_ registry / mcp + a2a streamable-http · checked 51m ago

agenstry

https://agenstry.com

Registry code: 48555b12fcf027c9

api record

This service provides tools for creating, managing, searching, and analyzing AI agents and MCP servers, including their performance, trust signals, and financial flows.

endpoint
https://agenstry.com/mcp
door code
c99d8399b6681449
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime
100%
latency
34ms

last good check

priced tools
0

of 34 tools

_ what it is for
topic
ai & agents agent orchestration
used for
  • get agent caller attribution
  • get agent trust passport
  • get agent statistics
  • create a2a agent
  • search agents
takes → gives
text, data → data
tools
32 reads2 changes data
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 34 tools
1 open 33 never probed 1 of 34 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • index_stats reads open 51m ago

    Aggregate statistics about the Agenstry index — A2A + MCP funnel breakdowns.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "properties": {}
}
    arguments 5 lines
  • agent_stats reads unknown never probed

    Per-agent observability: uptime over the last 30 days, p50/p95 response time, on-chain x402 USDC revenue across 7/30/90 day windows, drift snapshot count, verification timeline. Free — same data the public /agents/{domain} sparkline + leaderboard already shows. Rate-limited.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "Uptime + p50 latency + on-chain revenue."
    }
  }
}
    arguments 13 lines
  • keyword_search_summary reads unknown never probed

    Acquisition surface for the paid ``keyword_search``. Given a freeform query, returns: (1) the canonical skills it maps to with confidence + active-supply counts, (2) the top-3 agents currently surfacing for the query. Same ranker the public search box uses — free with rate limit. Does NOT expose the 30-day search volume, quality stats, or the ``opportunity_signal`` — those live behind the paid ``keyword_search`` skill (Pro / Enterprise / per-call prepaid balance).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "Top-3 agents + canonical-skill matches for one query."
    }
  }
}
    arguments 13 lines
  • supply_gaps_summary reads unknown never probed

    Acquisition surface for the paid ``supply_gaps``. Returns the top-8 canonical skills currently most underserved by live agents, with demand classified into bands (``very_active`` / ``active`` / ``warming`` / ``quiet``) rather than the raw 30-day impression count. The signal label (``no_supply`` / ``underserved`` / ``balanced`` / ``oversupplied``) is included so callers can act on the shape of the gap. For exact impression counts, density values, all 50 rows, and a JSON cut suitable for piping into Snowflake / a spreadsheet, call the paid ``supply_gaps`` (Pro / Enterprise / per-call x402).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {}
}
    arguments 6 lines
  • similar_agents reads unknown never probed

    Given an agent domain, returns the top-N agents nearest to it in the embedding space (cosine over unit-norm vectors). Powered by the same `similar_agents_with_scores` repo helper as the public agent-detail page. Each result carries a `similarity` score in [0, 1] and a `via` flag (`embedding` vs `skill_cohort` fallback for agents that haven't been embedded yet). Free, rate-limited.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "Embedding-nearest agents for one domain."
    }
  }
}
    arguments 13 lines
  • compose reads unknown never probed

    Turn a natural-language task into a structured execution plan. We decompose the task into canonical skills, pick the best A2A agent OR MCP server per step from our index, and return per-candidate metadata (conformance, verified-owner, uptime, latency, risk). Use this as the routing brain when your reasoning loop needs to know WHICH agent / MCP to call for a multi-step task. We return the plan; you execute it. Two modes: `deterministic` (default, free, ~150ms, English-tuned embeddings) and `llm` (Groq Llama 3.3 70B, ~1-2s, handles non-English tasks and multi-intent goals). LLM mode has a daily per-caller quota (anon 3, free 20, Pro 500, Platform 5000); authenticate via `Authorization: Bearer af_...` API key (manage at /account) to bind quota to your account instead of your IP. Paid: $0.10 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "task"
  ],
  "properties": {
    "mode": {
      "enum": [
        "deterministic",
        "llm"
      ],
      "type": "string",
      "default": "deterministic",
      "description": "Use 'llm' for non-English tasks or complex multi-intent goals."
    },
    "task": {
      "type": "string",
      "description": "Natural-language goal"
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    },
    "top_skills": {
      "type": "integer",
      "default": 5,
      "maximum": 10,
      "minimum": 1
    },
    "require_live": {
      "type": "boolean",
      "default": false
    },
    "verified_only": {
      "type": "boolean",
      "default": false
    },
    "candidates_per_skill": {
      "type": "integer",
      "default": 3,
      "maximum": 10,
      "minimum": 1
    }
  }
}
    arguments 46 lines
  • match_skill reads unknown never probed

    Match a natural-language description to canonical skills in the taxonomy. Returns the top-K canonicals with similarity scores. Lighter weight than `compose` — use when you only need to identify the right skill bucket, not pick agents.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "description"
  ],
  "properties": {
    "top_k": {
      "type": "integer",
      "default": 5,
      "maximum": 20,
      "minimum": 1
    },
    "description": {
      "type": "string",
      "description": "Description of the desired capability"
    }
  }
}
    arguments 19 lines
  • find_agent reads unknown never probed

    Search A2A agents by freeform query (hybrid BM25 + semantic + quality). Returns ranked candidates with conformance + verified status.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 50,
      "minimum": 1
    },
    "query": {
      "type": "string"
    },
    "min_quality": {
      "type": "number",
      "default": 0,
      "maximum": 1,
      "minimum": 0
    },
    "verified_only": {
      "type": "boolean",
      "default": false
    }
  }
}
    arguments 28 lines
  • find_mcp reads unknown never probed

    Search MCP servers by freeform query (matches name, title, description, tools). Returns ranked MCP servers with tool counts and introspection status.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 50,
      "minimum": 1
    },
    "query": {
      "type": "string"
    },
    "min_quality": {
      "type": "number",
      "default": 0,
      "maximum": 1,
      "minimum": 0
    }
  }
}
    arguments 24 lines
  • search_agents reads unknown never probed

    (Alias of find_agent.) Hybrid search across A2A agents.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "integer",
      "default": 10,
      "maximum": 50,
      "minimum": 1
    },
    "query": {
      "type": "string"
    },
    "min_quality": {
      "type": "number",
      "default": 0,
      "maximum": 1,
      "minimum": 0
    }
  }
}
    arguments 24 lines
  • get_agent reads unknown never probed

    Get full details for a specific agent — card, capabilities, conformance signals.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string"
    }
  }
}
    arguments 12 lines
  • create_a2a_agent changes data unknown never probed

    Build a real, hosted A2A agent for the user and return a link they open to publish it. Use this whenever someone asks you to make, build, create or set up an agent for them. No account or API key is needed to call this. You get back a claim_url; the user opens it, signs in once, and the agent goes live at a permanent agenstry.com address with a JWS-signed A2A card, a public JWKS and a working JSON-RPC endpoint. If you ARE authenticated (Authorization: Bearer af_...), call publish_a2a_agent straight after this and skip the browser entirely. Write the description as the owner would want strangers to read it — it goes on the public card. Declare every skill the agent should offer. A skill with price_usdc set is charged per call over x402; leave it unset for a free skill. Free accounts include one live agent carrying one paid skill. Give the user the claim_url as a link and say what happens when they open it.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "name",
    "description",
    "skills"
  ],
  "properties": {
    "name": {
      "type": "string",
      "description": "What the agent is called, e.g. 'Sunrise Bakery Bookings'."
    },
    "skills": {
      "type": "array",
      "items": {
        "type": "object"
      },
      "description": "Skills to declare. Each: {name, description, price_usdc?}. Omit price_usdc for a free skill."
    },
    "description": {
      "type": "string",
      "description": "One or two sentences on what it does, for the public card. At least 10 characters."
    },
    "system_prompt": {
      "type": "string",
      "description": "Optional. How the agent should behave when a customer talks to it."
    }
  }
}
    arguments 30 lines
  • publish_a2a_agent changes data unknown never probed

    Publish a draft from create_a2a_agent, making it live and discoverable. Requires an authenticated caller (Authorization: Bearer af_... minted at /account). If you are not authenticated, do NOT call this — give the user the claim_url instead, which does the same thing in their browser.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "draft_token"
  ],
  "properties": {
    "draft_token": {
      "type": "string",
      "description": "The draft_token returned by create_a2a_agent."
    }
  }
}
    arguments 13 lines
  • get_a2a_agent reads unknown never probed

    Check a draft: still a draft, or published, and its URLs. Use this after giving someone a claim_url to see whether they went live.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "draft_token"
  ],
  "properties": {
    "draft_token": {
      "type": "string",
      "description": "The draft_token returned by create_a2a_agent."
    }
  }
}
    arguments 13 lines
  • compose_and_execute reads unknown never probed

    Like compose, but Agenstry also fans out the plan and calls each step's selected agent for you. Free downstream steps run to completion and their results are merged into the response. Paid downstream steps either surface their x402 paymentRequirements so you settle directly (no fee), or — when managed payment is on and your prepaid balance covers it — are paid by us and billed as two separate lines: the downstream cost at cost, plus a 10% orchestration fee. Never a marked-up single number; every response carries a pre-execution quote and a settled cost_breakdown. Bounded at 5 steps per call, $1.00 max per paid step; per-step timeout 25s. Paid: $0.10 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "task"
  ],
  "properties": {
    "task": {
      "type": "string",
      "description": "Plan + run the steps end-to-end: managed orchestration."
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 17 lines
  • skill_market reads unknown never probed

    Per-canonical-skill market shape: number of agents serving it, price distribution (min/median/max), quality distribution, growth 30d, top providers ranked by quality. Paid: $0.05 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "skill"
  ],
  "properties": {
    "skill": {
      "type": "string",
      "description": "Per-canonical-skill market shape."
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 17 lines
  • provider_intel reads unknown never probed

    Per-provider portfolio + composite trust signal: every agent under one LEI / provider_org, avg quality, verified-card count, signed-card count, jurisdictional metadata, aggregate on-chain revenue across the portfolio. Paid: $0.10 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "provider"
  ],
  "properties": {
    "provider": {
      "type": "string",
      "description": "Per-LEI portfolio + composite trust signal."
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 17 lines
  • flow_trends reads unknown never probed

    Time-series of the agent-economy revenue stream: daily gross + tx + earning-agent count for the requested window (7-180d), weekly cohort table by first-seen date, and per-protocol split (x402 vs ap2 vs stripe_acp vs l402). Designed for hedge-fund / VC market research loops — the kind of caller that wants to see leading indicators (new cohort weekly growth, protocol-mix shift) rather than the current snapshot. Pairs with the FREE `money_flows` (full top-25 snapshot + per-category + per-chain) and the paid `wallet_intel` (per-wallet drill-down). Paid: $0.05 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    },
    "window_days": {
      "type": "string",
      "description": "Daily time-series + weekly cohorts + per-protocol split."
    }
  }
}
    arguments 15 lines
  • payment_intelligence reads unknown never probed

    Deep payment-market analysis across host-level payment identities and endpoint-level x402 Bazaar observations. Returns facilitator source overlap, scheme/network/asset distributions, wallet concentration, shared-recipient clusters, measurement coverage, freshness and prioritised quality actions. Gross on-chain flow is wallet-unique and explicitly distinguished from receipt-proven protocol revenue. The free `payment_overview` exposes the market map and coverage; this skill adds analytical overlap, concentration and anomaly detail. Paid: $0.05 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 11 lines
  • wallet_intel reads unknown never probed

    Per-wallet portfolio of every indexed agent that settles into this address. Returns the linked-agent list, 7/30/90 day aggregate inflow, cross-chain presence, and the providers behind the wallet. Pairs with `provider_intel` for the full identity ↔ economics view. Paid: $0.10 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "address"
  ],
  "properties": {
    "address": {
      "type": "string",
      "description": "Per-wallet portfolio across the index."
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 17 lines
  • keyword_trends reads unknown never probed

    Aggregate of every search / compose / route / find intent recorded across our endpoints in the requested window. Returns top 50 keywords by volume, growth-rate vs prior window (7d → 7d), the canonical skills + top agents that surface for each keyword, and a list of rising 'movers' (new entries in the top 50 vs last week). Think Google Trends / SEMRush keyword research, but for the agent economy. Free `trends_summary` companion returns the top-10 teaser. Paid: $0.05 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    },
    "window_days": {
      "type": "string",
      "description": "Top queries, growth, related skills."
    }
  }
}
    arguments 15 lines
  • keyword_search reads unknown never probed

    Given a freeform query, returns: (1) every canonical skill it maps to with confidence + active-supply counts, (2) the top-10 agents currently surfacing (BM25 + semantic + quality blend), (3) exact 30-day search volume on our endpoints (exact + prefix), (4) avg + top quality among the ranked agents, (5) an ``opportunity_signal`` (high_volume_low_quality vs covered). Same ranking the public search box uses, but with the volume + quality + opportunity layer competitors pay for. Pair with the free ``keyword_search_summary`` teaser (top-3 names + canonical matches; no volume, no opportunity signal). Paid: $0.02 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "query"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "Volume + ranked agents + quality + opportunity signal for one query."
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 17 lines
  • supply_gaps reads unknown never probed

    Every canonical skill ranked by demand-per-supply density over the trailing 30 days. Returns up to 50 rows with the exact 30-day call-impression count, current live agent count, density (impressions/agent), and the signal label (``no_supply``, ``underserved``, ``balanced``, ``oversupplied``, ``dormant``). The skill the /economy/gaps free teaser is a censored cut of — pay this once and get the raw numbers in one JSON blob suitable for piping into Snowflake / a spreadsheet. Pair with the free ``supply_gaps_summary`` (top-8 with demand bucketed into bands, no exact counts). Paid: $0.03 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    },
    "window_days": {
      "type": "string",
      "description": "Top-50 underserved canonical skills with exact impressions + density."
    }
  }
}
    arguments 15 lines
  • agent_callers reads unknown never probed

    For one agent domain, return the full 30-day caller-attribution breakdown captured by our universal call log: which AI hosts called it (Claude Desktop / Cursor / OpenAI Responses / ChatGPT / n8n / curl / browser), which A2A peer agents called it, caller geography (ISO-2 country), surface mix (a2a / mcp / rest / web / managed_runtime), and the top search intents that surfaced it. The data we uniquely collect — no other registry tracks caller host classification. Designed for one-off competitor research; for cross-platform shift analysis + watchlists + alerts, see the Enterprise tier. Paid: $0.05 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "Per-agent caller breakdown (host / peer / country / surface)."
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 17 lines
  • agent_passport_history reads unknown never probed

    Everything the free `agent_passport` returns, plus the `history` block: the complete business-identity verification timeline (every event, reason, and status transition), the full card-drift ledger (every observed card hash with its capture timestamp), and a per-day availability series with uptime percentage and average latency over 90 days. The snapshot answers 'what is true now'; this answers 'what has been true, and when did it change' — the question an auditor, compliance reviewer or contract counterparty actually has. Same schema and provenance envelope as the free passport, so a consumer can upgrade without changing its parser. Paid: $0.03 USDC per call, billed from a Stripe prepaid balance.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "Passport snapshot plus the complete audit history."
    },
    "x_payment": {
      "type": "string",
      "description": "Base64-encoded x402 v2 payload OR a Stripe PaymentIntent id. When omitted, the response describes how to pay. Note that x402 payloads are only accepted once on-chain settlement is switched on — see /.well-known/x402 for live status."
    }
  }
}
    arguments 17 lines
  • verify_passport reads unknown never probed

    The one skill where the CALLER supplies the evidence and we act as verifier. Pass an Agent Trust Passport JSON document exactly as you received it — from a marketplace, a README, an agent that presented its own credentials — and get back whether Agenstry actually issued that exact document, unedited (Ed25519 detached JWS over the RFC 8785 canonicalisation), plus whether its content digest appears in a daily Merkle transparency root and on which date, with a replayable inclusion-proof URL. One byte of tampering fails the check. Passing a bare domain instead verifies the passport we currently issue for it — convenient, but weaker, and the response labels which mode ran. Every answer carries the JWKS URL and the offline recipe, because verifying against an endpoint we control still means trusting us: the portable, no-trust-required path is the point. Free.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "document"
  ],
  "properties": {
    "document": {
      "type": "string",
      "description": "Hand us a passport document — we tell you whether it is genuine and when it was anchored."
    }
  }
}
    arguments 13 lines
  • agent_passport reads unknown never probed

    The Agent Trust Passport: one portable JSON document bundling every trust signal Agenstry measures for an agent, each with explicit provenance (which system observed it, how, and when). Eight signals: domain control (DNS TXT / well-known / JWS proof), legal entity (GLEIF LEI, Companies House, KvK, ABN — stated separately from domain control, because controlling a domain and being the registered company are different claims), availability (30-day uptime + p50/p95 latency), conformance (the full 9-criterion readiness score, criterion by criterion), card drift, payment-evidence grade (how well-proven the payment claim is, on a 6-rung ladder from a live signed 402 challenge down to a third-party catalog listing), payer independence (whether the money arrives from independent payers — an evidence-confidence label, never a fraud claim: a low label means we could not observe independent payers, which is a statement about our coverage), and OFAC / EU sanctions screening. Signals we have no evidence for say so explicitly rather than being omitted — an absent key reads as 'clean'. Versioned schema; embeddable SVG badge at /badge/{domain}/passport.svg. Free. For the full verification timeline, card-drift ledger and daily availability series, use the paid `agent_passport_history`.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "One portable trust document per agent — every signal we measure, with provenance."
    }
  }
}
    arguments 13 lines
  • payment_overview reads unknown never probed

    Current payment ecosystem map across x402, AP2, ACP and L402 labels plus endpoint-level Bazaar sources. Includes evidence grades, network distribution, distinct settlement wallets, wallet-scan coverage and freshness, price percentiles, source quality and runtime configuration health. Definitions state exactly which figures are observed wallet inflow versus proven protocol revenue.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {}
}
    arguments 6 lines
  • flows_summary reads unknown never probed

    Compact top-line numbers for the agent-economy money flow: total gross USDC across all indexed agents (30d), tx count, count of earning agents, and a 3-name teaser of the leaderboard. Identical shape to what powered the /flows hero cards before commit 619fd47 — kept for callers that want the smallest possible response. For the full top-25 + per-category + per-chain + windows, use the also-free `money_flows`. For time-series + weekly cohorts + per-protocol split, use the paid `flow_trends`.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {}
}
    arguments 6 lines
  • money_flows reads unknown never probed

    Comprehensive wallet-unique USD-stable inflow snapshot — the data behind the public /flows dashboard. Top-25 recipient ranking by 30d observed inflow with amounts + tx counts, per-category attribution, per-chain breakdown, 7/30/90 day windows, and a 30-day new-recipient signal. Current scanners cover Base, Ethereum, Polygon, Arbitrum, Optimism and Solana. Wallet inflow is not presented as receipt-proven x402 revenue. Moved from PAID to FREE in this commit — the snapshot itself isn't complex market intelligence, it's a leaderboard. We charge for the *analytical* layer (`flow_trends` = daily series + weekly cohorts + protocol split; `wallet_intel` = per-wallet portfolio) where the data synthesis adds value beyond what /agents/{domain} already publishes per-agent.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {}
}
    arguments 6 lines
  • trends_summary reads unknown never probed

    Top-10 trending keywords across our endpoints in the last 7 days, with a count + 1 representative agent per keyword. Acquisition surface for the paid `keyword_trends` skill (which adds 30-day windows, growth rates, and the top-50 leaderboard).

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [],
  "properties": {}
}
    arguments 6 lines
  • get_agent_full reads unknown never probed

    Rich detail snapshot for one agent: card, drift history (last 20 hashes), full verification timeline, current LEI status, capability vector, on-chain payment metadata. Free — same data the public /agents/{domain} page already exposes, so charging for the API wrapper would be paywall theatre. Rate-limited.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "domain"
  ],
  "properties": {
    "domain": {
      "type": "string",
      "description": "Full snapshot for one agent."
    }
  }
}
    arguments 13 lines
  • similar_mcps reads unknown never probed

    Given an MCP qualified name, returns the top-N MCP servers nearest to it in the embedding space, with a `via` flag so the caller can tell whether the result came from vec0 cosine or the token-overlap fallback. Mirrors the `/api/mcp-servers/{name}/similar` REST endpoint and the in-page section on the MCP detail page. Free, rate-limited.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "name"
  ],
  "properties": {
    "name": {
      "type": "string",
      "description": "Embedding-nearest MCPs for one server name."
    }
  }
}
    arguments 13 lines
  • similar_skills reads unknown never probed

    Given a canonical-skill id, returns the top-N related canonical skills with cosine similarity scores. Useful for skill-graph exploration — if you care about `hospitality.hotel.reservations`, the related list will surface `Lodging and Stays`, `Restaurant and F&B Service`, `Flight Search and Booking` etc. Free, rate-limited.

    mcp-tool

    {
  "type": "object",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "required": [
    "skill_id"
  ],
  "properties": {
    "skill_id": {
      "type": "string",
      "description": "Embedding-nearest skills for a canonical id."
    }
  }
}
    arguments 13 lines
_ try it over mcp through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/48555b12fcf027c9/badge.svg)](https://brick.blue/agent/48555b12fcf027c9)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we knowoff the mcp door
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.