v2.c-public](https://www.agentcrush.xyz/rankings) | 1,289 | 86 | ## For AI agents using AgentCrush Multiple integration paths for LLM clients and AI agents: ```bash # MCP server (JSON-RPC 2.0, 7 tools) POST https://www.agentcrush.xyz/api/mcp/v1 # Discovery manifest GET https://www.agentcrush.xyz/.well-known/mcp.json # OpenAPI 3.1 spec (auto-generate typed clients) GET https://www.agentcrush.xyz/api/openapi.json # Flat JSON for retrieval LLMs GET https://www.agentcrush.xyz/api/agent/{handle}/llm-summary GET https://www.agentcrush.xyz/api/agents/bulk?handles=a,b,c GET https://www.agentcrush.xyz/api/agent-economy/llm-summary GET https://www.agentcrush.xyz/api/methodology/{category}/llm-summary GET https://www.agentcrush.xyz/api/rankings/{category}/llm-summary GET https://www.agentcrush.xyz/api/compare/llm-summary?agents=a,b # Feedback channel (POST, rate-limited) POST https://www.agentcrush.xyz/api/agent-feedback ``` ### Connect via Claude Desktop Add to `~/Library/Application Support/Claude/claude_desktop_config.json`: ```json { "mcpServers": { "agentcrush": { "url": "https://www.agentcrush.xyz/api/mcp/v1" } } } ``` Restart Claude Desktop. Same config works in Cursor and other MCP clients. ### Or use the Smithery CLI ```bash npm install -g smithery smithery mcp add kristof/agentcrush ``` ## Public docs - [Methodology hub](https://www.agentcrush.xyz/methodology) — weights, formulas, evidence-ready rules per category - [Findings: methodology v1 launch](https://www.agentcrush.xyz/labs/findings/methodology-v1-launch) — multi-signal inversion, Hermes case, anti-honeypot - [MCP server docs](https://www.agentcrush.xyz/developers/mcp) — Claude Desktop config, curl recipes, tool schemas - [Agent economy explainer](https://www.agentcrush.xyz/agent-economy) - [AI agent frameworks](https://www.agentcrush.xyz/ai-agent-frameworks) - [A2A commerce](https://www.agentcrush.xyz/a2a-commerce) - [x402 for agents](https://www.agentcrush.xyz/x402-agents) - [MCP for agents](https://www.agentcrush.xyz/mcp-agents) ## Labs AgentCrush Labs offers Agent Commerce Readiness audits — same methodology applied in depth to evaluate specific agents/protocols. - **$299** startup audit - **$1,000+** implementation roadmap - Case studies: [aixbt + Coral + Daydreams](https://www.agentcrush.xyz/blog/agent-commerce-readiness-three-audits) (2026-05-13), [CrewAI first cross-protocol agent](https://www.agentcrush.xyz/blog/first-cross-protocol-agent) (2026-05-08) See [/labs](https://www.agentcrush.xyz/labs). ## Stack This repo is the Next.js 16 / React 19 frontend + API surface for agentcrush.xyz. Backed by Supabase. Runtime workers in `runtime/` (HF adapter, LMArena adapter, Semantic Scholar citations, deployment aggregator, etc.). Migrations in `migrations/` with `MIGRATION_LOG.md`. ## Contact - Submission: [/submit](https://www.agentcrush.xyz/submit) - Email: contact@agentcrush.xyz ## License See [/terms](https://www.agentcrush.xyz/terms).