Evidence row 1507037

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": 4,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-28T15:11:43.298Z"
    },
    "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":"43d8679875231cdd13bced6559e7c973b1e4be2b196377f3f3e7e2ff510918a5","id":1507037,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793472668693905,"prev":1037900,"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 2026-10-31 (246033 rows).

1. 0xb7b14a9cf2d138349ccbb8bb7c3cfc7236f91df85c765992af61386311742982
2. 0x56e9b3443ffaa8a911ba1c65d5a25f20a4cd1856072d8ead2e5843a8f8b4cafb
3. 0x4a1803f03392abfe177809fd70b6fc4e63fea5f4588e2719c2fd8baa90f1eee4
4. 0xe0c784ff963668941f0ac96c543794d3801942b2228e4030859809b9adf8a0f0
5. 0xbd3cc432dcd4f751320ea509b917c399ccf4e240c110e4f395861b3aaef6e562
6. 0xc02dcb385610c4beb1163c74c8f23ab7ef3150bf7f6e2474b5b1faecc8d65aa8
7. 0x038caa7aa4a5018eeef7c1108a872b81dbb8a6dd8a33313253f68ad1ddd5dc6e
8. 0xd3cf8e2e73cc7ebb1dd396dfc8124147e04b2a27fa7cd35794a4b35223d45706
9. 0x4bb220ffa1511912d8da8e1d534853f3732bf083d33ea87296c2f73e23716fa2
10. 0x16e47a3693ec158c109ec6513672b76b4a388754991ec75a07bc46984504eaf5
11. 0x14bbd545acadab45b4ba13175ee7c2fc0aa091350f2f20fe57e7d071ad6fb47f
12. 0x4c43bdd4abc7f74027388dc651137a061fab0f92ec7ba4b2e69fd9ee04a23306
13. 0x2e3af79e569e22a770a061aed37789a38fa8f77d55a49fabc9b98ec41109db25
14. 0x8185eeafe9adefad89b2d62fb2c2a6beb3fde0409e51deb7d5c1a3c4cb40d65a
15. 0x57afe240b626bf60f6af8c76404811e95ea5519f217fac382bd159177a8ec870
16. 0x2e1cd25ce4079da9bfa6219d7ffec992149add4cd7d5c5b2cfee9908c1c8a5dd
17. 0x50003b3c3045b653f8be4232e95e80582cf5c54c14c509ba0a9a197b9e5005cb
18. 0x0504a25438f3c7932125463198ca74c5064f23f71a5c92763b3fc96a98cc8b57

Day root

0x24463725d1c0d9894bd6123691d532547aaa79f0762c0e45aa6a68acf1fd71ab

Chained

0x7d4824ff313dee7252a46f9d5c37b452851deb6c9f24a40c2f74ee0e53c82980

Published

On Arc Testnet, block 70093156: 0xedb7b832f4ebf6781b5ecd2ed241c435b862f4d3761541fa31adc1831b8c44a0