addrbookFor publishers
← The evidence ledger

Evidence row 573075

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint ecb9130a-8dce-4d3e-8189-9a51a78056f9
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
d653b5fdda24d9887f63880cf706e7a8ccbe8eb34b8346f1f7eeae54488b9994
Leaf
0xd3a610c2a780aac63bd579240e50f6784af9bca40d3175e80eadd201e26f6b19

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, 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":"d653b5fdda24d9887f63880cf706e7a8ccbe8eb34b8346f1f7eeae54488b9994","id":573075,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793140938312805,"prev":null,"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 (273461 rows).

  1. 0xd3a502342186c9144c629cb6d783997ba44cb5822063b4518945ac32e997d00c
  2. 0x7871b3463d95ae0e78b77cb744620463666b670f075de6fbeb580565e59c3e41
  3. 0x0b6afa09503c5378ac39a04641ecad99d9772ba8950e0d19cc65125f0fc3b7d4
  4. 0x50735d7d90ad01d21f40e3db5f867508529c30d028943204dcf80d8cd91b344e
  5. 0x713768613f3d66544fdb6ac550044dec86ac10e6085a0295f86d21ff005e1df1
  6. 0xd2e008ac9d16d706f7134d3b24c27a80d4e1ca55ac9a7782d363702800105352
  7. 0x6ddf49e680a917e01e8265e50d83b02baf11e6eb4089e6de85be11ecd919329c
  8. 0x3abd366fa890ee291b88e832d02f968e41fc234b835df199a36848ae18484e7a
  9. 0xc95b6cce7527643fe83a97a95c6011126a5d8830dab04668eb6ba935c92a96f2
  10. 0x6a1386a689a26367b568f88e377530a2bd553e06af1a26049e7c59700ecf3e60
  11. 0xfffb2250987be2ab1e65ada5e7362185183c6bbed9d78650d53d2ffb2c007dd0
  12. 0xba42125112c82614fda070baa3201b37bda47b7485d074641cdd174984f8ddaf
  13. 0x3b3e4fecead12aaf883ab4f21b6e21efddd0a8d055ced058cb62bcdca8a6c9d6
  14. 0x8f676edfb4faaa290229d8f4f69ab721fc627424463d62f5146b3d1ca7f2f0c6
  15. 0x969cd44e5a4e8dc3110540398fbf689659eb51df735c1cda5d8f021ef9ff5683
  16. 0xa94627de1af0e823832e05a9069b304ecccb8c0cdb8f9cfc4f2039bfb9799dc5
  17. 0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON