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Evidence row 116211

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-retail-average-order-waterfall
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a141039fcfd663bd42076d45779bb4bc5561e3b82eb7e381a851ca759f5c0e35
Leaf
0x664286c671adacec04ef03c019b94fcde7693aee59f9c8aed7a94c94616d33d0

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-retail-average-order-waterfall"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-retail-average-order-waterfall",
  "owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
        "scheme": "exact"
      }
    ],
    "description": "Average order value - Sequential input-change attribution: Sequential input-change attribution for Average order value. Supplied retail figures only. Local calculation and scenario analysis; no live inventory, account access, platform fee lookup or order execution. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded sequential input-change attribution deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "after": {
                "net_order_revenue": 3300.0000000000005,
                "orders": 110
              },
              "before": {
                "net_order_revenue": 3000,
                "orders": 100
              }
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "sector-retail-average-order-waterfall"
              },
              "sku": "assistant-sector-retail-average-order-waterfall",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "after": {
                      "additionalProperties": false,
                      "default": {
                        "net_order_revenue": 3300.0000000000005,
                        "orders": 110
                      },
                      "properties": {
                        "net_order_revenue": {
                          "default": 3000,
                          "maximum": 1000000000000,
                          "minimum": -1000000000000,
                          "type": "number"
                        },
                        "orders": {
                          "default": 100,
                          "exclusiveMinimum": 0,
                          "maximum": 1000000000000,
                          "minimum": 0,
                          "type": "number"
                        }
                      },
                      "required": [
                        "net_order_revenue",
                        "orders"
                      ],
                      "type": "object"
                    },
                    "before": {
                      "additionalProperties": false,
                      "default": {
                        "net_order_revenue": 3000,
                        "orders": 100
                      },
                      "properties": {
                        "net_order_revenue": {
                          "default": 3000,
                          "maximum": 1000000000000,
                          "minimum": -1000000000000,
                          "type": "number"
                        },
                        "orders": {
                          "default": 100,
                          "exclusiveMinimum": 0,
                          "maximum": 1000000000000,
                          "minimum": 0,
                          "type": "number"
                        }
                      },
                      "required": [
                        "net_order_revenue",
                        "orders"
                      ],
                      "type": "object"
                    }
                  },
                  "required": [
                    "before",
                    "after"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-26T01:33:20.32Z",
    "quality": {
      "lastCalledAt": "2026-10-26T01:33:20.32Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-retail-average-order-waterfall",
    "tags": [
      "ai",
      "sector-retail",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Average order value - Sequential input-change attribution: Sequential input-change attribution for Average order value. Supplied retail figures only. Local calculation and scenario analysis; no live inventory, account access, platform fee lookup or order execution. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded sequential input-change attribution deliverable."
}

What the leaf hashes

{"body":"a141039fcfd663bd42076d45779bb4bc5561e3b82eb7e381a851ca759f5c0e35","id":116211,"kind":"listing","method":"baseline/1","observed_us":1793025609420981,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-retail-average-order-waterfall","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. 0x66423dbcff8d4c167444f2605e898954f5c0d75df112944f3df1edf854a370f9
  2. 0x3a5e80c2772251f98d4e0354a1711a5d35d99d23a632c0bdaf378035c0d119de
  3. 0x514fcd8782837bdec775e085473fc0ec0f858b931bf1e17e1124a73d5041145e
  4. 0x2a1da5b6df49c3093940b5c88f98bcc40d21bc9016110cf1f2afb422b2ec86da
  5. 0x7abff8aba97c92f2f8569ef4006c4fa5876ff87e68141681987812eea32f3470
  6. 0x79ab6980853605cf83537036ebca8df2dd65a6e1bd913b82a1749de7b2d99141
  7. 0x888391404305fdb8f3c7f9788976b9a71e52178324b92d5bd221b4c41a8fdb5a
  8. 0x2c9651ee5049ff17c17dd2a9b45db3f30031282e6c3d3d26743ea5c98d82dc20
  9. 0xa22cefd99c32eb3b42c630c0f6ce80c275c3886adef0fb6358d3cdbc91fa0fc2
  10. 0x58c0a36fd4c0b127730a3ff2bd4a0e6279da1a965147e7629a7fd4098c5fed18
  11. 0x97befbe0402dae50d99027054f0d354513b22fda782f887ba0d9fae94219c296
  12. 0x611b1c1b68d04a71934006e383071a8f3836400d60beb86d81dd038bc102029f
  13. 0x13f4b94ecf613d585c952b5363dad2b247a55371eb8e358bb89dc033e83128b1
  14. 0x9a79c65e077cd9da9d436b3ade6f5ddc0d244510c4d5903ef2f02d81205f7666
  15. 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
  16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
  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