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Evidence row 204079

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-retail-ad-spend-return-stress-grid
Recorded
Previous row
#116200
Body SHA-256
9a8e5c63079d926c986068a86996157fbb235e4a72a866843d3c67ec8d5553ea
Leaf
0xeeb5806fe3fc7cbcb529ee8ffe61b734fefd7b489483d95889ba6767b833c22a

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-retail-ad-spend-return-stress-grid"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-retail-ad-spend-return-stress-grid",
  "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": "Attributed return on ad spend - Two-input scenario grid: Two-input scenario grid for Attributed return on ad spend. 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 two-input scenario grid deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "baseline": {
                "ad_spend": 1000,
                "attributed_revenue": 5000
              },
              "field_x": "attributed_revenue",
              "field_y": "ad_spend",
              "values_x": [
                5000,
                5500
              ],
              "values_y": [
                1000,
                1100
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "sector-retail-ad-spend-return-stress-grid"
              },
              "sku": "assistant-sector-retail-ad-spend-return-stress-grid",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "baseline": {
                      "additionalProperties": false,
                      "default": {
                        "ad_spend": 1000,
                        "attributed_revenue": 5000
                      },
                      "properties": {
                        "ad_spend": {
                          "default": 1000,
                          "exclusiveMinimum": 0,
                          "maximum": 1000000000000,
                          "minimum": 0,
                          "type": "number"
                        },
                        "attributed_revenue": {
                          "default": 5000,
                          "maximum": 1000000000000,
                          "minimum": -1000000000000,
                          "type": "number"
                        }
                      },
                      "required": [
                        "attributed_revenue",
                        "ad_spend"
                      ],
                      "type": "object"
                    },
                    "field_x": {
                      "default": "attributed_revenue",
                      "enum": [
                        "attributed_revenue",
                        "ad_spend"
                      ],
                      "type": "string"
                    },
                    "field_y": {
                      "default": "ad_spend",
                      "enum": [
                        "attributed_revenue",
                        "ad_spend"
                      ],
                      "type": "string"
                    },
                    "values_x": {
                      "default": [
                        5000,
                        5500
                      ],
                      "items": {
                        "default": 1,
                        "maximum": 1000000000000,
                        "minimum": -1000000000000,
                        "type": "number"
                      },
                      "maxItems": 10,
                      "minItems": 1,
                      "type": "array"
                    },
                    "values_y": {
                      "default": [
                        1000,
                        1100
                      ],
                      "items": {
                        "default": 1,
                        "maximum": 1000000000000,
                        "minimum": -1000000000000,
                        "type": "number"
                      },
                      "maxItems": 10,
                      "minItems": 1,
                      "type": "array"
                    }
                  },
                  "required": [
                    "baseline",
                    "field_x",
                    "values_x",
                    "field_y",
                    "values_y"
                  ],
                  "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": "2026-10-26T01:03:46.767Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T01:03:46.572Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-retail-ad-spend-return-stress-grid",
    "tags": [
      "ai",
      "sector-retail",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Attributed return on ad spend - Two-input scenario grid: Two-input scenario grid for Attributed return on ad spend. 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 two-input scenario grid deliverable."
}

What the leaf hashes

{"body":"9a8e5c63079d926c986068a86996157fbb235e4a72a866843d3c67ec8d5553ea","id":204079,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793026302051545,"prev":116200,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-retail-ad-spend-return-stress-grid","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. 0xeeb4e9b88cc8a06410fa60c1fc29c4c8773edb1653e0328e8b2d3307f5831717
  2. 0xd4cb229d11f4151a23e9ddf1e8b6aa8085ad3a5a1680f85d55db7ab10324dcde
  3. 0x6ca778d1367ae2da140d7d6c2d26bcc5130aad7e411c171712d69262985fd435
  4. 0x1068912a40eb233530f7525c93d2860a6f7f8ad33b1265633be1612b3c4de1e1
  5. 0x286c754417d8139285f4ed58efbe040322e698f8f65121d085a7c0794f3815d8
  6. 0x8988e1e4915a3464cd542280a6f4d288265c74f91dc55f580d09124c929d900b
  7. 0x1dd7148a412a194b71360f66816c4c3ed72b719d1d2bea8bccb92a0948da5b20
  8. 0x5dda28a9cb5b21a6c7f08ffe0113d809f2239ae042aaa089a6503acd711db86d
  9. 0xc2802e175466f90063abc5e22614fde16de6a0b7d11b3f61692936b273000d81
  10. 0x6a342165fe5c2fa8b0f8cd8b99ab88e01f9e0a758f16ba9193ba775d71446fbb
  11. 0xd1f02e907670bf2f4c72056210a7d4ee252934850293a927f852acd3952f44a4
  12. 0xb0cc0b4ce5a68e83d3e3e55b0387f828adf6f5eb6cfa666d75f6e16ed9d89c1f
  13. 0x746e9e5b6765727b6b96f41204cc115b0302259f6c67be0cf0efbf245601d500
  14. 0x614d844c9e0509d9f9e63697aa2935555bce5f13695a8dc0047aa9e9898d70b3
  15. 0x95657a7d540ed6cac0bde9995782333b2562a9a6641853269ac95148827410f0
  16. 0x5fb5dda563336cd1bc1b9f44c52b76237ae72ed2145cb9290f39f304ca7dd678
  17. 0x74a0a08e4e7ab9aa5bfbead33dec7e1c7e8e364cff69a63720d764bbe987aadc
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON