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Evidence row 110436

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-066
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
2ea11b32d3a2373f49091141a667acda86f467310642781eae9a5a82112b69be
Leaf
0x522ec4cf46ccc85de8fb609cac3a5f91e74ed52978227d8ea0de46abba1d0d86

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-066"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-22-066",
  "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 — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation 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": {
              "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-22-066"
              },
              "sku": "assistant-ib26-weather-22-066",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "rows": {
                      "default": [
                        {
                          "date": "2026-10-01",
                          "row_id": "row-1",
                          "station_group": "group-a",
                          "surveyed_m2": 10,
                          "target_m2": 1
                        },
                        {
                          "date": "2026-10-02",
                          "row_id": "row-2",
                          "station_group": "group-b",
                          "surveyed_m2": 20,
                          "target_m2": 2
                        },
                        {
                          "date": "2026-10-03",
                          "row_id": "row-3",
                          "station_group": "group-a",
                          "surveyed_m2": 15,
                          "target_m2": 3
                        },
                        {
                          "date": "2026-10-04",
                          "row_id": "row-4",
                          "station_group": "group-b",
                          "surveyed_m2": 30,
                          "target_m2": 4
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "date": {
                            "default": "",
                            "maxLength": 10,
                            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                            "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"
                  ],
                  "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": "2026-10-25T14:15:13.481Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T14:15:13.281Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-22-066",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Field survey coverage — Duplicate key report + Two-measure correlation: Duplicate key report + Two-measure correlation 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":"2ea11b32d3a2373f49091141a667acda86f467310642781eae9a5a82112b69be","id":110436,"kind":"listing","method":"baseline/1","observed_us":1793025590796525,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-22-066","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. 0x522ef91b7b3fdf86c92fea9d1a1c4fe2f081c8957b268ddd3b7e528c90770f02
  2. 0x730f0bf29a056d8adbdfcc60312f5b669d3115451384af7854d9fb09a112f8a3
  3. 0x148eb12bc290a567a12dc62597499cbc485656e936714d8207cdc487f858a444
  4. 0x08ca632d345c6fe18f5c4d6734541dc2729ef60c1cc4b3e3217ecfc1c1a2254b
  5. 0x504aca2db8535c182e940f7046b17d827184c0b5a7d2867dd4f32bcdfa6894ea
  6. 0x59f185aa8dccccdcd094ab0c0962d1625128429d18de6c90e43a1395f7286830
  7. 0xd094e127579b814a8dc280ae79bd44442af94eddebf2a0bbe0d68d30ad570fa8
  8. 0xb7443a0aa5d128394c74433b3ac1144198d700326910d491b0566f187db5ca61
  9. 0xa3dfdb53c4025622d53d5fb988577d591f092d6645e1102bbe13e36e1a01dac1
  10. 0x56c4b9a8339bbeb0ffca530ff47780ea20783ddd975fbd4877c1c5fd864229b0
  11. 0xa5ad1076807e948ee46c6ef88026aa55418c25a28faa967ff0fc965aa97c5a48
  12. 0x94dd4ed7cf198df741ccda83eacc422aadb31119fc6e84c4a6d2f023453b7960
  13. 0xd830c52e1e8095e014510110592485afcb02b9c9a36f85653e4891a8de941246
  14. 0x0733993143f0230e79482cef2c38e95d98f9eafbe64a43cdc74a4545938a4167
  15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON