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Evidence row 559558

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 7217d98b-1e88-41f3-a338-a3b720e9f764
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
4512d4e0c82e7b950817c224051d4be0ef1dcfd9ef71c8e579668172c48fa3fb
Leaf
0xb5fac463d6a44560e47b0d8e29e0e8dbffe4a71336784e36230abcd7aed0a24f

What was observed

{
  "count": 9,
  "tools": [
    {
      "description": "Get one SynergyBoat case study by slug from list_case_studies.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "slug": {
            "description": "Case-study slug from list_case_studies.",
            "type": "string"
          }
        },
        "required": [
          "slug"
        ],
        "type": "object"
      },
      "name": "get_case_study"
    },
    {
      "description": "Get a factual overview of SynergyBoat: what the company does, founders, contact channels, service areas, and verified client rating.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "get_company_overview"
    },
    {
      "description": "Get one SynergyBoat service in full, by id from list_services.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "id": {
            "description": "Service id from list_services.",
            "type": "string"
          },
          "locale": {
            "description": "Optional localized content variant. Defaults to the global English content.",
            "enum": [
              "en-US",
              "en-GB"
            ],
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_service"
    },
    {
      "description": "List SynergyBoat AI capabilities and use cases as shown on the AI hub: slug, title, category, and overview.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "list_ai_use_cases"
    },
    {
      "description": "List SynergyBoat case studies: slug, title, client, industry, and outcome summary. Use get_case_study for one in full.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "limit": {
            "description": "Max results (default 20).",
            "type": "number"
          }
        },
        "type": "object"
      },
      "name": "list_case_studies"
    },
    {
      "description": "List SynergyBoat services as shown on synergyboat.com: id, name, and outcome summary for each. Use get_service for full details.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "locale": {
            "description": "Optional localized content variant. Defaults to the global English content.",
            "enum": [
              "en-US",
              "en-GB"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "list_services"
    },
    {
      "description": "List the SynergyBoat team as shown on synergyboat.com/team: name, title, whether the person is leadership, expertise, and public profile links.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {},
        "type": "object"
      },
      "name": "list_team"
    },
    {
      "description": "Request a SynergyBoat demo (name, email, consent; optional company, context, and AI use case of interest). Creates a lead the team follows up on. Requires explicit user consent.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "company": {
            "description": "Optional company name.",
            "type": "string"
          },
          "consent": {
            "description": "Must be true to confirm consent to submit lead details.",
            "type": "boolean"
          },
          "context": {
            "description": "Optional context on the workflow/bottleneck to discuss in the demo.",
            "type": "string"
          },
          "email": {
            "description": "Work email used for follow-up.",
            "type": "string"
          },
          "name": {
            "description": "Full name of the person requesting the demo.",
            "type": "string"
          },
          "useCase": {
            "description": "Optional AI use case of interest (slug or title).",
            "type": "string"
          }
        },
        "required": [
          "name",
          "email",
          "consent"
        ],
        "type": "object"
      },
      "name": "request_demo"
    },
    {
      "description": "Submit a contact enquiry to SynergyBoat (name, email, enquiry, consent; optional company). Creates a lead the team follows up on. Requires explicit user consent.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "company": {
            "description": "Optional company or organisation name.",
            "type": "string"
          },
          "consent": {
            "description": "Must be true to confirm consent to Privacy Policy and Terms of Service.",
            "type": "boolean"
          },
          "email": {
            "description": "Business or personal email for follow-up.",
            "type": "string"
          },
          "enquiry": {
            "description": "Enquiry details, goals, and what support is required.",
            "type": "string"
          },
          "name": {
            "description": "Full name of the person submitting the enquiry.",
            "type": "string"
          },
          "transcript": {
            "description": "Optional transcript captured from voice or chat interactions.",
            "type": "string"
          }
        },
        "required": [
          "name",
          "email",
          "enquiry",
          "consent"
        ],
        "type": "object"
      },
      "name": "submit_lead"
    }
  ]
}

What the leaf hashes

{"body":"4512d4e0c82e7b950817c224051d4be0ef1dcfd9ef71c8e579668172c48fa3fb","id":559558,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793135403793119,"prev":null,"subject":"7217d98b-1e88-41f3-a338-a3b720e9f764","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. 0xb5fa7381dafe0fbab8a9ee1321919fee77858a329d2dbc1905d1fa6e7e8f5842
  2. 0x078e6bcf2e2d7b2254d150f539cfa2300902c92d671125d3c1809f23f4c45152
  3. 0x425394738ea5ca206dda8702615e6e4f6273395d00e8013ac0c6a5b632b77f00
  4. 0xd27ea3dcb45dd8478417808753a7fe4dc966e2747280cad335cb32fb61434177
  5. 0x3ff7c894716532ce898c47ef05c5876a196a504e18a838ec99585b388514dc8c
  6. 0xed4e929683aaa0d9d397d687701854e9040b2363510ba51f2d0b54d5e0437ecb
  7. 0x2d778d51bcffd13ca985deb15c637c4865739b1db3b936163fa2ba271c7fe07d
  8. 0x12c383fbaf19794d526d25a6ca5c0c849bc456dbf6c5c316d016c129ac9bfa8b
  9. 0x18e05f919c390997c82b2792c098c5c489ea1863ce6e3bbaf52b1b0e4985b534
  10. 0x9c42c977c06234c540c95a4c1206b1e9d0f0d1f4e7597e69e06a73f9c196235e
  11. 0x805bcaa1830ca4b377189e2a58349e74a8199899ac6e62fc0e8e51150ca56185
  12. 0x6e2f1bf13e63baa5946a254cc655175b50df835d2a257befe1759b4bc17ef93c
  13. 0xdb8e341e9690aa686b29432c7b868b3859fb692c3ae3a679b8bc1219ebe3a597
  14. 0x87cb8935612c40b569de008a9bf8218cd24a06f74a7364a1654613d972fe00ed
  15. 0xec7bb68216a4deb1960acfbbd75da88f7e468b58adb9cf3ec62f2790e46508b3
  16. 0x64c405a28e8819716221eb2529fe4ce277ab08025e17e685cbd5ece75ceb75c7
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON