Evidence row 2199345

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": "BFK9TLC3edb13K6v4YyH3DwPb5DSUpkWvb7XnqCL9b4F"
        },
        "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": "2026-11-02T13:19:00.964Z",
    "quality": {
      "l30DaysTotalCalls": 6,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-02T13:19:00.821Z"
    },
    "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":"0a89cf5c6dd9e2b52a7ebf02da71a802a012092fe7303ec79ddfc1d9d2a2db56","id":2199345,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793646768212267,"prev":1788624,"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 2026-11-02 (444186 rows).

1. 0x7c43e6b46f835c56e43b7d0d046f33bd2358141fe3761ee9845d4f6957f3f2ba
2. 0x3981dd478765af2ec7fce863e2391871a17e86cd7fe72d8392b9ddc7e3e99b87
3. 0x099c6db0d381f97dec0f125422aa5ff39d0aae8a886be7bca0af51eeafb0d9d0
4. 0x05748eaa27764da0c67f0c37074aac6c3ec5547e007828a99f8a874c16850b19
5. 0x92b5085b4b967ffe735f8337369976f2df1d7dfd5311350ff812c9e6f5a3609b
6. 0x9184642c4fa083e0fe89bfaec5bfb6ec08c5041942ebbda7651f5cf01242aa48
7. 0x77a0035bc2b1d01dc12defb236a69c8838ec95d9399cbf0a7fae75da1a14c754
8. 0x88afdd515166b23f43edf8afa564d20aca8462277f0ad7e25e3bb5cac12e3073
9. 0x3730b291dc8c344bf9c6a36917da8efc853aa7677bb322bb1bcbc25f0d2fd5ab
10. 0xe4916ef215352d0ae2dc6719737fa9aee2049a5bb83fdc5e020aee722848bb87
11. 0xba4835b6b8933e1938390e10fbaea2d501aed997dc7616319e16144711f9b5bf
12. 0x8d1e21bdb30d190f33f362fb3e038520281852ad2d6e49bf14075b805164fae9
13. 0x96da2b0c348fe4c196311a3c711ae28b065713c442f3976e291c0a6f22cb1f7e
14. 0x3e60cda43ffc319c006284ca48609bc80da357b45fb9e0a57810e00816d3e8e0
15. 0x46991481c678139203ebc3c532867ce1643c09ddc33966c4fb48bb7f033ab22f
16. 0x3b89dd05634a82075204d3c671f613081ddfd9df739c64c0a8f39081bdfa32c7
17. 0x1805ef693fbdb2c23fcb61616f830408ca89bec1dc5b68ee47a770ffc0b9760a
18. 0x4d205063c881c48edbbb37762a8d3bbb7444d4c42daa882f663a231893d25c35
19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e

Day root

0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1

Chained

0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2

Published

On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af