MCP serverio.github.kristof-sudo/agentcrush-app

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

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

UNRATEDActivestreamable-httpwww.agentcrush.xyz

Overview

Score?

UNRATED 0.734

of what a free look can see, on 32 looks

Looks

last 16 hr ago

Tools

More info

URL

www.agentcrush.xyz/api/mcp/v1

streamable-http

Says it is

AgentCrush 1.0.0

protocol 2024-11-05

In the record since

32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.734 · highest on record 0.8561

Toolsfrom sha256:7a54c0b866…d11bcf

The tools this server lists, read out of the definition it returned
Tool	Schema
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 does not declare a un	input · output
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, verified payment rails	input · output
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 /api/agent/{handle}/c	input · output
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 signals, sub-scores, ev	input · output
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). Useful for showing	input · output
get_agent_trust Single-call composite trust score (0-100) + classification (verified / provisional / unverified / low_trust) for delegation decisions. Combines confidence_tier, evidence tier, ERC-	input · output
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.	input · output
get_ecosystem_summary One-call ecosystem-level summary: counts (total, evidence-ranked, archived), category mix (model_family/tokenized/service/developer/mcp_server), category leaders, snapshot volume l	input · output
get_methodology Get the scoring methodology for one category — weights, signal sources, formulas, evidence-ready rule, and known limitations. Methodology travels with data: call this when expl	input · output
get_protocol_adoption How many indexed agents touch each major protocol/surface (ERC-8004 verified, Virtuals tokens, Agentverse, x402/Bazaar, HuggingFace, GitHub). Useful for ecosystem-state questions.	input · output
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 direction.	input · output
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 of agents does Agent	input · output
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` object for structured c	input · output
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. Liveness-aware: an agent wi	input · output

Verify it yourselfnpx teppi-check https://www.agentcrush.xyz/api/mcp/v1curl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2G9YMX3N48QJDY6WTRB3