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Evidence row 110000

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-17-212
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
8c02751b3fa20091d347b7af2c669142cb829f1086af7d94b9eb0580c0050776
Leaf
0x22eb705ae4bef186aa76467b4de05ce607239e15ba1d353db76b6f3b6eaddae4

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-17-212"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-17-212",
  "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 + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied tree canopy observations records (canopy_m2, plot_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": [
                {
                  "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-17-212"
              },
              "sku": "assistant-ib26-weather-17-212",
              "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": "2026-10-25T07:37:52.849Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T07:37:52.601Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-17-212",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Tree canopy observations — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied tree canopy observations records (canopy_m2, plot_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":"8c02751b3fa20091d347b7af2c669142cb829f1086af7d94b9eb0580c0050776","id":110000,"kind":"listing","method":"baseline/1","observed_us":1793025589942233,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-17-212","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. 0x22eaed67e5a55eb7946da336a5caa62ad6a037783767af27e88a3b812fca6854
  2. 0x81d232033012c0f1636a278eba5e8c256bcce6971893ad1ad5c341f2cdb4891a
  3. 0x1bd5cd5834b5d495602c765ad3066fc575e54121b9e8bf23abe248e8e8856252
  4. 0x85a8d6ac83d97be900bbb44e46c6fd51272eb3b9842052aa9f5ac2a15ef24e23
  5. 0x9055057a382463c305732e9668304ee0cea1ac931388ae43008a565b96a86bc1
  6. 0x517148f6cfc29024365a70e925a0fffb5a084045dc3c7472e361c4d1e2d622d2
  7. 0xaf29d5d4285bce5ae6b1a7c9ed1e85affddd5fad7de60a38f63e01379aff4382
  8. 0xf2d3cc5b05ce3a6cf54101023f91d4e46e808ef03089dbc62698ebf4b6b7290e
  9. 0xc4d31746ee4009607b818b075e9b119d44593a4f85049ab30bc82550557369b7
  10. 0x7836a5556966cf30ecd08c3d2e71317aa77f32634124306502017aed314b7f61
  11. 0xafd0058f5459c39aa93b8bea4d66dcde1a2763032ab59f971a1c12b8652db90b
  12. 0xac5b705d705b0f1bc42cf2ad1a7f1f197ea96178ce0704432cbb5d556e8671a4
  13. 0x9d75d4d3ab6219edefa04be60b32fdd56be7a7672f370a5115f02f7b098ecd27
  14. 0x9dfd312f3d4937f7cb144cee3987e8516f222932b4ea286605236d73cfa1ed16
  15. 0xc3a6a3ae44ec0da1848b16d40c45d7aac97a67352eea8df18e0f26edabea8a2f
  16. 0x06d71bfa7d8b41d62c8836efc2c601e1cc3772d9453596b2ae4950887f3310ca
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON