Evidence row 3969287

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": 1,
      "l30DaysUniquePayers": 1,
      "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":"5a34512afd459092c29c1e1ae9f52397c25d788f0464b2bf14d2b8614c31584d","id":3969287,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1794083562814853,"prev":1039374,"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 2026-11-07 (195826 rows).

1. 0x04bcad261ca09d74476f8d5ef5bd53090c51aff11b1f1c00a8d6d14b071b1f54
2. 0x3d8233cd9ad62a773d2b8c814b80fa65671f9515e4404896291e99bdaf753d60
3. 0x40e01b954a65ae25f948f30a1245205a2d30927a8a82a5cb2e0a80db21ede567
4. 0x927614befd7e80642f29d568fefd354ffb6207513174dadf48c65aa2ee5d6e96
5. 0x8709f4cbbcc6f8148ac631fbaf41a94a032dfe98b36b6c0995075b0cf9996c5b
6. 0xfc273fd3a7d69e18ffd75e9c0af92fee401460040060ad2477a953fa4b926cae
7. 0x4e5b6d3a68ec678d7ca04b52348b80f1eb80d602fa4f43401a928ac8c8657b31
8. 0x8f49a739340e8d20dce2de2beafe7f86e41753fb7e3fefa3f6988e9deb61a5e7
9. 0xf3cf4c02734682c97ca7b981dd3da95b5b4b8a63102ce77873ee921a181d3916
10. 0xe9048063ed8d81df44823738a488239706263b4c54eaf1b52d8b7267ad9be45a
11. 0x7e04f4d94c0edb5cd767fedd78cb58211bf034c4635a792766041a0d16005849
12. 0xcd495b3a87392ed7b9f6a4e3efaf82ad7422217e121cfb70e73244b1808535a8
13. 0x80de52ad007e81cbaa504c53c1020b78094abfb0907b1d97798e852ce43dedf9
14. 0x144e6f529cb7231bff37cd4bad2e3530f3ad930f9de9c48c0f73680bc7f17d30
15. 0x648a3baa51de8aa55066ecdaef86a2d63e9b16b533148da0c58eba70048b858f
16. 0x80bdd907e4cabf074c5e8d919e88abbc805de47d0c5c142e281a67157f82926f
17. 0x54292a94f447f1fd33c01b5c99da465043f11022958626a2ea562c457fef697a
18. 0xff23fa8a9de3f957315ef0dfe7e8d8f6b1a51dae05fef7615c59794e019ff05c

Day root

0x17da9e85e1b138541355d33543ff34e3503cd3a49d37728fb53643e2a0416a2d

Chained

0xed34bd4af17282643de8cb9591c84d0aa1b39e1e9ae9864941e543f5a15718cb

Published

On Arc Testnet, block 71280839: 0xc3f6784179e0ca32236ba89472473e882a81d03fcc5ce27ca58ded2e01e112aa