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Evidence row 2173

Observed , by baseline/1.

Kind
listing
About
source_record agentic_market:econ-memoryapi-org
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
993dd5ef7e72ba6ff80220a37fa8910d3967140652c2a1ccfb7babf6b697e533
Leaf
0x45cdd1f8e32c5af9f5f367a8da8fdeecc0de1c54eda249fed2b5bc50d8a97498

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://econ.memoryapi.org/x402/econ/business"
    ],
    [
      "x402",
      "https://econ.memoryapi.org/x402/econ/business?"
    ],
    [
      "x402",
      "https://econ.memoryapi.org/x402/econ/demographics"
    ]
  ],
  "name": "econ.memoryapi.org",
  "owner_address": null,
  "raw": {
    "caip2_networks": [
      "eip155:8453"
    ],
    "category": "",
    "description": "",
    "domain": "econ.memoryapi.org",
    "endpoints": [
      {
        "description": "U.S. County Business Patterns — number of businesses, employees, and payroll by industry (NAICS) and state.",
        "method": "GET",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "51",
            "group": "query",
            "name": "naics",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "CA",
            "group": "query",
            "name": "state",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "2021",
            "group": "query",
            "name": "year",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.001",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "4",
          "l30DaysUniquePayers": "2"
        },
        "serviceName": "",
        "tags": [],
        "url": "https://econ.memoryapi.org/x402/econ/business"
      },
      {
        "description": "U.S. County Business Patterns — number of businesses, employees, and payroll by industry (NAICS) and state.",
        "method": "GET",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "51",
            "group": "query",
            "name": "naics",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "CA",
            "group": "query",
            "name": "state",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "2021",
            "group": "query",
            "name": "year",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.001",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "serviceName": "",
        "tags": [],
        "url": "https://econ.memoryapi.org/x402/econ/business?"
      },
      {
        "description": "U.S. Census demographic data by state or county. Population, income, poverty, unemployment, home values, education.",
        "method": "GET",
        "parameters": [
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "state",
            "group": "query",
            "name": "level",
            "required": false,
            "type": "string"
          },
          {
            "default": null,
            "description": "",
            "enumValues": [],
            "example": "CA",
            "group": "query",
            "name": "state",
            "required": false,
            "type": "string"
          }
        ],
        "pricing": {
          "amount": "0.001",
          "currency": "USDC",
          "maxAmount": "",
          "minAmount": "",
          "network": "eip155:8453",
          "scheme": "exact"
        },
        "providerName": "",
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        },
        "serviceName": "",
        "tags": [],
        "url": "https://econ.memoryapi.org/x402/econ/demographics"
      }
    ],
    "enriched": false,
    "iconUrl": "",
    "id": "econ-memoryapi-org",
    "integrationType": "",
    "isNew": false,
    "name": "econ.memoryapi.org",
    "networks": [
      "Base"
    ],
    "priceSummary": {
      "avgCostBasis": "exact",
      "avgCostPerTransaction": "0.001",
      "currency": "USDC",
      "maxAmount": "0.001",
      "minAmount": "0.001"
    },
    "provider": "econ.memoryapi.org",
    "providerUrl": "",
    "serviceName": "",
    "tags": []
  },
  "source": "agentic_market",
  "summary": ""
}

What the leaf hashes

{"body":"993dd5ef7e72ba6ff80220a37fa8910d3967140652c2a1ccfb7babf6b697e533","id":2173,"kind":"listing","method":"baseline/1","observed_us":1793025261381597,"prev":null,"subject":"agentic_market:econ-memoryapi-org","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. 0x45cdc1c55cd69cbb2e8b2f74aec43c307a967d6073d573cb166c3a1585fe3269
  2. 0xc6ce338bbe60fa416b4b5c6cf94538f918e6736f2749369bf3c3d58bd91b2761
  3. 0xdbde9025ebdb97e5769aca89ae136b805cb006bf6f4c166a8b112bd396969e91
  4. 0x08bc69ab40f4f4807e8a71a067928e5162205ca4751089e0a27ff80350a123a9
  5. 0x9079d50bd4ffbd91413bce70c675cc3012744ac84ab4c79c9ad316dcfb4468b7
  6. 0xe65a9d5668eb2d74ff5acef695b2e08cbdeebedacdf8852979cd4f6d6eee4709
  7. 0x672e1b9234ad60050db76a9fc7c8a581a2b092ad7499cf1adb2f32f87559bef5
  8. 0x69eb8b8ef9844bff93705a5edf763e8d06cf53df3554a4ac6fe20a3bacce0812
  9. 0x7383eacf65a565ab369246d681e8a7ad7900a05678a119c5d1d038481f5ed0a8
  10. 0x6a1f5a35af750ae279aa449f09e871daec7daf61e24910bcb67b1594232df31c
  11. 0x415bf66d9c632a887484603836ad3f90715af6f56ae73f0a5711497372ba0265
  12. 0x804dd9d5afe0f1a780e24099fb6b21f5f20545893ea0eeddf5fb9114e2f3edd5
  13. 0x54b29089c0a3cbbd6ddbe58944696110984dd5f418275cb1b77f957c56da8eab
  14. 0x8b27a4c21bf4ba962fd008c8f4300bc6953764a5032b9ab0cfe696b318c45326
  15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
  16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
  17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON