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Evidence row 109912

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-17-015
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
16d611a9b4c34e2d73b6bbe959f405cfce40926b39fbcbd51625ddcf14f33530
Leaf
0xfc389641bc229ae6a3153532f5cbe88aac44d1c51efde749803e0dbb6d50ddf4

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": "2026-10-25T00:34:53.469Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T00:34:53.285Z"
    },
    "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":"16d611a9b4c34e2d73b6bbe959f405cfce40926b39fbcbd51625ddcf14f33530","id":109912,"kind":"listing","method":"baseline/1","observed_us":1793025589785623,"prev":null,"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. 0xfc3891676cd1358a3913cf7aae8bfb192e17c607b86174090a2f8eee849115e2
  2. 0xde59e166bcae7da7378b347ad0be3f65d40a0d9834d6469d8617c4319545d312
  3. 0x7cead03dd72cdf8c96f1508c53ab9505f78665e23b47f8d9748f42cc213b59e6
  4. 0x26d528848e2bae58a792621868773410572785286b071ce7dbb8b170a769e589
  5. 0x9320606d321539dca689dceb38ac36aee257effbdb6854e3c9f36f64a22b12a9
  6. 0x69de7bd004343ad7f0da195504930e6718896eaf94280334fe97e01ed8010e3c
  7. 0x53f1802ec7725ad7d1bc7513318f275e1745c891537e436c725d313797550abe
  8. 0x42e2928453a39a8b95b483759dcfff667f215d16fd4cae9edec292b245b198de
  9. 0x63e81cfd75312fe70586e362f887cff6fba0b3aa8a0751f1cd2f423e11b6fd30
  10. 0x0d9c6b15190d9e13a7cb74876b1fd47b5bba1e548abecd756ff8fd16658a6713
  11. 0x51bc8fcd224b36d2c60fa49f46f383ee8328191b9e73209ce8018f2612c3d42f
  12. 0xf8173f36b7a27e1bb0f6961a49501bba1d99349c5e11449d0d557fbaa910be0a
  13. 0xbee644d57738676bfb20eb90d6021f364bf883a8d54f8d17e9dc4749b4074c3d
  14. 0x44945ea9ad8b24e723ad5a8fd6d014024a49531783f74ff9229c2ab6930e84c8
  15. 0x68d296b1e00b4899fb83c3fba36fffaefa311eac2903067dbebfe776a12b4a9a
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON