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Evidence row 570650

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint b8385c8a-5a26-4d3e-9f22-94efc01a1992
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
9aaa8d27dd614be3d388083f5ea16e5d0fecbd34954e30eb5d16414fbfb93b70
Leaf
0xae197be570593f029e2907ba2c3dee97bd4d1627770c6da4450b946f5bce4e79

What was observed

{
  "count": 4,
  "tools": [
    {
      "description": "Full metadata for one dataset: description, source, period range, dimension labels, default view and covered countries.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "id": {
            "description": "Dataset id from search_catalog.",
            "type": "integer"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_dataset"
    },
    {
      "description": "Time series values for one country from a dataset (oldest first). Optionally pick a series by exact dimension values (from inspect_dataset) and a start period such as 2015, Q1/2015 or 01/2015.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "Country, e.g. 'Poland'. Defaults to the dataset's default country.",
            "type": "string"
          },
          "dim1": {
            "description": "Optional exact value of dimension 1.",
            "type": "string"
          },
          "dim2": {
            "description": "Optional exact value of dimension 2.",
            "type": "string"
          },
          "dim3": {
            "description": "Optional exact value of dimension 3.",
            "type": "string"
          },
          "dim4": {
            "description": "Optional exact value of dimension 4.",
            "type": "string"
          },
          "id": {
            "description": "Dataset id from search_catalog.",
            "type": "integer"
          },
          "max_points": {
            "description": "Max points, most recent kept (default 200).",
            "maximum": 500,
            "minimum": 1,
            "type": "integer"
          },
          "period_from": {
            "description": "Optional first period to include, e.g. '2015'.",
            "type": "string"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "get_series"
    },
    {
      "description": "Show one dataset's dimensions, default series and the latest few values for a country. Use after search_catalog to check the dataset fits before pulling the full series.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "Optional country, e.g. 'France'.",
            "type": "string"
          },
          "id": {
            "description": "Dataset id from search_catalog.",
            "type": "integer"
          }
        },
        "required": [
          "id"
        ],
        "type": "object"
      },
      "name": "inspect_dataset"
    },
    {
      "description": "Find official labour market datasets (Eurostat, OECD, World Bank, IMF, WHO, national statistics offices). Use first to get dataset ids. Optional country and source filters. Returns dataset cards, not values.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "country": {
            "description": "Optional country name to prefer datasets covering it, e.g. 'Germany'.",
            "type": "string"
          },
          "limit": {
            "description": "Max results (default 8).",
            "maximum": 16,
            "minimum": 1,
            "type": "integer"
          },
          "query": {
            "description": "What to find, e.g. 'unemployment rate' or 'GDP per capita'.",
            "type": "string"
          },
          "source_name": {
            "description": "Optional source, e.g. 'Eurostat', 'OECD', 'World Bank', 'IMF'.",
            "type": "string"
          }
        },
        "required": [
          "query"
        ],
        "type": "object"
      },
      "name": "search_catalog"
    }
  ]
}

What the leaf hashes

{"body":"9aaa8d27dd614be3d388083f5ea16e5d0fecbd34954e30eb5d16414fbfb93b70","id":570650,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793139853264002,"prev":null,"subject":"b8385c8a-5a26-4d3e-9f22-94efc01a1992","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. 0xae1afb2572bb5e9a5cda9dad5e2c1c82ce0948d2784a02b601c5d205f27ca2af
  2. 0x4d63e240c578da9e79bddc8b60a6c3232a4cee0cc29f28f5c15bbe663c0462f9
  3. 0x1de363e39e90173cf7e7962d3ae9178dbc9df0aa76483f4f024268bee2835d1a
  4. 0xd273bdb1be43d88e553ce58c035b784d7f37187591df7c819b3d53c46bd81da0
  5. 0xf4fea1f6b38195ededa183e5f1997a255bfd1a899aa88ca2ed605a250e6c2102
  6. 0xc66c56147c3fbfddad9f7ec57416bffb7f4ca4e6942edfe839820d3509f51be5
  7. 0xd34a6da8f1c9038b9ab665e7e64d203c68e31d27faf46af33d967733c0ce5dd3
  8. 0xc5a5bc8e95259faed8f16fcc3b4326a18714d70640575a97fb883f96258a3777
  9. 0xda506bb0b44c603f2cff0ad0c61a7c008cf5a8b7c186617d23b6b6013794a41f
  10. 0xb64aaf3325ca42a36cafa2858548ab650f108967fe88c976d8df19f65c84c297
  11. 0xb89b24cd1d7e0c7c2ce0c435dc1342bd2dd1e8dbc66c7f39012d50e51bc3b3eb
  12. 0x4cddbeeac8c1524fc617036c97fadc68ab084810bb271f11ef4210796d067f9d
  13. 0x4c82d20074b9d7d77e728b0250a2c662412d8d0f7eccff2d8100bfcc4434597f
  14. 0x98c6ed3e7b5bb7f1757a8660af410226a11dd563bf83010040c2ce059ab45e54
  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