Evidence row 784953

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://weather.lonestaroracle.xyz/forecast"
    ]
  ],
  "name": "WeatherOracle",
  "owner_address": "0x52ab53912d37759b2ad364f22dd06b16714b6c06",
  "raw": {
    "accepts": [
      {
        "amount": "20000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x52Ab53912D37759B2ad364f22dD06B16714b6C06",
        "scheme": "exact"
      },
      {
        "amount": "20000",
        "asset": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
        "extra": {
          "feePayer": "D6ZhtNQ5nT9ZnTHUbqXZsTx5MH2rPFiBBggX4hY1WePM"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "3nmeVj5m9Uq2hSTfsVsn3tJMHRJQNMKR1AjzyUJbrSgw",
        "scheme": "exact"
      },
      {
        "amount": "20000",
        "asset": "0x3600000000000000000000000000000000000000",
        "extra": {
          "assetTransferMethod": "eip3009",
          "name": "USDC",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:5042",
        "payTo": "0xeF2a4B6756895aAf1374640dcFCD4947959442ab",
        "scheme": "exact"
      }
    ],
    "description": "GFS+ECMWF ensemble temperature probability for NWS weather prediction markets",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "city": "example",
              "date": "example",
              "direction": "greater",
              "threshold": 1
            },
            "type": "http"
          },
          "output": {
            "example": {
              "city": "Chicago",
              "confidence": "medium",
              "data_source": "7-model consensus via Open-Meteo: GFS, ECMWF, ICON, GEM, HRRR, NAM, NBM (all free)",
              "days_out": 5,
              "direction": "greater",
              "ensemble_members": 31,
              "mean_high_f": 71.4,
              "prob_exceeds": 0.312,
              "rain_probability": 0.18,
              "std_high_f": 3.2,
              "summary": "Chicago on 2026-04-26: P(high > 73°F) = 31.2% | Mean 71.4°F ± 3.2°F | Confidence: medium",
              "target_date": "2026-04-26",
              "threshold_f": 73
            },
            "format": "json",
            "type": "object"
          }
        },
        "schema": {
          "category": "weather",
          "description": "7-model consensus + 80 ensemble members (GEFS 30 + ECMWF 50). Returns blended prob_exceeds (empirical + Gumbel), trade signal (YES/NO/PASS), ensemble_empirical_prob, method_divergence (forces PASS if >0.15), and outlier model. Coordinates aligned to NWS ASOS settlement stations used by Kalshi and Polymarket.",
          "name": "LoneStarOracle — WeatherOracle",
          "properties": {
            "input": {
              "properties": {
                "method": {
                  "enum": [
                    "GET",
                    "HEAD",
                    "DELETE"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "properties": {
                    "city": {
                      "title": "City",
                      "type": "string"
                    },
                    "date": {
                      "title": "Date",
                      "type": "string"
                    },
                    "direction": {
                      "default": "greater",
                      "title": "Direction",
                      "type": "string"
                    },
                    "threshold": {
                      "title": "Threshold",
                      "type": "number"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "city": "Chicago",
                  "confidence": "medium",
                  "data_source": "7-model consensus via Open-Meteo: GFS, ECMWF, ICON, GEM, HRRR, NAM, NBM (all free)",
                  "days_out": 5,
                  "direction": "greater",
                  "ensemble_members": 31,
                  "mean_high_f": 71.4,
                  "prob_exceeds": 0.312,
                  "rain_probability": 0.18,
                  "std_high_f": 3.2,
                  "summary": "Chicago on 2026-04-26: P(high > 73°F) = 31.2% | Mean 71.4°F ± 3.2°F | Confidence: medium",
                  "target_date": "2026-04-26",
                  "threshold_f": 73
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "tags": [
            "weather",
            "forecast",
            "prediction-market",
            "kalshi",
            "probability",
            "gfs"
          ],
          "type": "object",
          "version": "1.0.0"
        }
      },
      "merchant": {
        "contact": "jay@lonestaroracle.xyz",
        "name": "LoneStarOracle",
        "operator": "direct (not a gateway or reseller)",
        "payTo": {
          "eip155:4663": "0xeF2a4B6756895aAf1374640dcFCD4947959442ab",
          "eip155:5042": "0xeF2a4B6756895aAf1374640dcFCD4947959442ab",
          "eip155:8453": "0x52Ab53912D37759B2ad364f22dD06B16714b6C06",
          "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp": "3nmeVj5m9Uq2hSTfsVsn3tJMHRJQNMKR1AjzyUJbrSgw"
        },
        "url": "https://lonestaroracle.xyz"
      }
    },
    "lastUpdated": "2026-10-28T15:11:43.456Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-28T12:06:33.553Z"
    },
    "resource": "https://weather.lonestaroracle.xyz/forecast",
    "serviceName": "WeatherOracle",
    "tags": [
      "weather",
      "forecast",
      "prediction-market",
      "kalshi",
      "probability"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "GFS+ECMWF ensemble temperature probability for NWS weather prediction markets"
}

What the leaf hashes

{"body":"06e26824eafc4f0b319c4744cf0eb4ba31687fe2d166cdc90c68f04686fc98fc","id":784953,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793211187664814,"prev":123981,"subject":"x402_bazaar:https://weather.lonestaroracle.xyz/forecast","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-28 (231336 rows).

1. 0x0b4f2f3179d75b3279a4e9aa9787457ad17b7bf88220559ed6f0ce1faa2dc136
2. 0x782bbde6d8cb63f114524ed57799f10f472eed15b4f3bf50e051a369912d4138
3. 0x8863abedd14bc48e411efaef35e04311a7bcd912f53db665378d5f40656ff84d
4. 0x2e87f3fcaa8d440b0c41b20674cdf295af257674e6cc3b9f7ecea5be67c0f7e9
5. 0x14a70695e90c4e053ae1de95812b4b92482d8267cfab220d970f04c988ad7bda
6. 0xccee4d75e1d7b99d83910dd697ab986afced05b08134aa3d73307dff0f91f26b
7. 0xb14dcd54f3203cb015ce9065293097e12079bb7146a4acb91bfcc07f7f643572
8. 0xd2fe1aa4de534b742e12372f2ff3a5fa4aea359f11b65b57726da351155729ba
9. 0xa821a8afa08c1fdb3ba0a456874b6c5fb6a36b98a983062b26a7c15ae86304cd
10. 0xe01d0f1daeb6b5033dfaa0274f468e81bb73e762ff58e00c695e683b18061d2b
11. 0x66cc93bf3490099d76f8da30d3812f9f0c79d7fe21152dd1638ffa57de9f7815
12. 0x52eb63b6c4d11c73617a1baaf8688765bbe62759c01938a810ec6bac6f24442c
13. 0x73d3610e2c08ca27a37c12207c5d9bd9e90f1ab1c3656d7edfb5cdf604e1958e
14. 0xd255034c045ff2574d11cb3757ffb240536c7380f2dfbe54e8a41bd8797bd254
15. 0x2d4bed6c1c0f427d29eba935cdedcc76c72935d41919903a3b217a8ffca38438
16. 0x35e8995c30094446ec790423171382fccb377081b921295b0ae3840cc2c4f52c
17. 0xf078ea7d84d98dbeffed23d8e67b36751e60464ffd4cfdc005e0aa6f8cb9b459
18. 0xe027395fafb7fc41921c42ca0542524ea22204cbd5908b70b27f3d5fb26f5d0f

Day root

0x2c19037464cc4c493624565f01775d6446fc78eaa118fc6865bfe2bfca9ff78e

Chained

0xd1d7dee8322ceff8f4c8d83aa1fe4a4466825c2af1c97dbde3d35db61234f7be

Published

On Arc Testnet, block 69584042: 0x8bae2b1d097834c8b458513862d70d29ee807e98dc2e863b27250131c15b35ae