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Evidence row 2240810

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-077
Recorded
Previous row
#110443
Body SHA-256
63d2da097aa5eee00da3b707863005647629a4cead73aa2c735b3df096275f3f
Leaf
0x6576d2c359811bf9c39be9fa64d3cc60e19879e91a2a69058e7192ddd5bc203a

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-077"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-22-077",
  "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 — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied field survey coverage records (surveyed_m2, target_m2). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "field": "surveyed_m2",
              "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-22-077"
              },
              "sku": "assistant-ib26-weather-22-077",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "field": {
                      "default": "surveyed_m2",
                      "enum": [
                        "surveyed_m2",
                        "target_m2"
                      ],
                      "type": "string"
                    },
                    "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",
                    "field"
                  ],
                  "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": "2026-11-01T19:47:12.949Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-01T19:47:12.288Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-077",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Field survey coverage — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes for supplied field survey coverage records (surveyed_m2, target_m2). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows."
}

What the leaf hashes

{"body":"63d2da097aa5eee00da3b707863005647629a4cead73aa2c735b3df096275f3f","id":2240810,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793647605685518,"prev":110443,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-077","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (444186 rows).

  1. 0x6576deb1ba61cb68af307715484eee3c2da78d5bdb74eea2cba3d9c345a0e781
  2. 0x2a171bdb83c460e493ccf9adc5d24253ae3a37fb2ae37971e27a2f44603db245
  3. 0x4be0d75b8f0e4c905f36c7c1da940b5404de3582429b45418d3d867550b3de50
  4. 0xebf32c0dcbb72baa424676e1f8c15bbc66a9dc4e35ea71d752f4edd217db9c99
  5. 0x5e35d73b81b82770253a59f8a1cf857c5fde130e7a6a2056c1a653b3ec4f7523
  6. 0xb5dd23dd4bfed551d4b5b4e64d0007679fce6ce50511721af2d306424645aff7
  7. 0x3d9a99c36978fe60a1bf5ee0558cae011fa4b2f292c36df03a919385099f19cf
  8. 0xa965052e1a12a04c60b3ce9113f0e8c400865110e9b25772f7cdfc9982802781
  9. 0x3453e79f39daafca9b6ce303d0c4c94335f0fe110a38b6b06a3abf3f0b6d6273
  10. 0x40268d97035bc33c74144fbe6311956dda66179d570909f149d3fd6efc151418
  11. 0x537130f563bf92654495b68976e1bf73af9e040b9cd4cf776e0b0c014f484d70
  12. 0xc896eaae3056ce1ba9baca9b17e29ba832a897624bdd998bac108458e38c2648
  13. 0xc1de5d78ad0d5e6c3608f4aebcde48975d4694ff02af180260cf7b52890d7af1
  14. 0xfb5ea8fd7d0c463ff98fdc93228854845802421c0e3865536227edf756498fcd
  15. 0x23f4763e8db2efe57fbc28dfc68f2b97b65f54a03425994e68157763af649a50
  16. 0x0e5696ae625571c52ddcd8dc09aa6c994b4ab38f2086df20d56f1f01c603e501
  17. 0xf9973981f80219d4f00fa9186b40a8144accc0c9875572fb79eaea312a21a187
  18. 0x4d205063c881c48edbbb37762a8d3bbb7444d4c42daa882f663a231893d25c35
  19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON