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Evidence row 427290

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
#415949
Body SHA-256
9a0803823ca2dfa71b5323405dd0167dbcca1796f6bff7b703ad0edded7e09ff
Leaf
0x0f20d342b4a2397510432244be552eb5cc3590145a1b45d69bf1141743164ee3

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": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-27T03:54:39.817Z"
    },
    "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":"9a0803823ca2dfa71b5323405dd0167dbcca1796f6bff7b703ad0edded7e09ff","id":427290,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793086335785033,"prev":415949,"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. 0x0f20eedbe53a5ae6a18153df2a081c05710ac222cc82b003ae26fd3be81aef31
  2. 0x9ba30252af6a4d6497226fdf66699096cd8abd37b474032afbb436a118f862fd
  3. 0x17a31e42e7d0b2c95bada82119a2a0930a092c4fe90cc62b95728814d67dc71b
  4. 0x62a52e8423ee55d5307ec0bcefd85382d2a6a8e4ce3a9f633de98743e22f1428
  5. 0x0a671f563a60b743545d7d171ede8f97ce1b6ae29e7a9bb8b92bed4f7091d0e2
  6. 0x002b05e8d8deaf326d422bace6bfa5d2c10e3fd5712d74c42a0e0c0ec481d811
  7. 0x24b83f68aa245ff11e8d1b22c4cbc9169b33ddd84789fe7a12fa7d00e635bc31
  8. 0x89978a2323aa8e2dd6f514521216e3365f9e9535cd82c00a27b173c28c1a0fe2
  9. 0x3be92d769301d52a806024dfe3d96f9014acc04d25ff8567e506cb37812a8041
  10. 0x3324226ef6439ba555d292fabbb2b6297d76704172ae3e5401de83f038382a74
  11. 0xeaa85500d1d950bbc5368f8c449457f4c36bb01a9a460f0c2aedbe49bdc0e2a3
  12. 0x7cd06df307fe3d7d57464d35c7dee68ec2e0c9035898fd7f919c08ed5fd0a5fb
  13. 0xa5d3d95b495ae2191612e64fe151fe065497e5ecb73bb111e1fabb6b3628f3de
  14. 0x3e0ec8a2a8a954695a9b53a4a48a7656d7e3fd6a8795c73b49e2ef05b201ec3f
  15. 0x2cf27e8a181d60d0dd27c186c2eddfcbb4e8fa71cf66feeb55a4d730e15ee8c4
  16. 0x518b93854db03dc9fc938883abf30da6eaae5ae0d4336903968fd32a7df8c71b
  17. 0x22c1fb9487ee0b9732fa017a0cc321eb27a60c08450d112f755089796e12cb1c
  18. 0xa20d48798a34aba12eb9c7297722982d910f06c148f5e27ac59307422964a585
  19. 0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699
Day root
0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795
Chained
0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4
Published
On Arc Testnet, block 69414147: 0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4

How to check it · This row as JSON