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Evidence row 574867

Observed , by probe.mcp/1.

Kind
mcp.tools
About
endpoint 7361187f-2868-4114-8dae-b6709060f655
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a85d803010d8b9f0e7c5eec61c6649b959df51b633d60185ca59fd51ada3cca7
Leaf
0x218631269711dd580290c990346c69118d417a550ca2de499cf3e95a1d237a8a

What was observed

{
  "count": 3,
  "tools": [
    {
      "description": "What DAIly outfits is (AI outfit planner / digital closet app), who it's for, price (free), 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":"a85d803010d8b9f0e7c5eec61c6649b959df51b633d60185ca59fd51ada3cca7","id":574867,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793141837305543,"prev":null,"subject":"7361187f-2868-4114-8dae-b6709060f655","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. 0x21872c283a365a1e0954c9879141adf54ddef3af76260d4b3fff97a7e2e8a0ca
  2. 0x4289fb986a3821c054e6d4edc80427be5ef050db53c804433704f46c8f941d69
  3. 0xeb7c0f49ddae6f8293bdba670cb179669eb72673bdb3f77c088e7120e8789092
  4. 0x45140c4683b33fd4e518af4500600e196c50ff7dbaa82279ce19390c57d1b8e2
  5. 0xa668408c97f68e48ff1645f2179c48aa57cbaa4887c8678c97814474f7b3797f
  6. 0x1d1d302ec1dbcc7ce0b065aaa5478faefd8db2d7ad8f1baccd5c8ce107595679
  7. 0xc6854fcc5750ec6e02ce753c3e8da057d11837841b8e81928e87276b86e84e0a
  8. 0x8609167b3ae6ea975a8468c3a76ae772d11a3a1ff60cdb6d639cc6d3564adbb2
  9. 0xa9d0f8302f7e6ddae9e5b9b9770e8128bc5202f157068c27c058619396ff40b3
  10. 0xf7ed8ca3ac0fbcb6281585a033b0193b820c569aa8055ebf834a3e2373c8c4e0
  11. 0xcd076dadba0ebdb10d4f98d66c39a46dcf81479dab835b894c5c4db1d59ebe7b
  12. 0x3e618f03ac19ac846329a4673ab8d8561b083fca3c7f9a5fd8bd3bbee6556c25
  13. 0x20ca24353b8aca3e061eedf55f49b69ae8369b88135dfdabf30039ed34db329a
  14. 0xe8ee6f6ed50253c5ee2d1aa85a4b1a38ce94bca7f3b72fd1850f496152dbe285
  15. 0xa383a1cfe9b3f6af67eb4c7642564b9424d46d7fca90e7ba175d549f8b67dd0c
  16. 0x52efa60e0c3d8525486d2310eb3b6b566c9677c64fd1f819edb072cf101bcbdb
  17. 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON