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Evidence row 1052058

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 45372a24-fd00-46d4-be07-52c785c0bb6e
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
b2e86a2db2378b957d1ef3ad3638080e69413eca8464cc6d8bc067081cd54b2f
Leaf
0x5c8e58238fef363f11c88835a62e6c3b953c89c92cb9e8913cbd666cab811986

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Full Cofounderbase profile for one agency by slug (from search results): location, tools, use cases, industries, services, published prices, case studies, partner certifications and score.",
      "inputSchema": {
        "properties": {
          "slug": {
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_agency"
    },
    {
      "description": "Ask Cofounderbase to introduce the user to up to 5 agencies. Only call this when the user explicitly asks for an introduction and gives their own name and email. A person reviews every request; the user gets one confirmation email.",
      "inputSchema": {
        "properties": {
          "agency_slugs": {
            "items": {
              "type": "string"
            },
            "maxItems": 5,
            "type": "array"
          },
          "brief": {
            "description": "What they need built",
            "type": "string"
          },
          "budget": {
            "type": "string"
          },
          "company": {
            "type": "string"
          },
          "email": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "timeline": {
            "type": "string"
          }
        },
        "required": [
          "name",
          "email",
          "brief",
          "agency_slugs"
        ],
        "type": "object"
      },
      "name": "request_intro"
    },
    {
      "description": "Search 960+ evidence-checked AI automation, internal-tools and AI-app agencies on Cofounderbase by a plain-English need. Optional filters: country, tool (e.g. n8n, Make, Zapier, Retool, Vapi) and max starting budget in USD. Returns ranked agencies with a reason for each match and a profile link.",
      "inputSchema": {
        "properties": {
          "budget": {
            "description": "Max published starting price in USD",
            "type": "number"
          },
          "country": {
            "description": "Country name, e.g. \"United Kingdom\"",
            "type": "string"
          },
          "limit": {
            "maximum": 10,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "What the buyer needs, e.g. \"AI voice agent for a dental clinic\"",
            "type": "string"
          },
          "tool": {
            "description": "Platform the agency should build with, e.g. \"n8n\"",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_agencies"
    },
    {
      "description": "Highest-scored agencies on Cofounderbase for a use case (e.g. \"Voice agents\", \"Chatbots\", \"RAG/knowledge base\", \"CRM automation/sync\"), a tool (e.g. \"n8n\") and/or a country.",
      "inputSchema": {
        "properties": {
          "category": {
            "description": "Use case, tool or industry",
            "type": "string"
          },
          "country": {
            "type": "string"
          },
          "limit": {
            "maximum": 20,
            "minimum": 1,
            "type": "integer"
          }
        },
        "type": "object"
      },
      "name": "top_agencies"
    }
  ]
}

What the leaf hashes

{"body":"b2e86a2db2378b957d1ef3ad3638080e69413eca8464cc6d8bc067081cd54b2f","id":1052058,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793305387902275,"prev":null,"subject":"45372a24-fd00-46d4-be07-52c785c0bb6e","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. 0x5c8e7560aba6b37012007edd6c5845d5c9085ea8c62e6d878e2a1440f816ef38
  2. 0xb9948271b3c32dd4beaea021d998a72e3cca3d292e836e46e997ee80c7370df0
  3. 0x11d0941023549aa80fe7f2b0edbdfdcc7adb20b7add4cda63b15e0712c1e366a
  4. 0x262c4bff89d2f0041a6850b1f6e259c202f9370d14f0b8e74ca5c94943e6ac65
  5. 0x2323632674b8ee0c7fb81ff9f71f4f477f163a6e78931383283fbefdbb6182f8
  6. 0xe5c23cc13bfb53e48e5b8fed2411333edbb6a30b9f4db1e4a2c85882513adbbb
  7. 0xe01671fbfcd60fc4b94637edb15f6c5fe48d0ed8e83ced24cb67bca2ca815c18
  8. 0xd703921e286e5f64cb54136c06e94ba474514cdd4e33f08e45c39220c311b2e8
  9. 0xf2932464b226a9092acaf6931c1dd723e401cd86c74e4171084127a77f8be0fa
  10. 0x1b0bb078d680c451b56ab8baadb27a3b6b73743257d57be8093dcb6e377c226f
  11. 0x5faad7449a1638b711de0a8de2c7b7a92f33b45775e68084a47cc16ee7231809
  12. 0xf2cc4729510632c771067538b85013ba091033492f737a7205b9fdcf15a8d172
  13. 0x03bcddbafdd5c3b2cfd0ed77db8b385d1daefb8582c49039e5b2d78c95e4b697
  14. 0x3f2650fbc651fa3eec11adb4b123cd97e6e8054668be9e574fb88fd72c05303d
  15. 0x5c72917224317e5d0d7a0d4ada19337530fcd8b513d6fc46866876f7844efe17
  16. 0x976395aaca1b771b7e37710dee4157412909d2398c44e306a2e1e3fe83b984fd
  17. 0x91f12a2db1e2c1be07cbe4de3981a37a33051a36d3c3eee5a260804add6d1d75
  18. 0xd56e61af23709ed9f460471e3c08400c0142ee83e1fd9057e46350d12edf9c07
Day root
0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c
Chained
0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6
Published
On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1

How to check it · This row as JSON