Evidence row 1039374

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://x402-factory.com/v1/forecast/san-diego"
    ]
  ],
  "name": "x402-factory",
  "owner_address": "0xcc42ed39a06b6cf3f484307ef76b88bf56fb305f",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 120,
        "network": "eip155:8453",
        "payTo": "0xCc42Ed39a06b6cF3f484307eF76B88Bf56Fb305f",
        "scheme": "exact"
      }
    ],
    "description": "Hourly San Diego weather forecast (blend model, method labeled) — Hourly weather forecast for San Diego: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Diego coordinates built in.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "hours": 24
            },
            "type": "http"
          },
          "output": {
            "example": {
              "data": {
                "hourly": [
                  {
                    "cloud_pct": 17,
                    "feels_like": 83.5,
                    "gust": 10.9,
                    "humidity_pct": 37,
                    "precip_amount": 0,
                    "precip_prob": 0.06,
                    "t": "2026-07-18T12:00:00.000Z",
                    "temp": 83.5,
                    "wind": 6.6
                  },
                  {
                    "cloud_pct": 19,
                    "feels_like": 83.1,
                    "gust": 12.7,
                    "humidity_pct": 43,
                    "precip_amount": 0,
                    "precip_prob": 0.06,
                    "t": "2026-07-18T13:00:00.000Z",
                    "temp": 83.1,
                    "wind": 6.3
                  }
                ],
                "model_run_at": "2026-07-18T12:00:00.000Z",
                "units": "imperial"
              },
              "meta": {
                "data_mode": "live",
                "docs": "https://x402-factory.com/docs/weather.forecast.san-diego",
                "endpoint": "/v1/forecast/san-diego",
                "freshness": "realtime",
                "generated_at": "2026-10-15T19:55:25.042Z",
                "request_id": "req_00000000",
                "sources": [
                  "stub-model"
                ],
                "version": "1.0.0"
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "hours": {
                      "default": 48,
                      "maximum": 240,
                      "minimum": 1,
                      "type": "integer"
                    },
                    "units": {
                      "default": "imperial",
                      "enum": [
                        "metric",
                        "imperial"
                      ],
                      "type": "string"
                    }
                  },
                  "required": [],
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "properties": {
                    "data": {
                      "additionalProperties": false,
                      "properties": {
                        "hourly": {
                          "items": {
                            "additionalProperties": false,
                            "properties": {
                              "cloud_pct": {
                                "type": "number"
                              },
                              "feels_like": {
                                "type": "number"
                              },
                              "gust": {
                                "type": "number"
                              },
                              "humidity_pct": {
                                "type": "number"
                              },
                              "precip_amount": {
                                "type": "number"
                              },
                              "precip_prob": {
                                "maximum": 1,
                                "minimum": 0,
                                "type": "number"
                              },
                              "t": {
                                "type": "string"
                              },
                              "temp": {
                                "type": "number"
                              },
                              "wind": {
                                "type": "number"
                              }
                            },
                            "required": [
                              "t",
                              "temp",
                              "feels_like",
                              "precip_prob",
                              "precip_amount",
                              "wind",
                              "gust",
                              "humidity_pct",
                              "cloud_pct"
                            ],
                            "type": "object"
                          },
                          "type": "array"
                        },
                        "model_run_at": {
                          "type": "string"
                        },
                        "units": {
                          "enum": [
                            "metric",
                            "imperial"
                          ],
                          "type": "string"
                        }
                      },
                      "required": [
                        "hourly",
                        "model_run_at",
                        "units"
                      ],
                      "type": "object"
                    },
                    "meta": {
                      "type": "object"
                    }
                  },
                  "required": [
                    "data",
                    "meta"
                  ],
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-19T13:29:35.42Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-19T13:29:35.268Z"
    },
    "resource": "https://x402-factory.com/v1/forecast/san-diego",
    "serviceName": "x402-factory",
    "tags": [
      "weather",
      "forecast",
      "san-diego",
      "hourly"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Hourly San Diego weather forecast (blend model, method labeled) — Hourly weather forecast for San Diego: temperature, precipitation probability, and wind, up to 168 hours out. NWS-derived series, bias-blended with our calibrated station model where covered — every response labels the method that produced it. Same shape as /v1/forecast/point with the San Diego coordinates built in."
}

What the leaf hashes

{"body":"0459449ba99a813fb4b41e8851878ed5626bc09826307fce7ed57c17de503294","id":1039374,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793298321783702,"prev":125230,"subject":"x402_bazaar:https://x402-factory.com/v1/forecast/san-diego","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-29 (242798 rows).

1. 0xf73117d3c1563ce56b43333e421392d53e459ad3dab4155079e604e1739fdd19
2. 0xccad61e65d0a438c2c0e0cf963ca1beca205288ba10be264ebe590c7190d85cc
3. 0x54e0d08a8714f5485ceda297a733ab479349bcc4038ae93bdbe43d819d982085
4. 0x0098067eae14e0f19741fbfef2438d181ee9fe9e4b5c72685d670e96dfaf1f43
5. 0xe67a72aa52bbb12e52f63de12212349cc9c2cca77dd4dac628214cc94e2ff0d5
6. 0x077ac87e462029d950f58be61ca2ee84370077ef67a4882b7721c682b7cae7b6
7. 0xcdb95c21cd0d1723fb08758e4e98812049ee9287a6462ad217eba45487396b94
8. 0x0bac02fc0e20552350fbaa623def46fb10e8b400061cc46bc48bd1301c5fc3fd
9. 0x24cebe81c90353792ef3d9205847db435c7de505c88a1219e626a1acce8d55b2
10. 0xd0e7fb73eaa36e725688438ec3dc8d27a4fec442e72d7d4b956ee97c761282ea
11. 0xee48362e553ca93e39db84a9137c6ff2936a6689f689fc2d52fbf0d3a6ebe615
12. 0xaf721851474686140542d61472c93bfca1d951e6b0add6fc91a02d8c6ff1d8cc
13. 0xa692280fe21039882d68ea89ab3cede099743aeaa4bda6812798278201af19f0
14. 0xc7119ea806f683838e5f48055d7f1b7fded1f500c6064dabeb8b9a36bba8932f
15. 0x1dd763930a8023065a24b676469b4f26d92a89cfe71226ced9df379f43ec0f0a
16. 0x1597ec94933260048e5e583aff1ad0fd44cc49efcd0a994091ed5db4924d7b02
17. 0xe01539ac4c9f9cdf265a9e5c6d99c8da11e70ff0c7175fb23e402d33b9d79785

Day root

0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c

Chained

0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6

Published

On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1