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Evidence row 74375

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://econ.memoryapi.org/x402/econ/business
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
73f9ef586acda49fa27cbb208de26f2a76f3c005f50751da74f6198350698c06
Leaf
0x125912c5bf9249e44b37b3720ea7618747bd76e89211ed5bfe197d9dcdb4fe54

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": "2026-10-21T21:55:00.344Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 2,
      "lastCalledAt": "2026-10-21T21:55:00.098Z"
    },
    "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":"73f9ef586acda49fa27cbb208de26f2a76f3c005f50751da74f6198350698c06","id":74375,"kind":"listing","method":"baseline/1","observed_us":1793025488869116,"prev":null,"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 (296695 rows).

  1. 0x1258efa93301ee700282c61ac2b48204cb4526a6ea24498b77f1b3fada138f54
  2. 0xdd522e23a0951e9e07585a2422a2ed1045295e18528553b2c830d24650ee09eb
  3. 0xc1fb1429b1faf70e9eabb3145ab5c4a83963de4b1acb83b7a1c436749e40dca9
  4. 0x893466210592819c2fe043fadcfabdce0c2776057b93609edb413f001a621d42
  5. 0x7f1da067fa53740d81450976fbe945127572b9e567e2ec656671a1af6a743267
  6. 0x8b84abf3a570d714cbb3b179cb90e5746a87e395c7ce8de7a71f76efdb1e943f
  7. 0x405f5cf0b158e294da3c1bae4210ffe6e1112350dca8d262b3a63d436c0e7b67
  8. 0x5e2e4980f8d7fa01e50973f011f8375aa3c672c3b66b18f1095459d2ee0fceb4
  9. 0xe0ec03c9f8293fea884d675b65ce4d53fd9d3ede010fc4ebad07e7824923238c
  10. 0x8b074e295bef9ac21d945d10f5903500dd59050adddb16656bd7293d68fee436
  11. 0x502ad0a7c2d0bbc45ef3aea37a6ae457822535bcbd44272f1f9e8e4f7166c167
  12. 0x7e390200ea1ea25db5884cf05fa50ad599f0759b573f081e361cc22f7206133c
  13. 0xff1c28bdf595a3d1333e9915edc68e9c5fded7bd5923fa85870979af34cbc3b3
  14. 0xb49e8c2564256e5322e375cb619d9ac70fd17c1d1eba9c991bba4cb6428f45cc
  15. 0x60582ab4b41e72eb70eb0bce07fbf0fb4d2b62a8bad5be50f5d16d511adc746c
  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