Evidence row 306415

What was observed

{
  "count": 10,
  "tools": [
    {
      "description": "The columns, which of them are numeric, the row count and the provenance banner of the The Water Hub dataset. Call this first to learn the schema.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_columns"
    },
    {
      "description": "The rows of the The Water Hub dataset whose column is any of the given values, in the order given — for \"X vs Y\" questions.",
      "inputSchema": {
        "$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 The Water Hub dataset. Read this to attribute a figure correctly.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_provenance"
    },
    {
      "description": "The rows of the The Water Hub dataset where a column equals a value exactly (case-insensitive).",
      "inputSchema": {
        "$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 The Water Hub dataset whose cells contain the query (case-insensitive), up to 50.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "limit": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "text to look for in any cell",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "dataset_search"
    },
    {
      "description": "count, min, max, mean, median and sum of a numeric column of the The Water Hub dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).",
      "inputSchema": {
        "$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 The Water Hub dataset by a numeric column — \"which is the most/least X\".",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "ascending": {
            "description": "true for the lowest first; default highest first",
            "type": "boolean"
          },
          "column": {
            "minLength": 1,
            "type": "string"
          },
          "limit": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          }
        },
        "required": [
          "column"
        ],
        "type": "object"
      },
      "name": "dataset_top"
    },
    {
      "description": "Read first. States plainly what submit_enquiry does on The Water Hub: it starts an enquiry with human providers who quote directly. Nothing is bought, ordered or paid; no quote is guaranteed; it is free. Also returns who receives the details, the consent wording, and how the person confirms.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "enquiry_describe"
    },
    {
      "description": "Every field of the The Water Hub 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": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "enquiry_fields"
    },
    {
      "description": "Submits an enquiry to The Water Hub — NOT a purchase, NOT a guaranteed quote. Step 1: call with the answers (keyed by field key from enquiry_fields) and consent=true; it validates and returns a summary, the consent line and a confirmation token — show the person the summary and the consent line. Step 2: only if the person agrees, call again with the same answers, consent=true and the confirmation token; the enquiry is then submitted, and the person receives an email with a link they must click before any provider sees it. Consent means the person has read and agreed to: \"Send my contact details to up to three water treatment companies, chosen by The Water Hub, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.\"",
      "inputSchema": {
        "$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: Send my contact details to up to three water treatment companies, chosen by The Water Hub, who'll contact me directly. I'll be emailed each firm's name as my details go to it, and can stop any more firms getting them.",
            "type": "boolean"
          }
        },
        "required": [
          "answers",
          "consent"
        ],
        "type": "object"
      },
      "name": "submit_enquiry"
    }
  ]
}

What the leaf hashes

{"body":"bdc6a9e3c8d0314c4f51d82394de6002b75fe4e19f797524b82aa848985caad1","id":306415,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793056976743140,"prev":null,"subject":"e78e0488-f00e-43a9-a0a8-335cdd832901","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x54efd2248f54d726b16669e9c9a571cc3b53866d49f74a1a76846456e1520130
2. 0xb65f54d20824c3cc32443dbddcf859e79583e7354d33156c17f66e7310d49360
3. 0x94cb3a83d7fbacb74bf3fb0b3a9a0c8f70835310a803bc2d290a7716bf95e8d2
4. 0xe238889bc141e41c2ef97cddc4d3dc4e1f6dc5965b836fe924a4d1f167bb4bda
5. 0xe0d31e7d2cab9dd3c1021e23d74538937cb96775e74fa020aa0450992f893cd8
6. 0x200816c184ce26ba4d317579ce53f2b39b38a87bf5fc078db20eb5012c4b8be3
7. 0x86b8f685836b08c39bcd6f65a00d2c2abefbc42eb7d200380ed45c7c50cdd462
8. 0x0a95466af3f9fca8bd6d0496ad67dd297a4416f0839862b6f23230209e55357a
9. 0x676d16479f4b0971511125f567e45fd6b7f3901b33f7d8229532f348fd0c04eb
10. 0x8e8c9b31337ede7207f8e4fe9c7366ca7f86d7b9cb07433912898a3bd07a6373
11. 0xec824c3c9c635c0935294afc42b42d41176d63a67e608b45abf49b05e262e664
12. 0x774d66905c34a786c6d34bf1c4491dbdb08f534c9eb5f76cf3de03385d28f388
13. 0xd830c52e1e8095e014510110592485afcb02b9c9a36f85653e4891a8de941246
14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae