io.github.kristof-sudo/agentcrush-app

up checked 2026-11-10T23:37:51.379Z

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Publisher-provided title

AgentCrush

Publisher-provided description

Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools.

Summary by lookupd

Provides market data on AI agents: compare agents, rank categories, check trust scores, and verify counterparties before transactions.

Install

Claude Code, remote (streamable-http)

claude mcp add --transport http agentcrush-app https://www.agentcrush.xyz/api/mcp/v1

Codex, remote (streamable-http)

codex mcp add agentcrush-app --url https://www.agentcrush.xyz/api/mcp/v1

Cursor, remote (streamable-http) → .cursor/mcp.json

{
  "mcpServers": {
    "agentcrush-app": {
      "url": "https://www.agentcrush.xyz/api/mcp/v1"
    }
  }
}

Other clients: docs. Or tell your agent: Set up lookupd for me: read https://lookupd.com/agent.md and follow it.

Tools (14 tools)

Publisher-provided text

• search_agents Search AI agents by name or keyword across AgentCrush's evidence-ranked index. Returns matching agents with category, tier, and rank info. Use the `filters` obj
• get_agent_details Get full details for a specific AI agent including all category scores it qualifies for (model_family, tokenized, service, developer). Returns identity, raw sig
• get_agent_history Get rank and score history for an AI agent over the past 1–90 days. Daily snapshots, deduplicated per calendar day. Returns trend summary (rising/falling/flat).
• compare_agents Compare 2-5 AI agents side-by-side across all their categories. Returns full per-agent scoring data + comparison context. Use for "X vs Y" queries. AgentCrush d
• list_categories List the 5 AgentCrush agent categories with tracked + evidence-ranked counts and current methodology versions. Use this for market-level discovery — what kinds
• get_category_ranking Get the full ranking for one of the 5 categories. Returns agents ordered by composite score with all sub-scores visible. Defaults to evidence-ranked only.
• get_methodology Get the scoring methodology for one category — weights, signal sources, formulas, evidence-ready rule, and known limitations. **Methodology travels with data**:
• get_agent_trust Single-call composite trust score (0-100) + classification (verified / provisional / unverified / low_trust) for delegation decisions. Combines confidence_tier,
• verify_counterparty THE pre-transaction question in one free call: should my agent deal with this counterparty right now? Returns proceed / caution / reject with reasoning. Livenes
• get_top_movers Returns the top weekly rank movers (up + down) computed from agents.weekly_delta. Useful for surfacing notable changes since last week. Default limit 10 per dir
• get_protocol_adoption How many indexed agents touch each major protocol/surface (ERC-8004 verified, Virtuals tokens, Agentverse, x402/Bazaar, HuggingFace, GitHub). Useful for ecosyst
• get_agent_changes Pairwise delta scan over an agent's recent snapshots. Reports material changes in score, rank, github_stars, follower_count, identity_type, etc. Mirror of GET /
• get_ecosystem_summary One-call ecosystem-level summary: counts (total, evidence-ranked, archived), category mix (model_family/tokenized/service/developer/mcp_server), category leader
• find_agents Counterparty discovery: "which agents can do X and are safe to pay?" Returns the top 3 ranked candidates with liveness (30-day Ghost Index rule), trust tier, ve

Details

• Version: 1.3.0
• Transports: streamable-http
• Uptime (7 days): 100%
• Median latency: 779 ms
• First indexed: 2026-11-01T09:37:57.087Z
• Last seen in registry: 2026-11-01T09:37:57.117Z
• Repository: https://github.com/kristof-sudo/agentcrush-app
• Website: https://www.agentcrush.xyz

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