addrbookFor publishers
← The evidence ledger

Evidence row 204001

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-finance-gdp-expenditure-correlation
Recorded
Previous row
#80303
Body SHA-256
7aa43622243279c8c4508cd32d402e3ff888ee80caab0d80ddc24cf6c2060490
Leaf
0x07981c5ee502da4a311610d73f45b102320f515ace73511cb440a0d452e8ccf3

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-finance-gdp-expenditure-correlation"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-finance-gdp-expenditure-correlation",
  "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": "GDP expenditure identity - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: GDP expenditure identity. 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 benchmark correlation report.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "benchmarks": [
                10,
                20,
                30,
                40
              ],
              "rows": [
                {
                  "consumption": 600,
                  "exports": 150,
                  "government_purchases": 250,
                  "imports": 200,
                  "investment": 200
                },
                {
                  "consumption": 660,
                  "exports": 165,
                  "government_purchases": 275,
                  "imports": 220.00000000000003,
                  "investment": 220.00000000000003
                },
                {
                  "consumption": 600,
                  "exports": 150,
                  "government_purchases": 250,
                  "imports": 200,
                  "investment": 200
                },
                {
                  "consumption": 660,
                  "exports": 165,
                  "government_purchases": 275,
                  "imports": 220.00000000000003,
                  "investment": 220.00000000000003
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "finance-gdp-expenditure-correlation"
              },
              "sku": "assistant-finance-gdp-expenditure-correlation",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "benchmarks": {
                      "default": [
                        10,
                        20,
                        30,
                        40
                      ],
                      "items": {
                        "default": 1,
                        "maximum": 1000000000000000000,
                        "minimum": -1000000000000000000,
                        "type": "number"
                      },
                      "maxItems": 200,
                      "minItems": 2,
                      "type": "array"
                    },
                    "rows": {
                      "default": [
                        {
                          "consumption": 600,
                          "exports": 150,
                          "government_purchases": 250,
                          "imports": 200,
                          "investment": 200
                        },
                        {
                          "consumption": 660,
                          "exports": 165,
                          "government_purchases": 275,
                          "imports": 220.00000000000003,
                          "investment": 220.00000000000003
                        },
                        {
                          "consumption": 600,
                          "exports": 150,
                          "government_purchases": 250,
                          "imports": 200,
                          "investment": 200
                        },
                        {
                          "consumption": 660,
                          "exports": 165,
                          "government_purchases": 275,
                          "imports": 220.00000000000003,
                          "investment": 220.00000000000003
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "consumption": {
                            "default": 600,
                            "description": "Amount in a consistent supplied currency and reporting period",
                            "maximum": 1000000000000,
                            "minimum": 0,
                            "type": "number"
                          },
                          "exports": {
                            "default": 150,
                            "description": "Amount in a consistent supplied currency and reporting period",
                            "maximum": 1000000000000,
                            "minimum": 0,
                            "type": "number"
                          },
                          "government_purchases": {
                            "default": 250,
                            "description": "Amount in a consistent supplied currency and reporting period",
                            "maximum": 1000000000000,
                            "minimum": 0,
                            "type": "number"
                          },
                          "imports": {
                            "default": 200,
                            "description": "Amount in a consistent supplied currency and reporting period",
                            "maximum": 1000000000000,
                            "minimum": 0,
                            "type": "number"
                          },
                          "investment": {
                            "default": 200,
                            "description": "Amount in a consistent supplied currency and reporting period",
                            "maximum": 1000000000000,
                            "minimum": -1000000000000,
                            "type": "number"
                          }
                        },
                        "required": [
                          "consumption",
                          "investment",
                          "government_purchases",
                          "exports",
                          "imports"
                        ],
                        "type": "object"
                      },
                      "maxItems": 200,
                      "minItems": 2,
                      "type": "array"
                    }
                  },
                  "required": [
                    "rows",
                    "benchmarks"
                  ],
                  "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": "2026-10-26T01:30:01.598Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-26T01:30:01.397Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-finance-gdp-expenditure-correlation",
    "tags": [
      "ai",
      "economic-analysis",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "GDP expenditure identity - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: GDP expenditure identity. 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 benchmark correlation report."
}

What the leaf hashes

{"body":"7aa43622243279c8c4508cd32d402e3ff888ee80caab0d80ddc24cf6c2060490","id":204001,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793026297896585,"prev":80303,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-finance-gdp-expenditure-correlation","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. 0x0797f12adeb60d229268653a8785714a8a611cb48ea39c0707838f6767f41984
  2. 0xc8e65a947c3bacb4b343c2c891c04be5c5842ab7559e704959f1aacf92d6a91c
  3. 0x4e25cd445e37013d6bb784c24a0eaa84193bec294f057f0ded237936b21d4cc1
  4. 0xefb129e5f5de921f53c7a63f20aa0c3805c511ece400aea994de4863fb16b5b5
  5. 0x4345e486327db73fe83b430f5e1d0fc4d0e0f34ef574cdf8ddd01b236802527a
  6. 0x01ce44aa033a809b5e6322bab409d6dbd7e3308347793bfa3f16f09a44212344
  7. 0x67c55ff6f7b27fe26d19640b585ecdedfda370e5bd07f15476d449a2c451ea49
  8. 0xe8ba653ea05e3f766aa788b83a0de04cfed9d7302dc49343e839ee7e665eca25
  9. 0xc80af8e272d1cb81ba42182d24905f85e11a9485f6398a240b3a2dc7142dc4c0
  10. 0x6c49dc63732a1c853796427378de391ae7c0255d6d855269049c50243c7bc2b5
  11. 0xe5919b091405f2537da4d32a97f1520286a61795e2d149438b884ef5190051cc
  12. 0x6003e14d04cde1d24b195ac15b568dd483e04047e0f2ff64d9632a51a8f7123d
  13. 0xe5a836cf25a8dfc72c9e3b6a69a7561a1f61f50f9cf36707d36f6e926aa15dec
  14. 0xa96bb9408ce00a0d40ddaba8736257dfce76d5478b131d69db1afdf8a824312b
  15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON