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Evidence row 203332

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-191
Recorded
Previous row
#110498
Body SHA-256
86ed6fdc6212e501d7873305b02fa034a5d6a3e6be8e25e5ba33274994641b81
Leaf
0xc8cc6bb705647748ea4ee089dc07918ed9019490bfb034a72ca6ee3b9dca6c49

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-191"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-22-191",
  "owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
        "scheme": "exact"
      }
    ],
    "description": "Field survey coverage — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied field survey coverage records (surveyed_m2, target_m2). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "rows": [
                {
                  "date": "2026-10-01",
                  "row_id": "row-1",
                  "station_group": "group-a",
                  "surveyed_m2": 10,
                  "target_m2": 1
                },
                {
                  "date": "2026-10-02",
                  "row_id": "row-2",
                  "station_group": "group-b",
                  "surveyed_m2": 20,
                  "target_m2": 2
                },
                {
                  "date": "2026-10-03",
                  "row_id": "row-3",
                  "station_group": "group-a",
                  "surveyed_m2": 15,
                  "target_m2": 3
                },
                {
                  "date": "2026-10-04",
                  "row_id": "row-4",
                  "station_group": "group-b",
                  "surveyed_m2": 30,
                  "target_m2": 4
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "ib26-weather-22-191"
              },
              "sku": "assistant-ib26-weather-22-191",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "rows": {
                      "default": [
                        {
                          "date": "2026-10-01",
                          "row_id": "row-1",
                          "station_group": "group-a",
                          "surveyed_m2": 10,
                          "target_m2": 1
                        },
                        {
                          "date": "2026-10-02",
                          "row_id": "row-2",
                          "station_group": "group-b",
                          "surveyed_m2": 20,
                          "target_m2": 2
                        },
                        {
                          "date": "2026-10-03",
                          "row_id": "row-3",
                          "station_group": "group-a",
                          "surveyed_m2": 15,
                          "target_m2": 3
                        },
                        {
                          "date": "2026-10-04",
                          "row_id": "row-4",
                          "station_group": "group-b",
                          "surveyed_m2": 30,
                          "target_m2": 4
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "date": {
                            "default": "",
                            "maxLength": 10,
                            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                            "type": "string"
                          },
                          "row_id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "station_group": {
                            "default": "",
                            "maxLength": 80,
                            "type": "string"
                          },
                          "surveyed_m2": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "target_m2": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          }
                        },
                        "required": [
                          "row_id",
                          "station_group",
                          "date",
                          "surveyed_m2",
                          "target_m2"
                        ],
                        "type": "object"
                      },
                      "maxItems": 200,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "rows"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-26T05:21:38.165Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T05:21:37.961Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-191",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Field survey coverage — Record quality audit + String normalisation + Exact row deduplication: Record quality audit + String normalisation + Exact row deduplication for supplied field survey coverage records (surveyed_m2, target_m2). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows."
}

What the leaf hashes

{"body":"86ed6fdc6212e501d7873305b02fa034a5d6a3e6be8e25e5ba33274994641b81","id":203332,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793026289356067,"prev":110498,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-191","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0xc8cc7103257301cd72968363fc50c2974b54eba902dbf01b11b5380bb62330ff
  2. 0x9c2c58530c3e9fe69a4a9765ceeefec4bfc8b258bd231123a0bd227ceb0515f9
  3. 0xce761ce47b2a85ebf87eaea1629419f02c72d52a307ad989375cb141e3cfae5f
  4. 0x124a4c9687464f71f7913dbf38fadb6580d666265eececc46fd622069a877ec3
  5. 0x25cd8a74b9699dc78362e9c593640b3e3eae374fd2f6f8f594c1f869ffeba88c
  6. 0x07e85ee07fad41357e1129fb3012f829d13299e5f668f0ded2e36859d24e9737
  7. 0x517a78d56f820491f2eb44a2cc18cf41015561b777c35a4974a0ff29e0203baf
  8. 0x9caba09d4aed54a54d920204d7a23badd508a0883017d723f58f0750820cb1f8
  9. 0x1148a3536fbc4c6e4bca38b54eb0f7b8853df52207579c13e0b6efa25a2fe4cf
  10. 0x99b83a0d8096cc6e79ca10fec0381f61738bb5a26cb8d4668d93598ea82a302a
  11. 0xde080106ffe5b9071b2505ae31b17f7da4d3a9c7f4f4d9819f700d720702beeb
  12. 0xde09984239f27618a13932caf48f5d39831fc5021500b0581dce0dabd570bd6e
  13. 0x72e35aac89ebca631656c2b1aecbdc094807d9807f12c22a6ddf35cc1f5e21d6
  14. 0x5b20d8aab05225a3497eadcce89d2e2a586a510fb31334793d3f46f88f0157c5
  15. 0xe94ca5b798e9899ad611e57835af42266e20f53f44977e487d81365e30972beb
  16. 0x703f95866af09c5e5d6ead7411e9a10f964a41a2aff64d4a55ff0053c023a023
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON