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Evidence row 80303

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-finance-gdp-expenditure-correlation
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
35e9a70edffdcc01f1819da83f66052cd90cdcab63e5b67f5959c2e041f1bd30
Leaf
0xbec229ab0148ce81db383ce678fd4bdd4c56d0b2890c2901a3891de0710cb6c5

What was observed

{
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      "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": [
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                  "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": {
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              "additionalProperties": false,
              "properties": {
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                  "properties": {
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                          "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
                        },
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                          "exports": 165,
                          "government_purchases": 275,
                          "imports": 220.00000000000003,
                          "investment": 220.00000000000003
                        }
                      ],
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                          },
                          "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",
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                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
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                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
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              },
              "required": [
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                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
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                  "type": "object"
                },
                "type": {
                  "type": "string"
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              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-26T01:30:01.598Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T18:12:26.819Z"
    },
    "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":"35e9a70edffdcc01f1819da83f66052cd90cdcab63e5b67f5959c2e041f1bd30","id":80303,"kind":"listing","method":"baseline/1","observed_us":1793025498534095,"prev":null,"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. 0xbec1ebb1eff106140cea7a6b6dca839441e3de7dae53508c5a031238e62afdeb
  2. 0xb61feb939563cd45a7b5ad4d316d1b74a78ea72ca7fe1355f0331bb067656d4b
  3. 0x10213521af6ad8f3e89fada522a3bdde7d43b96aa15d7bef209b5144022f398f
  4. 0x5b8e6492aa45231ac949b6fe45cec7ee4e066ec535e27ec8cccca7d2bb0f750d
  5. 0x50700a4a10429a1563e12f0a403606b20bfb6f3798e54f53068defeca5373f3e
  6. 0x7ba299af1773b6230435774ef253e929514e2e320f791ec4be02ecaa0042d4de
  7. 0x2a3cb8074eceaf506242c7054e069ff579dbf2686b9f6aab065e29ce470a63fb
  8. 0x9aeebea4bbab564d3574005fb0d6926ecf0c765799c7235703b2c3a37a2a8fc5
  9. 0x9256e1cced21980ce963d76c45e282793b4c006b22bce6775e9d2eb3e8e04993
  10. 0x48d04da54de88082e11aa43e473de1dfd941bdfb166e542aa1c13b29e3d7754a
  11. 0x0decbdcd600e934c38d679c1b99f27ba6676644e856ed6ba36bca74feb432866
  12. 0xc520305226daa0caf1c2416854f726ec072c950c1903497b2a1e88b0c6f406da
  13. 0x96eae331a78c1c9248bc58130ff83d31b884760a51fe7191de2a39105ae7c072
  14. 0xdbe2e8dd65ea1248b2936612538f18268abd5cf27ebdab3737694571ad496004
  15. 0x9f68b5e15459cb62b8c0cd4c124fa61c74147b4a5755a200fbecd21a581635d1
  16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
  17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
  18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON