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Evidence row 1057474

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint ecb9130a-8dce-4d3e-8189-9a51a78056f9
Recorded
Previous row
#573075
Body SHA-256
e057fb5c2f2caf025d56694b50446b1c94bac33c07cc507e525b40a97b5d5182
Leaf
0x369a30eda5dbdb236c0aecf775daf2eb54d293c148fe739befb2f65301d0f1a1

What was observed

{
  "count": 5,
  "tools": [
    {
      "description": "Get full structured details for a specific AI automation agency by its slug identifier.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "slug": {
            "description": "The agency slug identifier e.g. taycon-ai",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_agency"
    },
    {
      "description": "Get full structured details for a specific AI agent by its slug identifier. Returns pricing, capabilities, integrations, agent_type, pros, limitations, buyer decision fields, and ratings. Competitor price references and GitHub star counts are resolved to live values before returning.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "slug": {
            "description": "The agent slug identifier e.g. apollo-io, cursor, intercom-fin, github-copilot",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_agent"
    },
    {
      "description": "List all available categories in the AI Agent Index, including AI agent software categories and the AI Automation Agencies services directory. Returns slugs, display names, and counts.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "list_categories"
    },
    {
      "description": "Search the AI Agent Index for AI automation agencies (services firms that build AI solutions for clients). Filter by service type, industry, tools, or region.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "industry": {
            "description": "Industry served e.g. SaaS, Finance, Healthcare, Manufacturing",
            "type": "string"
          },
          "limit": {
            "default": 10,
            "description": "Number of results to return, max 20",
            "type": "number"
          },
          "query": {
            "description": "Free text search across agency names and descriptions",
            "type": "string"
          },
          "region": {
            "description": "Region served e.g. North America, Europe, Global / Remote",
            "type": "string"
          },
          "service": {
            "description": "Service tag: ai-agent-building, workflow-automation, ai-strategy, chatbot-development, custom-integrations, voice-agents, rag-development, data-pipeline, prompt-engineering, ai-training",
            "type": "string"
          },
          "tool": {
            "description": "Tool or platform specialization e.g. openai, anthropic, langchain, make, n8n, zapier",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_agencies"
    },
    {
      "description": "Search the AI Agent Index for agents matching specific criteria. Returns structured agent data. Use this to find agents by category, sub-type, pricing model, integration, capability tag, or MCP role (mcp=server finds agents that expose an MCP server).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {
          "agent_type": {
            "description": "Sub-type within a category for precise matching. Examples: prospecting, ai-sdr, crm, sales-engagement (sales); helpdesk, ticket-resolution, chatbot, voice-agent (support); academic-research, deep-research, vertical-research, data-intelligence (research); paid-media, seo, content-creation, social-media, email-marketing (marketing); ide-assistant, autonomous-engineer, terminal-agent, vibe-coding (coding); recruiting, hris, interviewing, hr-automation (hr); workflow-builder, multi-agent-orchestration, ai-teammate, knowledge-management, browser-automation, office-agents (workflow). Use list_categories first if unsure of available types.",
            "type": "string"
          },
          "capability": {
            "description": "Capability tag e.g. lead-generation, ticket-resolution, code-generation, web-search, autonomous",
            "type": "string"
          },
          "category": {
            "description": "Category slug: ai-sales-agents, ai-customer-support-agents, ai-research-agents, ai-marketing-agents, ai-coding-agents, ai-hr-agents, ai-workflow-agents, ai-customer-success-agents",
            "type": "string"
          },
          "integration": {
            "description": "Integration name e.g. HubSpot, Salesforce, Slack, Zapier",
            "type": "string"
          },
          "limit": {
            "default": 10,
            "description": "Number of results to return, max 20",
            "type": "number"
          },
          "mcp": {
            "description": "MCP role: server (product exposes an MCP server agents can connect to), client (connects out to external servers), both, or none",
            "type": "string"
          },
          "pricing": {
            "description": "Pricing model: free, freemium, subscription, usage-based, custom",
            "type": "string"
          },
          "query": {
            "description": "Free text search across agent names and descriptions",
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "search_agents"
    }
  ]
}

What the leaf hashes

{"body":"e057fb5c2f2caf025d56694b50446b1c94bac33c07cc507e525b40a97b5d5182","id":1057474,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793317112997573,"prev":573075,"subject":"ecb9130a-8dce-4d3e-8189-9a51a78056f9","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (242798 rows).

  1. 0x369ac16c2a170fda1ce3c167f9585c7e7fe131e58c0cd58b534b7a271c4a775a
  2. 0x2199566ac8b48a45cfc4d3023cd2f57f3b16ee3baaedca50f45c0a6af13906bf
  3. 0xd351e0048351f5ac41697f7daec8331f37e57943020f115fa99483d60d93f1de
  4. 0x05215a83d6379db4d0458358901f19762470759bc4cbe2c92dc369809f10269c
  5. 0x34aff18ab443284720ce696f1096295a6ff34ec23dcb17940877512e0b558138
  6. 0xcb149c95b69203872e2aa11f951a9c523b1ff800c7e4ac80de14e9dce6087737
  7. 0x59138cdd7d2c670875bf16da01182d4f4f763fc3c979c6a58bb2316eae1ddec8
  8. 0x6f87a7e7a7b709f58a10e3a5c18f01e967b72ec3920b083321bd1759489d7ad4
  9. 0x81fcedbb11e64d083c097cde9be36a6d41f2e8e787bf1d5cb6cda957b0766e7d
  10. 0x693b2ca635519581484754aa6d5fd2f54cd2f1fb6113c643660409d2b90c0c78
  11. 0x53282c1716424f6946272b25464d6a55e3b532b8a5ee216446290bf589f0525a
  12. 0xf263f333c8c485cf5337038fbf8ef7f659451dc5ca8df99ec28193bd7fd622af
  13. 0x809996646fa50ff3941cc94a2858e71348d102933af591ad4e5ca0614e67f0a4
  14. 0x14b86aca7e0af6917fa29c5b89b8f3eab1f2340a671c3d06e6ac6a34fd3a07ee
  15. 0xa03bd318a195be3bd16f335c7e189443bea4f1f439087a7ac19afec9fa97f9be
  16. 0x1c3764b490d23b94e5ac838c89f8d3850dedb0819196f367da2479c7a88bf2c0
  17. 0xd76435ead496863d8b0bfab3434f54cd11da3c49d104fc4064b9cb3381567bbd
  18. 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07
Day root
0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c
Chained
0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6
Published
On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1

How to check it · This row as JSON