Evidence row 530147

What was observed

{
  "count": 10,
  "tools": [
    {
      "description": "The columns, which of them are numeric, the row count and the provenance banner of the Insurance by Profession dataset. Call this first to learn the schema.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_columns"
    },
    {
      "description": "The rows of the Insurance by Profession dataset whose column is any of the given values, in the order given — for \"X vs Y\" questions.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "column": {
            "minLength": 1,
            "type": "string"
          },
          "values": {
            "items": {
              "minLength": 1,
              "type": "string"
            },
            "maxItems": 10,
            "minItems": 2,
            "type": "array"
          }
        },
        "required": [
          "column",
          "values"
        ],
        "type": "object"
      },
      "name": "dataset_compare"
    },
    {
      "description": "The source, the date it was computed, the licence and the citation for the Insurance by Profession dataset. Read this to attribute a figure correctly.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_provenance"
    },
    {
      "description": "The rows of the Insurance by Profession dataset where a column equals a value exactly (case-insensitive).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "column": {
            "minLength": 1,
            "type": "string"
          },
          "value": {
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "column",
          "value"
        ],
        "type": "object"
      },
      "name": "dataset_row"
    },
    {
      "description": "Rows of the Insurance by Profession dataset whose cells contain the query (case-insensitive), up to 50.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "limit": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "text to look for in any cell",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "dataset_search"
    },
    {
      "description": "count, min, max, mean, median and sum of a numeric column of the Insurance by Profession dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "column": {
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "column"
        ],
        "type": "object"
      },
      "name": "dataset_stats"
    },
    {
      "description": "The highest (or lowest) rows of the Insurance by Profession dataset by a numeric column — \"which is the most/least X\".",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "ascending": {
            "description": "true for the lowest first; default highest first",
            "type": "boolean"
          },
          "column": {
            "minLength": 1,
            "type": "string"
          },
          "limit": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "column"
        ],
        "type": "object"
      },
      "name": "dataset_top"
    },
    {
      "description": "Read first. States plainly what submit_enquiry does on Insurance by Profession: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "enquiry_describe"
    },
    {
      "description": "Every field of the Insurance by Profession enquiry: key, label, type, whether required, help text and the allowed options where there are any. Pass answers to submit_enquiry keyed by field key.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "enquiry_fields"
    },
    {
      "description": "Submits an enquiry to Insurance by Profession — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: \"By submitting you agree Insurance by Profession passes your details to an FCA-authorised insurance broker or insurer, who may contact you about cover.\"",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "answers": {
            "additionalProperties": {
              "type": [
                "string",
                "number",
                "boolean"
              ]
            },
            "description": "the person's answers, keyed by field key",
            "type": "object"
          },
          "confirmation": {
            "description": "the confirmation token from step 1, after the person has approved the summary",
            "type": "string"
          },
          "consent": {
            "description": "true only when the person has agreed to: By submitting you agree Insurance by Profession passes your details to an FCA-authorised insurance broker or insurer, who may contact you about cover.",
            "type": "boolean"
          }
        },
        "required": [
          "answers",
          "consent"
        ],
        "type": "object"
      },
      "name": "submit_enquiry"
    }
  ]
}

What the leaf hashes

{"body":"36f17e98f274f6fa93435e70aa1f7da4cd1e6ad6413ddd77a1c009112846f73e","id":530147,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793125967321633,"prev":null,"subject":"67fb4f23-c18d-4cc3-95df-d79baed8dbe1","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-27 (273461 rows).

1. 0x717abb546ebff44167433ceee000616f0f89963480cab735245d2d274af8fa7f
2. 0x9907ddd198aed5f23f6eaee6a5c7c3dce5d32fa3c164756b7dbd15857fc1c23a
3. 0xb6218d6bac03605e9bc1160119118fb61228735ebfd4a8091e9d405dc47775aa
4. 0x7827e30822d9da27b33aeba94d14807335121e7574ac07ecc8a227e5ec8bcf7d
5. 0x4edb7ed53e21d4962fd7024bf319fec73c8a5b82e7453db547bf87c2eb55aa9c
6. 0x505e73e259b0900e9343b78d4122835d38be957b9770a96803ee8fd3b8321edc
7. 0x9b1b96c7b7d32e4a80d96152680f4349ca42ca71819ec0115f2c675ccef3e947
8. 0x36a89de7e37d573929b975257fda0ea6e783ffc9281ed35fa0c0c420eaa6dec9
9. 0xcfb519a35e7f40253b59fe9a2c8666223a6bd1def1d2e01780a92ed4dc62e7bd
10. 0x56e9f8980db2a3e15f26c8a16e5a1a3ff3a2108513926ff9f1bb83e4c93ffd96
11. 0x36f1c88d0589e24531b7c2fe9c066893e7b891db974b9e8f5e5ebc201c6cf9ef
12. 0x8a2168d13e43e2c8b0f508ca779f90beef60501499eeab439eb7d23816a97bc4
13. 0x2926e99aefa0ff2e14a67a3ae10a7f6e753ce4b799c6fe531f8cbf8d33b31a66
14. 0xb2ae53d841a55a805fb4078b1a7d44e08a81aba4be3690bac3a5b4c366bf39da
15. 0x275720ecabb68df33eee92ae4fd70572a8d952d6c61c061c2869cfc3217aa5c5
16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4