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Evidence row 56123

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://pjm-nowcast-production.up.railway.app/v1/spread/probability-card
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
29ea98753a367d4f47f0a3ae4392bc3c219d3b3fbfc6b37164b434c9cd6cc3d3
Leaf
0x47da84b5cccded3f2e5c5d5471170bf4ce6ab6131184ed49aefd0b0ca592e785

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://pjm-nowcast-production.up.railway.app/v1/spread/probability-card"
    ]
  ],
  "name": "pjm-nowcast",
  "owner_address": "0x34cfb8bdbf16e4484b7da0ed31deed5771b16c8f",
  "raw": {
    "accepts": [
      {
        "amount": "250000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxAmountRequired": "250000",
        "maxTimeoutSeconds": 60,
        "network": "eip155:8453",
        "payTo": "0x34cfb8bdbf16e4484b7da0ed31deed5771b16c8f",
        "price": "0.25",
        "scheme": "exact"
      },
      {
        "amount": "250000",
        "asset": "USDC",
        "maxAmountRequired": "250000",
        "maxTimeoutSeconds": 60,
        "network": "solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp",
        "payTo": "DCi9X5mmacNGLeJvCw9fdWgX3G8V4QquDn4EuXATkcYr",
        "price": "0.25",
        "scheme": "exact"
      }
    ],
    "description": "PJM zonal spread jump probability. empirical probability card for the evening congestion bar. whenToUse: next on-peak day or trailing congestion-season check. whenNotToUse: month-ahead, season-ahead, Black vol, a price forecast.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "lookbackDays": 5
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "K": 12.4,
              "avgPayoff": 1.8,
              "hitRate": 0.4,
              "sample": {
                "dayCount": 5,
                "tag": "high-congestion-season"
              }
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "asOf": {
                      "description": "Optional ISO-8601 sample end. Default: now.",
                      "type": "string"
                    },
                    "lookbackDays": {
                      "default": 5,
                      "description": "Trailing on-peak EPT weekdays (skip weekends and NERC holidays). Default 5, max 30.",
                      "maximum": 30,
                      "minimum": 1,
                      "type": "integer"
                    }
                  },
                  "required": [
                    "lookbackDays"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST",
                    "PUT",
                    "PATCH"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "description": "empirical probability card. Empirical only. Not a forecast, not a mid.",
                  "example": {
                    "K": 12.4,
                    "avgPayoff": 1.8,
                    "hitRate": 0.4,
                    "sample": {
                      "dayCount": 5,
                      "tag": "high-congestion-season"
                    }
                  },
                  "properties": {
                    "K": {
                      "type": "number"
                    },
                    "avgPayoff": {
                      "type": "number"
                    },
                    "buyerBeware": {
                      "type": "string"
                    },
                    "dailyMaxP50": {
                      "type": "number"
                    },
                    "dailyMaxP95": {
                      "type": "number"
                    },
                    "hitDays": {
                      "type": "integer"
                    },
                    "hitRate": {
                      "type": "number"
                    },
                    "latestCompleteDay": {
                      "type": "object"
                    },
                    "latestNowcast": {
                      "type": "object"
                    },
                    "sample": {
                      "properties": {
                        "dayCount": {
                          "type": "integer"
                        },
                        "firstEptDate": {
                          "type": "string"
                        },
                        "lastEptDate": {
                          "type": "string"
                        },
                        "tag": {
                          "const": "high-congestion-season",
                          "type": "string"
                        }
                      },
                      "type": "object"
                    }
                  },
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-26T05:48:19.674Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T05:48:19.495Z"
    },
    "resource": "https://pjm-nowcast-production.up.railway.app/v1/spread/probability-card",
    "serviceName": "pjm-nowcast",
    "tags": [
      "pjm",
      "spread",
      "on-peak",
      "residual",
      "jump"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "PJM zonal spread jump probability. empirical probability card for the evening congestion bar. whenToUse: next on-peak day or trailing congestion-season check. whenNotToUse: month-ahead, season-ahead, Black vol, a price forecast."
}

What the leaf hashes

{"body":"29ea98753a367d4f47f0a3ae4392bc3c219d3b3fbfc6b37164b434c9cd6cc3d3","id":56123,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793025437368314,"prev":null,"subject":"x402_bazaar:https://pjm-nowcast-production.up.railway.app/v1/spread/probability-card","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x47da8f38b6a2dbe2827e2eefe273ca2dd37ddfda2c381cd4b9bbfd988c88fb4a
  2. 0x41091ded302d905cde76708d07e322b2dfba1468e5bc039099e3836025afad50
  3. 0xa520548daf6f74cbc9fbe83adfc617283381756e291de529ff29f3ed84fb88a0
  4. 0xaca51cc746c63bcb9cdeea1a409015d4f505cdfb051e7acf67e0fafcb1fb67b1
  5. 0x8587eeb969275a6a5c6f845faf54004e06e0e8558a02df56d00a89310507e74d
  6. 0xe3a5945d826f92ab2eac91499cc62baffea4af480ce782d7ff8df8119d1be624
  7. 0x50416b4ea0b6ab97288bf17324c745d092b2553bc7b1a4e9ea5a1a7b9a17e39a
  8. 0xc4bb409ac64d345eeb4e3bf1adbf14204a599332c387cc4e135ee2e4c1b3c4b5
  9. 0xf02d809f1bfb0c9c066592febb7be763756e0e3c85b36321e582d37336797b8c
  10. 0x67d81f51788e4acdc8f36ca9346a133b005814670585625cf73534b4509e188a
  11. 0x263cc8bcddc70acc00ef06b84397a006a822410dc2b18b714a0be72a820c5b17
  12. 0xae3550e71ca4b0f0b86c9905b234388d6bc01a22e52324fb1ee62a553273a1fe
  13. 0xb86fa861d04737cb507e721eefbb066d26528fdb6017b1145c18d1223b93ee21
  14. 0x88e326a39b26e2c125306c9d3805d14398ace088bba9a2a0aa376b811cfb201a
  15. 0x2be1e80e065dd6b2cc75a7142be22225acd144ac975d70bf24b4f01fd76dc497
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON