Evidence row 123981

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": "Hc3sdEAsCGQcpgfivywog9uwtk8gUBUZgsxdME1EJy88"
        },
        "maxTimeoutSeconds": 300,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "3nmeVj5m9Uq2hSTfsVsn3tJMHRJQNMKR1AjzyUJbrSgw",
        "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"
        }
      }
    },
    "lastUpdated": "2026-10-01T11:02:13.278Z",
    "quality": {
      "l30DaysTotalCalls": 1,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-01T11:02:13.147Z"
    },
    "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":"1019d0539abf0f97ef9a6573f9a3935277f9ec505228028fd1982529af766505","id":123981,"kind":"listing","method":"baseline/1","observed_us":1793025623964276,"prev":null,"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 2026-10-26 (296695 rows).

1. 0x4a958307c1ab40dc51afeadcc875dbac3d7363125ee21a42c74b121d9ff96a00
2. 0xaa7f2cb08baed47eb40bfdd87c793c0c5b074692786b066fa8c565215c17d7b8
3. 0xfd35f325dadc19be77972c29a7d706fa6d4a4b215f6075323ac084f025db7d57
4. 0x88d0dc8080f735a17b079fe3d083f9e742732f9256da1aa6470ef5e92c7f4e0c
5. 0x92c48bc33659b816b2ce4cd5a5a1f839158a39c00cc9bc90593161e80a7eac5d
6. 0x0bf55ba148b001f3a8b4dee092c3dba1845127afa58e66e306ea033f9915fa5e
7. 0x5e491f8e9ab064b8c5b0e640986f041dd0a814adcc1bb69ddf60cb26ecb2d75d
8. 0x2edd5d51e41bb41b09678bea8f406e73a25b0e1345c1e9e2bfc39a4abff04d19
9. 0x3524309e6831e713c362548f4a446e06df06f23708410213dd9d60ebcd20a204
10. 0xb9c44c195c511a74ed82b24db714e43b1a5a80029db27888948baa71082b81f9
11. 0x401a323dfcffdb4ec1a75537dabf1f5c7403e6d01d2965f0f6eba13263cf7c64
12. 0x67ae8949b58cb7b0dd4cfa0f9aeeee715e0ae6b87fef0ba46483bbf280004c53
13. 0x1ffd24a0422348bb2305058cc138e276511e1c074bf8139af5b773941f0e5de2
14. 0x88e326a39b26e2c125306c9d3805d14398ace088bba9a2a0aa376b811cfb201a
15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae