addrbookFor publishers
← The evidence ledger

Evidence row 109913

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-17-020
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
ae34f3557e045d835a86a38544ece63a2e04fc31605f2da1b0544bd5939ed563
Leaf
0x7d47ed48f24ff76d7fe62850b947f5334cca1fce37cada001208bc96477a1f1d

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-ib26-weather-17-020"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-ib26-weather-17-020",
  "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 — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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-17-020"
              },
              "sku": "assistant-ib26-weather-17-020",
              "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": "2026-10-26T00:50:17.977Z",
    "quality": {
      "lastCalledAt": "2026-10-26T00:50:17.977Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-ib26-weather-17-020",
    "tags": [
      "ai",
      "weather-data",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Tree canopy observations — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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":"ae34f3557e045d835a86a38544ece63a2e04fc31605f2da1b0544bd5939ed563","id":109913,"kind":"listing","method":"baseline/1","observed_us":1793025589787252,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-ib26-weather-17-020","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. 0x7d4798efd60bf45ef46a90c4a89b5b3be9e428d7819957fe0faee09196bc2a86
  2. 0xd07111a359d4c4caf4887a05620f58e805f29ceedc5ece4868ecbb9102f229d9
  3. 0x1e11b6103f78c4373c396cb230ad5ea41f06db4d1fb5bc53b2c76dadd93db0d6
  4. 0xc266284f932fe6f06ba65bba5a7d2ce3990e16a159eb5841803770689de5608e
  5. 0x8a9f05efeb4d29ee89a68c576b15619eb35bbdb040e7e50f15a84876032958d0
  6. 0xf753f61a5cf3740668d3f18f70f6dc69704684abad48e222e208b9218978fa91
  7. 0x2e707608316b0d5d69d813e984b87f3340a13710d22999d5187ce561b2bb9eb3
  8. 0x1cd028513eac1532ee3df02f156de4852cd6c7c32cee939b66c2faf32a7f82ae
  9. 0x7cb84485c6b902c49734720bca3a33ab18427e01cb45da3f781a9f5899f3a01c
  10. 0x27bb9eefd00206cde7209859f541e1ae68cb3baba4968278bfa6a4028b0fe719
  11. 0x05b818019343d04f2973b36329a447f88301721891653961b94822610edda553
  12. 0x779c77295186b32da6387dfb36d3a76522e7d713472a7cebed7c93529ccc4be6
  13. 0x0bffb634300aa5609bddaa79e8d31d7cde36c0a5a4465472f809b9f5287e40d2
  14. 0x7721d38652b6444b18e1193824e50490ade04851ce6221771f6e374c4527d80f
  15. 0x15039087bf60ae9b06b756ec3cbc299760e59923a438bbd91e34d105186db0ed
  16. 0x2b6e23e3624a1b66e1d2298cfbce99a93ce6b13d24a58112a71802d79c5f7a76
  17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON