addrbookFor publishers
← The evidence ledger

Evidence row 206069

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-17-015
Recorded
Previous row
#109912
Body SHA-256
262b314b711321a0ed9039f592c7f27cd7180456795a8163e1e008919fec89d1
Leaf
0xab72c233b4cf314f562427f84c9955ca1ee08f6265ab15d0cd42b7f239f0bab0

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-17-015"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-17-015",
  "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": "Tree canopy observations — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied tree canopy observations records (canopy_m2, plot_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": {
              "rows": [
                {
                  "canopy_m2": 10,
                  "date": "2026-10-01",
                  "plot_m2": 1,
                  "row_id": "row-1",
                  "station_group": "group-a"
                },
                {
                  "canopy_m2": 20,
                  "date": "2026-10-02",
                  "plot_m2": 2,
                  "row_id": "row-2",
                  "station_group": "group-b"
                },
                {
                  "canopy_m2": 15,
                  "date": "2026-10-03",
                  "plot_m2": 3,
                  "row_id": "row-3",
                  "station_group": "group-a"
                },
                {
                  "canopy_m2": 30,
                  "date": "2026-10-04",
                  "plot_m2": 4,
                  "row_id": "row-4",
                  "station_group": "group-b"
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "ib26-weather-17-015"
              },
              "sku": "assistant-ib26-weather-17-015",
              "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": [
                        {
                          "canopy_m2": 10,
                          "date": "2026-10-01",
                          "plot_m2": 1,
                          "row_id": "row-1",
                          "station_group": "group-a"
                        },
                        {
                          "canopy_m2": 20,
                          "date": "2026-10-02",
                          "plot_m2": 2,
                          "row_id": "row-2",
                          "station_group": "group-b"
                        },
                        {
                          "canopy_m2": 15,
                          "date": "2026-10-03",
                          "plot_m2": 3,
                          "row_id": "row-3",
                          "station_group": "group-a"
                        },
                        {
                          "canopy_m2": 30,
                          "date": "2026-10-04",
                          "plot_m2": 4,
                          "row_id": "row-4",
                          "station_group": "group-b"
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "canopy_m2": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "date": {
                            "default": "",
                            "maxLength": 10,
                            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                            "type": "string"
                          },
                          "plot_m2": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "row_id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "station_group": {
                            "default": "",
                            "maxLength": 80,
                            "type": "string"
                          }
                        },
                        "required": [
                          "row_id",
                          "station_group",
                          "date",
                          "canopy_m2",
                          "plot_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": "2026-10-26T07:59:01.655Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T07:59:01.471Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-17-015",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Tree canopy observations — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation for supplied tree canopy observations records (canopy_m2, plot_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":"262b314b711321a0ed9039f592c7f27cd7180456795a8163e1e008919fec89d1","id":206069,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793026342951478,"prev":109912,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-17-015","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. 0xab72f2396b73b63bb73402a9549d5f81d8213fde5758186b2662d6dc91c59962
  2. 0x95f31cc66ee93e52ad65afe60920f0bbd89c3a2ea07cb23d46b3987f91090c99
  3. 0xf26ed32aa5986bce2bad86403a0ad7ef02ac13092480bd139c395c01da344bca
  4. 0x33223f45cbd3cb1c42c25695e61c3d58e0c85ccf445c88f28aef5cc563067e59
  5. 0x0f122b04048f44cf948ed35a4bc7726376a7520301079b9ba30b82d0c55da9a2
  6. 0x4d9be81cdc13913a132397b2d33d394d3145d22916ff3523f5bddc8334b98017
  7. 0x71c7873a805cbc6a9a05a82b07d9657cfd0c54ed07673a9514d363c01c29506e
  8. 0x4ef1ec95908023fc0cba1f19a319f17ca7acb4cc29f5792f9f6644760ed5d43d
  9. 0x1fa965679b8136f79cc3e927c5953dcbef05a2d5bab815cdd3bbcff445fc8076
  10. 0x3fa5eaa6d08becab2832207a749500470aa2568b12840b9e743f3ba19967d00b
  11. 0xe285855b14529e4bf6d93d3ce05a3365dcfc651d48b9dfeb5c229a51822613eb
  12. 0xb7fae69bb7bd717d54a83df961404a3e4de2a5cfbcfa013fd83a38627fe13f7e
  13. 0x4700d6dfdb40e52e2ceb8ffe62c75f3f708d23452f828255fd003d795f5d9d66
  14. 0x3b4dba7d874fc323b0a364140a9c60f37bf547fe671897653118a9873fe03420
  15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  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