Evidence row 1037900

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": 5,
      "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":"f412b4fa50eeef786afac72156dc4626c9fbdb469526832bff64494b6837355c","id":1037900,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793298246150932,"prev":784953,"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 2026-10-29 (242798 rows).

1. 0xb788eff3ab0ff582bfe868d2537f4885b826b0af86da2ac3ba2169771b1f8355
2. 0x2708737a4e9a12cd910ceb494cdfb156264ed2a0c33d64832f96e2dc5a8c4887
3. 0xf1cd05ad7090431443969ee23fffaec5425a9b221fd6e269fb0788a0c36a6ae3
4. 0x73a6427fbedeb29d933b0822b34b18aec6a62a0a31ef4b99537bfe85db17056b
5. 0x7a80c55e5bd0ac0c0bb095b3b561cb5e9c27283dac46b4cdb4f7dbc40d238735
6. 0x3aeb2e559de2f41485353229f6b91f8c904db34ffabb55520ef580aa1a798591
7. 0x3e36b92a341a95da4c1d720070afae04e8adea37d05ff610bec945a8eb9a4663
8. 0x0bc10b18dcebda59979fb4348ea004796b5f976c75e093c535dfde2cc4ca23d8
9. 0x5e1e169bdec6f4cfa98faa8f624e99dcfb5c124fe0ecd45edee2b77a63614856
10. 0x5f8d802e43954fc2e5c8e4687242feeef2faadc96e4675323720551142fd0a21
11. 0xcdd2b7270d1cd85ee5bdea49fbacb85cf2b539308ed6285e81e06d5f4ea29c24
12. 0x8a80eb72d65dfbe23a9969ac33c9e43e7f153e153880934669dd92a8581c58c8
13. 0x43b137280a2d52b448f2b8cd8b398476e85b20c963b64b48ff126cff6ec4a020
14. 0x25bdeb6e977b537e5ffb55862bdb08b7a547e08d655551b6a97e31264fefa58a
15. 0xaa1d19094c2ce6d011a3c40533fa7efee207719d6c482ffc47018b28e5518acc
16. 0xef5d5572aac8f06b61579b7167b369fcb479d9027d4037dc9cacff9e3a26ffd2
17. 0xa1fa2e97e71ad6e802f325afd74bb7095901f2060529c9739182a1233f8804bc
18. 0xe01539ac4c9f9cdf265a9e5c6d99c8da11e70ff0c7175fb23e402d33b9d79785

Day root

0xc050555c6b023f2aefb6536efb9f0760b92c30a0d06c572b7daf63db259ea17c

Chained

0x4cde8bae2042512e1bec11650628f0293556311cc4ea74d99ffddf02b671a7d6

Published

On Arc Testnet, block 69753317: 0x9e85c340732f416e431b111fae72f7624870125f7f379af2732eb6c2ba8cf6a1