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Evidence row 555795

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
18702909651ee202aefcb62f81bba65debe43f01eeb70dc474a4f61e22ee6e36
Leaf
0x940a62ec11994f28270c31498420d478910bb899f93636978d87dc07fe847ac7

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-25-001",
  "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": "Water temperature observations — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied water temperature observations records (temperature_c, depth_m). 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",
                  "depth_m": 1,
                  "row_id": "row-1",
                  "station_group": "group-a",
                  "temperature_c": 10
                },
                {
                  "date": "2026-10-02",
                  "depth_m": 2,
                  "row_id": "row-2",
                  "station_group": "group-b",
                  "temperature_c": 20
                },
                {
                  "date": "2026-10-03",
                  "depth_m": 3,
                  "row_id": "row-3",
                  "station_group": "group-a",
                  "temperature_c": 15
                },
                {
                  "date": "2026-10-04",
                  "depth_m": 4,
                  "row_id": "row-4",
                  "station_group": "group-b",
                  "temperature_c": 30
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "ib26-weather-25-001"
              },
              "sku": "assistant-ib26-weather-25-001",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "rows": {
                      "default": [
                        {
                          "date": "2026-10-01",
                          "depth_m": 1,
                          "row_id": "row-1",
                          "station_group": "group-a",
                          "temperature_c": 10
                        },
                        {
                          "date": "2026-10-02",
                          "depth_m": 2,
                          "row_id": "row-2",
                          "station_group": "group-b",
                          "temperature_c": 20
                        },
                        {
                          "date": "2026-10-03",
                          "depth_m": 3,
                          "row_id": "row-3",
                          "station_group": "group-a",
                          "temperature_c": 15
                        },
                        {
                          "date": "2026-10-04",
                          "depth_m": 4,
                          "row_id": "row-4",
                          "station_group": "group-b",
                          "temperature_c": 30
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "date": {
                            "default": "",
                            "maxLength": 10,
                            "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
                            "type": "string"
                          },
                          "depth_m": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          },
                          "row_id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "station_group": {
                            "default": "",
                            "maxLength": 80,
                            "type": "string"
                          },
                          "temperature_c": {
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": [
                              "number",
                              "null"
                            ]
                          }
                        },
                        "required": [
                          "row_id",
                          "station_group",
                          "date",
                          "temperature_c",
                          "depth_m"
                        ],
                        "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": "2026-10-27T19:46:29.676Z",
    "quality": {
      "lastCalledAt": "2026-10-27T19:46:29.676Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Water temperature observations — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied water temperature observations records (temperature_c, depth_m). 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":"18702909651ee202aefcb62f81bba65debe43f01eeb70dc474a4f61e22ee6e36","id":555795,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793133801926221,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-25-001","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. 0x940a4ccb992ca9ca088018be8a3f2f5a52ec4710a67c87b5a2a9d887b9f56b31
  2. 0x29ec07f6a5307ad13b3332920c1cd7ca23d4590d5256b90613d44e9cb2d1a8a2
  3. 0x62732bfb8cf2695acc9cb6ef373e86dd930387b016e53e3afeae0b0045eeb48d
  4. 0x0332f862524ce125218a6d34a00445d916b3586670edfd070894746257c5ed43
  5. 0xfda0f311ff2c8f5c8d5e21afd00e9a3e9becf80c48df43721bd2d26f0420f3f2
  6. 0x6dc6cdac2db4ea5e48b95f320e9acf4824b146fc74fdcc03373e4791d89835a4
  7. 0x0491f12170d846aff6f50f2c5f9d344a5a90996c5e8ea3ee81160217699d64eb
  8. 0x19d38b2b757b57bd58c8db8e221f2927c45281039f8c43464325429999ae7858
  9. 0x95be16e3f6710770c567f06512177175fca349e1b4a315d73878f8576d0bb1a9
  10. 0x2cd6df1b424ca01feabc6fe190b5be1ed5d1b01fcb3f327ec0d4a204f14ab73e
  11. 0x62768d685fdf68a23a3746fae9fbbdd9613e343468823ae92676080679a3f19f
  12. 0x21b50531db6db8c65523fd5559cda8006afb66474d66107f3c29e6cd41ec3fbe
  13. 0x59c5c792b40d9054ce2b84a60af97fa54f2e1a2a369a6a52dc3f45de41128e97
  14. 0xa3c9c760ee424c178bab782711c2b9d3e15a80a6fde99165972cb75b306bb8b4
  15. 0xb4f7223140c8a36cb87a63d77cf617086d9968dc4658f03e102571ebe06e9ed6
  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