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Evidence row 415949

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-finance-marketing-return-weighted-mean
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
e5b18642efe46e515e740c372e5fe76f23072037f69a99c36a9090dc62bc5bdc
Leaf
0x737ea88e1b184c4f90a28fe30319410d580911c73a808a3756b5924c3a5b8b74

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-finance-marketing-return-weighted-mean"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-finance-marketing-return-weighted-mean",
  "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": "Marketing contribution return - Weighted result mean: Calculate a mean of up to 200 results using supplied nonnegative weights; not a pooled accounting ratio. Metric: Marketing contribution return. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded weighted result mean report.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "rows": [
                {
                  "attributed_contribution": 8000,
                  "marketing_spend": 5000
                },
                {
                  "attributed_contribution": 8800,
                  "marketing_spend": 5500
                },
                {
                  "attributed_contribution": 8000,
                  "marketing_spend": 5000
                },
                {
                  "attributed_contribution": 8800,
                  "marketing_spend": 5500
                }
              ],
              "weights": [
                1,
                2,
                1,
                2
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "finance-marketing-return-weighted-mean"
              },
              "sku": "assistant-finance-marketing-return-weighted-mean",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "rows": {
                      "default": [
                        {
                          "attributed_contribution": 8000,
                          "marketing_spend": 5000
                        },
                        {
                          "attributed_contribution": 8800,
                          "marketing_spend": 5500
                        },
                        {
                          "attributed_contribution": 8000,
                          "marketing_spend": 5000
                        },
                        {
                          "attributed_contribution": 8800,
                          "marketing_spend": 5500
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "attributed_contribution": {
                            "default": 8000,
                            "description": "Amount in a consistent supplied currency and reporting period",
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": "number"
                          },
                          "marketing_spend": {
                            "default": 5000,
                            "description": "Amount in a consistent supplied currency and reporting period",
                            "exclusiveMinimum": 0,
                            "maximum": 1000000000000,
                            "minimum": 0,
                            "type": "number"
                          }
                        },
                        "required": [
                          "attributed_contribution",
                          "marketing_spend"
                        ],
                        "type": "object"
                      },
                      "maxItems": 200,
                      "minItems": 2,
                      "type": "array"
                    },
                    "weights": {
                      "default": [
                        1,
                        2,
                        1,
                        2
                      ],
                      "items": {
                        "default": 1,
                        "maximum": 1000000000000,
                        "minimum": 0,
                        "type": "number"
                      },
                      "maxItems": 200,
                      "minItems": 2,
                      "type": "array"
                    }
                  },
                  "required": [
                    "rows",
                    "weights"
                  ],
                  "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": "2026-10-27T03:54:40.019Z",
    "quality": {
      "lastCalledAt": "2026-10-27T03:54:40.019Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-finance-marketing-return-weighted-mean",
    "tags": [
      "ai",
      "business-finance",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Marketing contribution return - Weighted result mean: Calculate a mean of up to 200 results using supplied nonnegative weights; not a pooled accounting ratio. Metric: Marketing contribution return. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded weighted result mean report."
}

What the leaf hashes

{"body":"e5b18642efe46e515e740c372e5fe76f23072037f69a99c36a9090dc62bc5bdc","id":415949,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793080825994186,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-finance-marketing-return-weighted-mean","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (273461 rows).

  1. 0x737f0fb6b1e8e07624027f507dd1ed7dd61c54602175966141dcda5a35d599d8
  2. 0xbf603d3a26ff77a61e40b464e99e51a0bd91f7e3c71a6000d2b7c7af9ea6a314
  3. 0xc5fe2b9c7951d0b9181340daecb2f5ddf88d6dde86f9e5d8ee472e13e7309f0e
  4. 0x8758b0945e79383b98cf069f2fe886fc19ab9aa86ec620741c97801d22a9e8be
  5. 0x161fc9d49427a935d99be0932576e3d3cd8c4185e0e2803bc6e40c8161580d12
  6. 0xa061605fd54d6d4ffdcc5fd671268d74c549b8750b502f06357bbfb0d80bafca
  7. 0x2e6656de3d8b9b1c35d070f3028f71fbfc7ca624f341e9c9c5540c8b7f38147f
  8. 0x880f076f1c207d554bc45298548bbbbd75dc816ab0a5b3810ef21c325b93dabf
  9. 0x927251769b3a256e543d4e5af0e8cd942fe4a2758d24b83799c28db9b3dd4129
  10. 0x11c2ba5398610ba969fa9e2d9be3cadf1959236d2613e35d3b96b8c22894e418
  11. 0x87d9722f6144a6bdbc601abce8aa277e4125cc680211131dcb21639e43daeffd
  12. 0x58a1b7d7965722efb70d69acfb10b39e77f817864b8d4b4069d33ff29884a3bd
  13. 0x4094bd5bc2ab60e4518d1ee8a13455a69d7484ea62ecdca2618d0f39d3403503
  14. 0x9848c068b1371232529d2b5738fdc45b854c57da041b69ea7c9e112b14e2d9d1
  15. 0x275720ecabb68df33eee92ae4fd70572a8d952d6c61c061c2869cfc3217aa5c5
  16. 0x23cf9bb4337ee8be7fcae368fd69d24c62c11fb45882127b4cd919bb96a19996
  17. 0x0e01aa9525097570a6edaf32bfc959de57bf5c24317cf10c0716affea85ca60d
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON