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Evidence row 125230

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://x402-factory.com/v1/forecast/san-diego
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
7c97da60d3f1254713b833129259c4e031167d78cd3f356cec4b944111c2d232
Leaf
0x75aa12bc5ea91441d230186c13fcf8529562740a3af91b90a836de012ba88547

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": 3,
      "l30DaysUniquePayers": 3,
      "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":"7c97da60d3f1254713b833129259c4e031167d78cd3f356cec4b944111c2d232","id":125230,"kind":"listing","method":"baseline/1","observed_us":1793025625961969,"prev":null,"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 (296695 rows).

  1. 0x75aa3431cbd47e4b7e1a08e03986dc8f251fb781031a45445135983d8d00102f
  2. 0xa546d0eb734c1b8b0bd5a8645c4d10db9e39fb533d33e60e6ab90d6c4a18aaf1
  3. 0x7d3fe99a59e788303b16c3b2aaa37115f3cbd9634b1a621404a6938d2c23e00d
  4. 0x5312127a166f0f503c56b1cb630e4b9235d2cd85f42102afd95404da749e1e21
  5. 0x30e1f1dd60a7a9204ca4ba50bc89e377a83392a796bdeee6e814ed9da8aac141
  6. 0x4d399b2eac330f3808c3c983671c2a33fdf45c61b0469287aa05cf1abdd10f19
  7. 0x7b674f9334c8835417b4c0966b441402d4782d15f69e0839a2eeef74e184782d
  8. 0xaba699b647960e76bba2da855376dce0015adb3f9310723b71237b3d57e9a911
  9. 0x528dd18f50b92eaed3d5ec141250b283a7673bd8a60d7bab710c19253b03bfda
  10. 0x32fc3b4924b2ed62acb146c2238d1a5ccc6a451511d89297319be57be5e16c50
  11. 0x93bf58b59f9e2faa3bacdd73462869691f5329b6fe90d298d0df66b6273fb710
  12. 0x43ccc5fffcdb82bff6ecf4ac7157c905b45d2f0362e7f7fbe908de1250b9533c
  13. 0xdef3cab0b4070d8ad7f4f91288da4881d19789f131b1b353621df79df04a0617
  14. 0xc4fe2177880ea1b0e82b6fe4c270090fd0fbe5af3a42a8cbf6a6ba2fa35625f6
  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