Evidence row 202017

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://econ.memoryapi.org/x402/econ/business"
    ]
  ],
  "name": "econ.memoryapi.org/x402/econ/business",
  "owner_address": "0x24facafeb49b4e3facf0b3e69604a2f4640c9bf2",
  "raw": {
    "accepts": [
      {
        "amount": "1000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x24FAcafEB49b4e3FACF0B3e69604A2F4640c9bf2",
        "scheme": "exact"
      }
    ],
    "description": "U.S. County Business Patterns — number of businesses, employees, and payroll by industry (NAICS) and state.",
    "extensions": {
      "bazaar": {
        "info": {
          "description": "U.S. County Business Patterns from Census. Returns business counts, employee totals, and payroll by industry and state.",
          "iconUrl": "https://memoryapi.org/icon.png",
          "input": {
            "method": "GET",
            "queryParams": {
              "naics": "51",
              "state": "CA",
              "year": "2021"
            },
            "schema": {
              "properties": {
                "naics": {
                  "description": "NAICS industry code: 51=Tech, 52=Finance, 53=Real Estate, 54=Professional, 62=Healthcare, 23=Construction",
                  "type": "string"
                },
                "state": {
                  "description": "2-letter state code. Omit for all states.",
                  "type": "string"
                },
                "year": {
                  "description": "Data year (default 2021)",
                  "type": "string"
                }
              },
              "required": []
            },
            "type": "http"
          },
          "output": {
            "example": {
              "industry": "Information/Technology",
              "naics_code": "51",
              "success": true,
              "top_states": [
                {
                  "avg_salary": 256123,
                  "employees": 1209148,
                  "establishments": 28906,
                  "state": "CA"
                }
              ],
              "totals": {
                "employees": 4521000,
                "establishments": 156234
              }
            }
          },
          "serviceName": "MemoryAPI Econ",
          "tags": [
            "economics",
            "macro",
            "finance",
            "data"
          ]
        },
        "schema": {
          "properties": {
            "input": {
              "properties": {
                "method": {
                  "enum": [
                    "GET"
                  ],
                  "type": "string"
                }
              },
              "required": [
                "method"
              ]
            }
          }
        }
      }
    },
    "lastUpdated": "2026-10-26T12:03:32.051Z",
    "quality": {
      "l30DaysTotalCalls": 5,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-26T12:03:31.827Z"
    },
    "resource": "https://econ.memoryapi.org/x402/econ/business",
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "U.S. County Business Patterns — number of businesses, employees, and payroll by industry (NAICS) and state."
}

What the leaf hashes

{"body":"2f2271f0187f23dc9154cf30101651c630e5a516b689e55d552ae3795f86713e","id":202017,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793026275494215,"prev":74375,"subject":"x402_bazaar:https://econ.memoryapi.org/x402/econ/business","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of 2026-10-26 (296695 rows).

1. 0x41bdb146de41fcb759b6371ca0cf74c7fa6451fdb51e9382af9ca64cc470c41a
2. 0x747bc7695ffce3204a167aba84711b86a01e845f93faa4d7b104242ca3946ef3
3. 0xf6a8096ed77ed0fe0421df2fb937384e0521d04bf35c847e2ccb98e605759c70
4. 0xff5e7c18ca9700139ac55e91dca8e16109fd067a1b16b41e6146a222e0118ffe
5. 0xb2f3523203cf5f889bf8b1b7d778729cce435a19a63f804d67e1bb9c9b041f97
6. 0x5af4ed80cf672ba5e2f31c40de15a320adf84c7ad4657757c736c4e19f147b15
7. 0x2961b01776651f1a1fcdc62c24b8fbffaa23df2bd372178c1eaef7e89e88ca31
8. 0xacb05a4092a8e2083f543212e50554654fc9cbc56c907a8492b29963b7a09252
9. 0x306e32afca67b013b8dae25c650a371ebf6043d778dd6a120d775bcc0835d900
10. 0xfeffd663d71e06910d19eae83256a9e7825e132ad736c20f6e71e3ac2dec7d86
11. 0x40430b285418db6d3a5a2c626d90ef47fc069d45eb9e4fbee49da2a4e637758f
12. 0x58f4330f9ac32da273a2a76d85bc0768d037638cddbd3d1f09d9b64094bfd942
13. 0xd406739acce2ba016f8d49081b15f266a4ea4a0b0fc5ef171c89c8fd2dda4d80
14. 0x8b27a4c21bf4ba962fd008c8f4300bc6953764a5032b9ab0cfe696b318c45326
15. 0x4b52a97f7a80ff7778a702b85267b8d2e5c93ce160942656435c29ae7be68bf4
16. 0x2e6a32eb32761c210560e852405e2f865f958ddbe01027894f8b9c1b3433b9f0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae