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Evidence row 76803

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://iot.halowerk.com/v1/sensor-calibration
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
3651c1273eb660cf272e7a11c3081d32b1e38d8ac32dc835b61f00ae28cae8f5
Leaf
0x050fa9d04642ed2db35e86de50394441cc5962c93693bb7d159de5e397df1562

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://iot.halowerk.com/v1/sensor-calibration"
    ]
  ],
  "name": "iotwerk_sensor_calibration",
  "owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
  "raw": {
    "accepts": [
      {
        "amount": "3000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "currency": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "asset": "USDC",
          "assetTransferMethod": "eip3009",
          "eip712Domain": {
            "chainId": 8453,
            "name": "USD Coin",
            "verifyingContract": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
            "version": "2"
          },
          "name": "USD Coin",
          "network_name": "Base Mainnet",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
        "recipient": "0x2880EdfFF13100677Bf97A3CBdF3Bc34771C4E5E",
        "scheme": "exact"
      }
    ],
    "description": "Fits reference = slope × observed + offset with ordinary least squares over paired caller-supplied readings. It reports residual diagnostics and does not claim traceability, uncertainty accreditation or suitability beyond the supplied calibration range.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "bodyType": "json",
            "exampleUrl": "https://iot.halowerk.com/v1/sensor-calibration/schema#/requestExample",
            "method": "POST",
            "schemaUrl": "https://iot.halowerk.com/v1/sensor-calibration/schema#/inputSchema",
            "type": "http"
          },
          "output": {
            "example": {
              "method": "ordinary least-squares affine calibration",
              "observed_range": [
                0.1,
                30.1
              ],
              "offset": -0.159023207,
              "residuals": [
                0.059128491,
                -0.030237861,
                -0.119604213,
                0.090713584
              ],
              "rmse": 0.082074096,
              "sample_count": 4,
              "slope": 0.998947164
            },
            "exampleUrl": "https://iot.halowerk.com/v1/sensor-calibration/schema#/outputExample",
            "schemaUrl": "https://iot.halowerk.com/v1/sensor-calibration/schema#/outputSchema",
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "additionalProperties": true,
          "properties": {
            "input": {
              "additionalProperties": true,
              "properties": {
                "bodyType": {
                  "const": "json"
                },
                "exampleUrl": {
                  "format": "uri",
                  "type": "string"
                },
                "method": {
                  "const": "POST"
                },
                "schemaUrl": {
                  "format": "uri",
                  "type": "string"
                },
                "type": {
                  "const": "http"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType"
              ],
              "type": "object"
            },
            "output": {
              "additionalProperties": true,
              "properties": {
                "exampleUrl": {
                  "format": "uri",
                  "type": "string"
                },
                "schemaUrl": {
                  "format": "uri",
                  "type": "string"
                },
                "type": {
                  "const": "json"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-26T00:15:14.01Z",
    "quality": {
      "l30DaysTotalCalls": 12,
      "l30DaysUniquePayers": 6,
      "lastCalledAt": "2026-10-26T00:15:13.815Z"
    },
    "resource": "https://iot.halowerk.com/v1/sensor-calibration",
    "serviceName": "iotwerk_sensor_calibration",
    "tags": [
      "iot",
      "calibration",
      "statistics"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Fits reference = slope × observed + offset with ordinary least squares over paired caller-supplied readings. It reports residual diagnostics and does not claim traceability, uncertainty accreditation or suitability beyond the supplied calibration range."
}

What the leaf hashes

{"body":"3651c1273eb660cf272e7a11c3081d32b1e38d8ac32dc835b61f00ae28cae8f5","id":76803,"kind":"listing","method":"baseline/1","observed_us":1793025492961040,"prev":null,"subject":"x402_bazaar:https://iot.halowerk.com/v1/sensor-calibration","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. 0x050fea91a95fc0c492a0d5e5148c27117ebc95d1acd22ab8769987c3f041662a
  2. 0x7d2acaded2048f24278384fd34203768b446ee574fec014abbd84c5c2d3bbd3e
  3. 0x60c87d677d8752a5f87be9b0b63a1c2fcd36f2ab0d62af5fb60777975f58d2eb
  4. 0x7a576fade923f00143111648b20444532aa463fe799a0918ef7cc45c2a186edc
  5. 0xc66dab41ca98ce1ed0c8b6d36b94cea531569d52f3b9a904e55856219d1d6270
  6. 0xa195d47b2cb3b077ffe51e591fb5ee14147dc2e2b36daaf3301ec29c82f01be6
  7. 0x2c12736f99bc24e461b2277628c421eb40aded3daa8691142eff9245962ed610
  8. 0x746b56a6cecf58474388c547d3ccc14448a017fb373ee9e65b013039c31fa57a
  9. 0x55411d837fa5bfd1696efec1261444e84a8d06104258055f86abb3f74e848f90
  10. 0xa3fd99b4d14aebe36a36910f38fbd23ee9ab7b5d169eb4cf8da16b4084155357
  11. 0xbc986b35695070cad9d398880439ec872b3a6634ffe7036fde0d0dfde7eabfda
  12. 0x23033d81d9f4be06225e4276d276e0e8e02abc173d156a1b9a8fd5e4803ad199
  13. 0x610fdf3e989af0a6b4a400a3a8aab9156d757f8c96efe4e9d0594dfd04de1cc0
  14. 0xd1d3499072edb10edc68f84bcae2365d2ab534df689250cab18c751b6f13b6ff
  15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
  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