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Evidence row 1295032

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint c6bd97c3-0f11-40f8-9d41-fee40be004f4
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
58a184fe23f8d8547090cb45aad75b679504ec5c89e8686acdc74da27e34faf0
Leaf
0x28f132dc2f7eb5d4a11c59997cb537620f669ef0cb24c7ea243358705d54da55

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "What DAIly outfits is (AI outfit planner / digital closet app), who it's for, price (free, with optional Premium), platforms and download link.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "lang": {
            "description": "Idioma de la respuesta / response language (default es)",
            "enum": [
              "es",
              "en"
            ],
            "type": "string"
          }
        },
        "type": "object"
      },
      "name": "get_product_info"
    },
    {
      "description": "Capsule packing list for a trip (destination + number of days) based on the destination's forecast. Generic; the app builds it from the user's own closet with one outfit per day and plan.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "days": {
            "description": "Trip length in days",
            "maximum": 30,
            "minimum": 1,
            "type": "integer"
          },
          "destination": {
            "description": "Destination city, e.g. Cusco, Cancún, Madrid",
            "type": "string"
          },
          "lang": {
            "description": "Idioma de la respuesta / response language (default es)",
            "enum": [
              "es",
              "en"
            ],
            "type": "string"
          }
        },
        "required": [
          "destination",
          "days"
        ],
        "type": "object"
      },
      "name": "travel_packing_list"
    },
    {
      "description": "Clothing layers to wear today in a city, from today's weather forecast (Open-Meteo). Generic advice; the app personalizes it with the user's own closet.",
      "inputSchema": {
        "additionalProperties": false,
        "properties": {
          "city": {
            "description": "City, e.g. Lima, Cusco, Mexico City",
            "type": "string"
          },
          "lang": {
            "description": "Idioma de la respuesta / response language (default es)",
            "enum": [
              "es",
              "en"
            ],
            "type": "string"
          }
        },
        "required": [
          "city"
        ],
        "type": "object"
      },
      "name": "what_to_wear_today"
    }
  ]
}

What the leaf hashes

{"body":"58a184fe23f8d8547090cb45aad75b679504ec5c89e8686acdc74da27e34faf0","id":1295032,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793400213247991,"prev":null,"subject":"c6bd97c3-0f11-40f8-9d41-fee40be004f4","subject_kind":"endpoint"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (243099 rows).

  1. 0x28f17c945cc107cac342dc5a370224b72ace0f9f68ad7d8529a8a5f49779d46d
  2. 0x87e5fc787b61dd261844378210bbd135b7238847bcc34644c62c7ff9cd3868eb
  3. 0x066800afd86de0c8b256fc9996ad07b6ba5a4133b9d2e33ade86669185dd095f
  4. 0x26f9812ab2604e0a0491bd0554233bbd2b97c45310c14509bf043d025ddd86ae
  5. 0x8ba707dc60cdef920b7a4bc2bcfef52e5f32a7925f699f38b12f6c40321bbae6
  6. 0x3094021ea77a5982c87df2486a808ef8cb125b3e8068201d0eecad7f099cf798
  7. 0x58cf6c3768c23104dbc81ae3cb4a42d30b7835f514c5b467e0c7f9139b726adf
  8. 0xf3277e1f0890f9688acc7479069a6c4ddd80daf0ad6c4ceb0b5bfe91b73b6ac7
  9. 0x0b65f781f58d9fa7be6bb6b812f67ac33b57076a0eff2742dc59678b7fd5d535
  10. 0x3474e6e08248f0ec63d917b7849479feb97ff2cbaeeea6ee8f6dddf8911a1891
  11. 0xac6885a782c6e194189b1b78fbb9271faf4fd982a49fad45fa68fa92aedcdf4e
  12. 0xc968599162d994e0c6d6a453743bfd940ee5c2e708b6e1e1ee2ed4a1537ba982
  13. 0x1b9ae6ba8c6cfebe04f9f15a001e19b02d6df77245227331ce13f353b617efcb
  14. 0x9f9779dc68f693114863e0dec3d1a44dc50e81c34bd4122e25a6a644a5c619bc
  15. 0x6222037db785cc797fc8809e52e551d945c928d389b7ac947c037fb9af818562
  16. 0x50ca74d7c8f26a46e9c3b8fb5e7f9ebcdfdcc1b7c863db3b6d2b7c12e24ca66f
  17. 0xb0c9ef42e725578748f3119c9dbebf2fc437266bda013df29f98ed3ebe621403
  18. 0x30a81d8fcef4e8f9e2877c62796cfc5612fc1b251127d531dee28f8dbd5c5147
Day root
0x0826c7ad6039e06a2360ca0a4a3a4fe7f2626c6dc19f71a37599386f78b39875
Chained
0x36b4c8a1063758f0b8765fa1bdf75fa92fb543cc183add3e261880ee2bd1f822
Published
On Arc Testnet, block 69923247: 0x8704744146c6967c8abc9e9a99de4db7283b29e840922ea83a69b6fe776e6861

How to check it · This row as JSON