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Evidence row 578670

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint e88ca1a9-2ca6-4401-9a1a-23b2b98f8466
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
510cf2374dfc2d1afdabf75b3710c723f84feef9361d10ad05454f8aa97fd179
Leaf
0xd7b9906869fc2fca3547b7bc0ef189bbb8388f82c07b28905a5d205b3f28944d

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "Produce a deterministic, indicative AI-readiness assessment from the supplied organization profile.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "current_tools": {
            "description": "Current business tools",
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "employee_count": {
            "description": "Number of employees",
            "exclusiveMinimum": 0,
            "type": "integer"
          },
          "industry": {
            "description": "Client industry",
            "minLength": 1,
            "type": "string"
          },
          "pain_points": {
            "description": "Current operational pain points",
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "required": [
          "industry",
          "employee_count"
        ],
        "type": "object"
      },
      "name": "assess_ai_readiness"
    },
    {
      "description": "Submit a consultation request preview. This legacy flow does not send email, create calendar events, or guarantee a booking.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "company_name": {
            "type": "string"
          },
          "contact_email": {
            "description": "Contact email",
            "format": "email",
            "type": "string"
          },
          "contact_name": {
            "description": "Contact name",
            "minLength": 1,
            "type": "string"
          },
          "employee_count": {
            "exclusiveMinimum": 0,
            "type": "integer"
          },
          "industry": {
            "type": "string"
          },
          "preferred_times": {
            "items": {
              "type": "string"
            },
            "type": "array"
          },
          "service_package": {
            "description": "Relevant AgencyAI service package",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "service_package",
          "contact_name",
          "contact_email"
        ],
        "type": "object"
      },
      "name": "book_consultation"
    },
    {
      "description": "Read AgencyAI's current AI operations service catalog and return packages matching a client profile.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "company_size": {
            "description": "Number of employees",
            "exclusiveMinimum": 0,
            "type": "integer"
          },
          "industry": {
            "description": "Client industry",
            "type": "string"
          },
          "pain_points": {
            "description": "Current operational pain points",
            "items": {
              "type": "string"
            },
            "type": "array"
          }
        },
        "type": "object"
      },
      "name": "get_service_offerings"
    }
  ]
}

What the leaf hashes

{"body":"510cf2374dfc2d1afdabf75b3710c723f84feef9361d10ad05454f8aa97fd179","id":578670,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793143103589407,"prev":null,"subject":"e88ca1a9-2ca6-4401-9a1a-23b2b98f8466","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. 0xd7b990b8390a9c6ac1395a9b6d0986c8c7d00126f83737fb8081bdf9b646a15c
  2. 0xd9e606b2f16faad6d754d89235e4d9c012a76551db5c86b52572ce376d06bd01
  3. 0xb2d4b95c6b5d3d5e98663fa97e06d99f80e9e587e92e578a88542eb6c0b3c721
  4. 0x472842a70162fe6eb2da7927629f38a44ec377b5e9196f1e6323335a7d4d063a
  5. 0x26186dd0dde711470ddaf56ef91908c3d7b6bd4e1609a7ea5771e0a35a4c90dd
  6. 0x3ffefcfeb95a2ff3247912659ad0eeeb1096159718ee94b1d67ad48ee9f87eb5
  7. 0x37ebba22b7a9a390b052d94a580ae336f5511a3474c6fabb2e50feac50a08082
  8. 0x1067d677ea85e5bb5ce3155c28c0d9cc43a321dad56c43b8e421255b208940b0
  9. 0x2237ec1234be9295f650e1cdfbdbb3ad3f92acdd1c386d4b50179119578d8bd8
  10. 0xeb2c9a0077c4e6cc1821748113ffc3105b5e1b3ac82ddfc34e05c32d8a74e8e8
  11. 0x807e77d42f625dac358f37d10caacce52866320df38cdced6736077e9aa00004
  12. 0x849261a3d4118e022f8782d6166f4778e44fb4b1ae758bb02cd94e56b5df0896
  13. 0x13692b463800846f580925c8ea49b43f92b7df3f9e8d32b8a18802640cca3780
  14. 0xd59f3e577867f5105dd7f75598f16da8286185e426dfcdafb84e733fde2b2492
  15. 0x24e3e2bb8ee1e8d20756de35f0e0c4ec8eb1f193bd2cf3f077ee1f92f211c34d
  16. 0x8745bd887f5ce9f7a49558fd2b04cdcd97a05ea9f8a23f62d0e80cb13d328b0f
  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