addrbookFor publishers
← The evidence ledger

Evidence row 412008

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-017
Recorded
Previous row
#110413
Body SHA-256
6d1d2b6c91c2bc4b9c4278f84e919bd68c161c7704581e926893a162ba26c342
Leaf
0x81d378ab3965d407cddff389340f133c0442206d688b22b414d1a9f27c202087

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-017"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-22-017",
  "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 + Date by category pivot: Record quality audit + Date by category pivot 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-22-017"
              },
              "sku": "assistant-ib26-weather-22-017",
              "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": "2026-10-27T04:57:12.341Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-24T16:45:40.426Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-017",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Field survey coverage — Record quality audit + Date by category pivot: Record quality audit + Date by category pivot 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":"6d1d2b6c91c2bc4b9c4278f84e919bd68c161c7704581e926893a162ba26c342","id":412008,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793080553202125,"prev":110413,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-017","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x81d39d6be950781b88a22fc98831f0a9b7618f688180c979afc8f9153bc1c3b0
  2. 0xeaa804db448c442bc7a56856895c40d20beea4fe343020ad071f82dadb66efaf
  3. 0x60174c6bb8d691c783c85fbb4035f2d3d76d785179ce3b07d04a4d2c8665eb8b
  4. 0x27ce58d6d9b9f0d097fcd91434d27d11efc7dbd2e8b268755d24b1a780571abd
  5. 0xd5e3790ef66e2b5be87c83b7af997875ba6f10509be8f6d181bfb76d11c9a030
  6. 0xcd573fb16cf5d6a8f2a0b39e1ab5660fa13888d2b4a0dfd676ee7810a12e1320
  7. 0xf3679f3314241378d009dc5f86da256f1851fb30f997c6744005f3e60ababb61
  8. 0x64db67d2d6ab9142e5b84e2543481b1a4a2e9ead834f0cd6a686c00e03067cba
  9. 0x9eaa7df7506e6903dc47b9faf11907df2470f62c61f5447d28904dfd13246d75
  10. 0x04f279facbbfde8da8cd875c34e825edf17b1db3f5e0558baafa76843551faf4
  11. 0x47cbc9f146ebe6651e5dfc76556fc06e79ac452f66ec760cd8786c742b45e4a7
  12. 0x4cf7b6120bfa84e107b8f1b7be613b553fa250042dc0db95890566416a94d682
  13. 0xe38e66e8bf48306ee42504c4df50c2052cc9230af02e2ae6ff66da20232bf797
  14. 0xfa0c8e8f1a1710ff197533b0a28208f2e168afe71abb7bb3416e09d1ac371d60
  15. 0x3c500ec3d3edf0c74b87a6ca8fcd77656bfbe03db3d478bd0c184d0c88839c6b
  16. 0xfecf3d4646dd4984a13dd715499e842c3fde63692336d97394c2bfd8e877ca5d
  17. 0xf30fddbf4811226c58e8f0daf36fddd79fc5f1356b592bb1d99a8061ddbabe66
  18. 0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON