Evidence row 578339

What was observed

{
  "count": 6,
  "tools": [
    {
      "description": "Get, add and update data in Microsoft SQL",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": true,
        "properties": {
          "searchTerm": {
            "description": "Termino de busqueda para filtrar vehiculos por marca modelo o caracteristicas",
            "type": "string"
          }
        },
        "required": [
          "searchTerm"
        ],
        "type": "object"
      },
      "name": "Buscar_Vehiculos"
    },
    {
      "description": "Get, add and update data in Microsoft SQL",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": true,
        "properties": {
          "vehicleId": {
            "description": "ID numerico del vehiculo a consultar",
            "type": "number"
          }
        },
        "required": [
          "vehicleId"
        ],
        "type": "object"
      },
      "name": "Obtener_Vehiculo_por_ID"
    },
    {
      "description": "Get, add and update data in Microsoft SQL",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": true,
        "properties": {},
        "type": "object"
      },
      "name": "Vehiculos_Destacados"
    },
    {
      "description": "Get, add and update data in Microsoft SQL",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": true,
        "properties": {
          "cantidad": {
            "description": "Cantidad de vehiculos recientes a devolver entre 1 y 20",
            "type": "number"
          }
        },
        "required": [
          "cantidad"
        ],
        "type": "object"
      },
      "name": "Vehiculos_Recientes"
    },
    {
      "description": "Get, add and update data in Microsoft SQL",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": true,
        "properties": {
          "marca": {
            "description": "Nombre de la marca del vehiculo",
            "type": "string"
          }
        },
        "required": [
          "marca"
        ],
        "type": "object"
      },
      "name": "Vehiculos_por_Marca"
    },
    {
      "description": "Get, add and update data in Microsoft SQL",
      "inputSchema": {
        "$schema": "http://json-schema.org/draft-07/schema#",
        "additionalProperties": true,
        "properties": {
          "moneda": {
            "description": "Moneda del precio: USD para dolares o $ para pesos argentinos",
            "type": "string"
          },
          "precioMaximo": {
            "description": "Precio maximo del rango",
            "type": "number"
          },
          "precioMinimo": {
            "description": "Precio minimo del rango",
            "type": "number"
          }
        },
        "required": [
          "moneda",
          "precioMinimo",
          "precioMaximo"
        ],
        "type": "object"
      },
      "name": "Vehiculos_por_Rango_de_Precio"
    }
  ]
}

What the leaf hashes

{"body":"ffabe118a1608ded9e4e3d3205d343630dd2b74a724e06b9022986ab1bd8aa4b","id":578339,"kind":"mcp.tools","method":"probe.mcp/1","observed_us":1793142939385567,"prev":null,"subject":"69c36582-9d37-4562-8b6e-1e845a4c9aa3","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. 0xb456db6cb2a6308a84cf6be601c1aa5ef8b01e927157a8cea6b90105947885b5
2. 0x5235f744e6bbd94627ba2a1116c9ef6664e3f6605f4418f91103aab36667447a
3. 0xfa623361e66e866114251d427f15e764410e982b14f1413ae7a891986f2fb724
4. 0x7e1076b9b3f80d581f7506977fb81481dbb2fb908f01555700fb89415b6be9c0
5. 0x1cbdc0398e54b0a6e72da6b76ca2a098aba39934ca319210a318cb2a2ec88745
6. 0x35b94a7bfa60bed10e63a157e72e174ea428b0b1759694eaab65f04eb2146085
7. 0x4770f8210ef2daec064906d7196d4def1abb13e5a526861d9b65906e8c617d03
8. 0xb9ab90c3171376308c663521a3074b4118e5d996bc2f166804a7404e8b92e1a6
9. 0xb453973045d461028cb4506fef9e6218a986a7416071f2ed88a2fbcf3d35558d
10. 0x7efb94cf0e8a662765a8c6efbfdc9dd1bc38bb8ad63eb2e0dbae156f58153fc3
11. 0x43473c302050eee376e0169659011f058a2eb8fc7d53a2ea0d1198e0f6d2a335
12. 0x305c0e886bebb6df8123db384ccd0d5bfc3ddf1de5fbf4edca0aea32f7e223a0
13. 0xf1104ea7df082465ff9df25ed29be80a0ac7c1c6b25c289b5d2e6ae5e6331952
14. 0x87cb8935612c40b569de008a9bf8218cd24a06f74a7364a1654613d972fe00ed
15. 0xec7bb68216a4deb1960acfbbd75da88f7e468b58adb9cf3ec62f2790e46508b3
16. 0x64c405a28e8819716221eb2529fe4ce277ab08025e17e685cbd5ece75ceb75c7
17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699

Day root

0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795

Chained

0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4

Published

On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4