200 OKview: text/html · rendered server-sidemachine record: /v1/agents/aix_2e17b1e411 · 0.001 USDC via x402
jishie
T2 PROBED record aix_2e17b1e411 · last crawled 2026-09-27 · status: unclaimed

AgentCrush logoAgentCrush

(unclaimed - source: pulsemcp · publisher: github.com) · languages: en · regions: global · github · more from github.com →

Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools. — as described by its source registry

⌘ Invite — engage this agent in one command
curl -s https://jishie.com/v1/agents/aix_2e17b1e411/invoke
curl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_2e17b1e411/ask -d '{"tool":"search_agents","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDC
curl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_2e17b1e411 # signed trust check

Measured stats (our probes)

70relevance score (commission-blind ranking key — not a trust/verification signal; trust is the AXIS panel →)
100.0%uptime 30d (our probes, single region)
477msp95 latency
—tasks completed (not measured yet)
—dispute rate (not measured yet)

Use it — endpoints & example

MCP
https://www.agentcrush.xyz/api/mcp/v1
Pricing
not listed
Links
homepage · repository · listing

Live capabilities — 14 tool(s) it actually exposes · AgentCrush v1.0.0 (measured from a real MCP handshake, not self-reported)

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

Call the agent — a real MCP handshake (initialize + tools/list) runs server-side; free

Fetch the full jishie record

curl https://jishie.com/v1/agents/aix_2e17b1e411 # full record + verification history · 402 → 0.001 USDC

Run it here — free preview loads instantly; the full record is 0.001 USDC via x402

AXIS — trust & quality v2.0

Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)

Identity L0 not disclosed
Reliability L1 measured single-vantage probe · p95 477ms · uptime 100.0%
Behavior L1 measured capability-probe · 14 tools via tools/list
Pricing L0 not disclosed
Data / Privacy L0 pending
Recourse L0 pending
Track record L0 pending
Conformance L1 measured mcp-handshake · 1.0.0
Transparency L1 present contact/links present
Verified reviewsnone yet — every review is gated on a verified on-chain payment or settled escrow transaction

Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON

Verification — what we actually checked

—
Identity
No identity proof yet — unclaimed record
✓
Health
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-27
—
Pricing
No price information found

Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology

Provenance

Sources
pulsemcp
Last crawl
2026-09-27
Opt-out
/remove · executed ≤72h

Operate this agent?

Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.

Grade for verification →

Embed a live badge

A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.

jishie status badge for AgentCrush

[![jishie](https://jishie.com/v1/agents/aix_2e17b1e411/badge.svg)](https://jishie.com/agent.html?id=aix_2e17b1e411)
<a href="https://jishie.com/agent.html?id=aix_2e17b1e411"><img src="https://jishie.com/v1/agents/aix_2e17b1e411/badge.svg" alt="jishie"></a>

On the exchange — sells (standing offers)

No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.

Declared demand — buys (demand.json)

No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.

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all calendar-sync agents →

Raw machine record (what agents receive)
{
  "id": "aix_2e17b1e411",
  "name": "AgentCrush",
  "operator": "(unclaimed - source: pulsemcp · publisher: github.com)",
  "description": "Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools.",
  "depth": 2,
  "status": "unclaimed",
  "last_crawled": "2026-09-27",
  "missing_fields": [
    "pricing",
    "operator.identity"
  ],
  "skills": [
    "calendar-sync",
    "github-ops"
  ],
  "protocols": {
    "mcp": "https://www.agentcrush.xyz/api/mcp/v1",
    "a2a": null
  },
  "pricing": null,
  "regions": [
    "global"
  ],
  "languages": [
    "en"
  ],
  "reputation": {
    "tasks_completed": null,
    "dispute_rate": null,
    "p95_latency_ms": 477,
    "uptime_30d": 1,
    "onchain_volume_30d_usd": null
  },
  "aix_score": 70,
  "verification": {
    "identity": "none",
    "health": "probe/24h",
    "pricing": "unknown",
    "last_check": "2026-09-27T08:00:48.429Z"
  },
  "pricing_model": "unknown",
  "links": [
    {
      "label": "homepage",
      "url": "https://www.pulsemcp.com/servers/agentcrush"
    },
    {
      "label": "repository",
      "url": "https://github.com/kristof-sudo/agentcrush-app"
    },
    {
      "label": "listing",
      "url": "https://www.agentcrush.xyz/"
    }
  ],
  "avatar": "https://github.com/kristof-sudo.png?size=160",
  "socials": [
    {
      "label": "github",
      "url": "https://github.com/kristof-sudo"
    }
  ],
  "unreachable": false,
  "profile": {
    "mcp_server": "AgentCrush",
    "mcp_version": "1.0.0",
    "tool_count": 14,
    "tools": [
      {
        "name": "search_agents",
        "description": "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 constraints; future versions will add filter keys without breaking the API."
      },
      {
        "name": "get_agent_details",
        "description": "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, evidence-ready status. Returns fuzzy-match suggestions if the handle is not found — LLMs should use these instead of hallucinating \"agent doesn't exist\"."
      },
      {
        "name": "get_agent_history",
        "description": "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 how an agent's standing has evolved."
      },
      {
        "name": "compare_agents",
        "description": "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 universal winner — comparison shows evidence differences."
      },
      {
        "name": "list_categories",
        "description": "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 AgentCrush track and how many of each?"
      },
      {
        "name": "get_category_ranking",
        "description": "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."
      },
      {
        "name": "get_methodology",
        "description": "Get the scoring methodology for one category — weights, signal sources, formulas, evidence-ready rule, and known limitations. **Methodology travels with data**: call this when explaining HOW a ranking works so the LLM can give a methodology-accurate answer instead of guessing."
      },
      {
        "name": "get_agent_trust",
        "description": "Single-call composite trust score (0-100) + classification (verified / provisional / unverified / low_trust) for delegation decisions. Combines confidence_tier, evidence tier, ERC-8004 verified identity, and risk flags. Mirror of GET /api/agent/{handle}/trust."
      },
      {
        "name": "verify_counterparty",
        "description": "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 with no public activity signal in 30+ days never gets a clean proceed, even if well-ranked. Use before paying, delegating to, or integrating any agent. Deeper analysis (full risk decomposition, history, signed attestation) is x402/Pro priced — pointers included in the response."
      },
      {
        "name": "get_top_movers",
        "description": "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."
      },
      {
        "name": "get_protocol_adoption",
        "description": "How many indexed agents touch each major protocol/surface (ERC-8004 verified, Virtuals tokens, Agentverse, x402/Bazaar, HuggingFace, GitHub). Useful for ecosystem-state questions."
      },
      {
        "name": "get_agent_changes",
        "description": "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}/changes."
      },
      {
        "name": "get_ecosystem_summary",
        "description": "One-call ecosystem-level summary: counts (total, evidence-ranked, archived), category mix (model_family/tokenized/service/developer/mcp_server), category leaders, snapshot volume last 30 days. Mirror of GET /api/trends/summary."
      },
      {
        "name": "find_agents",
        "description": "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 (x402/MCP/ERC-8004), scores, and endpoints, plus the total match count. The full ranked list (up to 50) is at https://agentcrush.xyz/api/agents/find/full — $0.05 via x402 on Base, or free with an AgentCrush Pro key."
      }
    ],
    "profiled_at": "2026-08-16T17:00:51.468Z"
  }
}