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Evidence row 2205189

Observed , by sync.x402_bazaar/1.

Kind
listing
About
source_record x402_bazaar:https://api.magentlab.com/api/calc/nadler
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
3fb7790baf5b9909b43416f970d972bf9921805d1c735c4858b5bf3e3a3e051d
Leaf
0x68d1eaff1421080afab2523ecea884777148ccaaffbdc5a505cbe7e8a1ba1fc4

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://api.magentlab.com/api/calc/nadler"
    ]
  ],
  "name": "magent",
  "owner_address": "0x836be278f1739fb4308091cd1852f7971bc19ee2",
  "raw": {
    "accepts": [
      {
        "amount": "5000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "eip3009",
          "name": "USD Coin",
          "paymentFlow": "upfront",
          "resourceUrl": "https://api.magentlab.com/api/calc/nadler",
          "version": "2"
        },
        "maxTimeoutSeconds": 600,
        "network": "eip155:8453",
        "payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
        "scheme": "exact"
      },
      {
        "amount": "5000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "assetTransferMethod": "eip3009",
          "name": "USD Coin",
          "receiverAuthorizer": "0x3721824a31197dcDD2984cF43b92B6cc8A87c0Fb",
          "version": "2",
          "withdrawDelay": 86400
        },
        "maxTimeoutSeconds": 600,
        "network": "eip155:8453",
        "payTo": "0x836Be278f1739fB4308091cD1852F7971Bc19Ee2",
        "scheme": "batch-settlement"
      }
    ],
    "description": "Nadler 1962 predicted blood volume in liters from height, weight, and sex (separ",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "method": "GET",
            "queryParams": {
              "height_cm": 170,
              "height_in": 66.92913385826772,
              "sex": "male",
              "weight_kg": 70,
              "weight_lb": 154.3236
            },
            "type": "http"
          },
          "output": {
            "type": "json"
          }
        },
        "schema": {
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "method": {
                  "enum": [
                    "GET",
                    "HEAD",
                    "DELETE"
                  ],
                  "type": "string"
                },
                "queryParams": {
                  "type": "object"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-11-02T12:00:48.071Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-11-02T12:00:47.935Z"
    },
    "resource": "https://api.magentlab.com/api/calc/nadler",
    "serviceName": "magent",
    "tags": [
      "nadler",
      "blood-volume",
      "ebv",
      "calculator"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Nadler 1962 predicted blood volume in liters from height, weight, and sex (separ"
}

What the leaf hashes

{"body":"3fb7790baf5b9909b43416f970d972bf9921805d1c735c4858b5bf3e3a3e051d","id":2205189,"kind":"listing","method":"sync.x402_bazaar/1","observed_us":1793646953857606,"prev":null,"subject":"x402_bazaar:https://api.magentlab.com/api/calc/nadler","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (444186 rows).

  1. 0x68d20c18632e7bcafed260c2c22ce483cfe3bf8a66d9ad2d922f01348d5d135d
  2. 0x66bb9a499f08dcfd9a62f5322170dec2232e7e4efef45fcbb7fd1e12251759b0
  3. 0xcd2a0cf5f656d78c2aa124e5bb0aafe966dc3e010eb6dbb32686dc89093a491d
  4. 0x44b5450f199b87f59bccc51d2a9a88eb63d3f47075f2e8839999712368a56e31
  5. 0x6badffb61c2b94f5480728f41ecb20a1d1d49ead85117400320c9f114521e253
  6. 0x4ea3ee2ba9ca2d4345d156a7b757c34e2c15bfe3a9d3d4b25f00e146a474e7d8
  7. 0x1823de25e33f2d76526908454bc34e3cf02c0d1565ea2545c7674020577866b7
  8. 0x9c7d2184f9468c5a7ce85c205fcaf605fd1613701fb70faae5ca152f5869470f
  9. 0x487261ce319ff41da73ed701395a816cb20607ca509e320fd16eb9302715df0e
  10. 0x57698899daf78e6d00d4c670a3f86e5e6995190d78a0108459b8eb9614cbebe2
  11. 0x7db17b10f1972af41b5bfa71c5cb6c8e5c535c21328ce6aede33af928914722a
  12. 0x4c6bfda049005dc169b297132e952f3d0d63a895211bdcf40f0eb667e2aabcdf
  13. 0xefbd3ce8cc9536c9dc7555a61f73905cdeb76d020d347be26b68924fa6aacbfa
  14. 0x197bc18a6b8126dd9b52133f001dca55646ad9292aafa98222498ec1746809a4
  15. 0x2cdc73dde4ed839d7482b6b91833e64bef56c7626db8439f3bbdfcffd2ae32a3
  16. 0x0e5696ae625571c52ddcd8dc09aa6c994b4ab38f2086df20d56f1f01c603e501
  17. 0xf9973981f80219d4f00fa9186b40a8144accc0c9875572fb79eaea312a21a187
  18. 0x4d205063c881c48edbbb37762a8d3bbb7444d4c42daa882f663a231893d25c35
  19. 0x365b161a4b68d750dcc4b3ecce1154a2163c87b08762079428e68f0ebb6a754e
Day root
0x78fecaabbe319e56f5c4b80fc02e2052e198ad24781da8832a475ff65f2002d1
Chained
0xdc35957db5d1371ca382b9152878ffece28ec7c5cb4f98fd71ddb367f8b999b2
Published
On Arc Testnet, block 70432815: 0x56b814612eb2e3e544153df3e91e1f7199106d1e430c7d8c6b653feeb9ebe9af

How to check it · This row as JSON