Evidence row 517708

What was observed

{
  "count": 7,
  "tools": [
    {
      "description": "The columns, which of them are numeric, the row count and the provenance banner of the BreakerDesk dataset. Call this first to learn the schema.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_columns"
    },
    {
      "description": "The rows of the BreakerDesk dataset whose column is any of the given values, in the order given — for \"X vs Y\" questions.",
      "inputSchema": {
        "$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 BreakerDesk dataset. Read this to attribute a figure correctly.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "properties": {},
        "type": "object"
      },
      "name": "dataset_provenance"
    },
    {
      "description": "The rows of the BreakerDesk dataset where a column equals a value exactly (case-insensitive).",
      "inputSchema": {
        "$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 BreakerDesk dataset whose cells contain the query (case-insensitive), up to 50.",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": false,
        "properties": {
          "limit": {
            "maximum": 50,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "text to look for in any cell",
            "minLength": 1,
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "dataset_search"
    },
    {
      "description": "count, min, max, mean, median and sum of a numeric column of the BreakerDesk dataset (grouping commas and currency are handled; non-numeric rows are excluded and counted).",
      "inputSchema": {
        "$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 BreakerDesk 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"
    }
  ]
}

What the leaf hashes

{"body":"4caeb495a35e09608de42c3085e8232ce1b5817f879babffb80bbfccd47959a8","id":517708,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793121251338300,"prev":null,"subject":"653843dc-94c9-44b8-a2c7-00810ae5832d","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. 0x2f5cffb5e61b7d952743cdaa8bd73c4cac6f2b6b9460d354909832ce59e2926f
2. 0x831be0ced54369cc290fba998e042f9d377c6c11f2da4608a2acfe86ab0403c0
3. 0x3fdbcc17e2ec4e4ff8e3755b119fa7941785154545803d8a80f4ae668540b908
4. 0x18056d9b372f7553da321bad2b4f3abfdb8f09edc47e0784e10ba4eac5c967bd
5. 0x3a193672c1cbc2f3825d1d0201949387214ee127c05de2817d8021eb4b5aeb18
6. 0xbacaa4438f12dca86813f1423ad975b3a16b1fbb538b4765a84f49657761a240
7. 0xeb667096d232f8b5502523589a086f8e55b5be6ff6c6976f2129cd92b873d0e9
8. 0x8924aafcd706556d88ef54e493d23675a27cfce9a21a9686cad1c9c8ec1638ea
9. 0xc93af8c23419c12f056d022b6aed53f74b8c1e3804fc7797fe69a83df6a341bd
10. 0xcb2ca9ab824056f7e354a29fb0c627eccacecbba9628e903cc3960727611d8bb
11. 0xebaa56a29a2dfdf39f8c55fe4433bd513a26a783d93a8d85e51192ee9bb2860f
12. 0x2d9c2517fb6dcdc0ce42dd3a93f7e33064509cbed0a9132fb1209ec8f33ef0ab
13. 0x2a25cd9926d8f2ef4726fd2a80f77b1ca202b6c3ca56aeb2f520555c93efd434
14. 0x595de2dea3b8fa56dbd6142dd78ae79f3e7169c631e41a844b100613abb3e430
15. 0x8360ee1105e4d9f9312067cbbfd47c69c5948665ae582b9684a580c8f4e199e1
16. 0x52efa60e0c3d8525486d2310eb3b6b566c9677c64fd1f819edb072cf101bcbdb
17. 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4