Evidence row 76798

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://iot.halowerk.com/v1/fleet-anomaly"
    ]
  ],
  "name": "iotwerk_fleet_anomaly",
  "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": "Computes cohort median, median absolute deviation and robust z-scores for one numeric reading per device. A caller-selected threshold determines flags. It detects cross-sectional outliers only and does not diagnose root cause or learn temporal behavior.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "bodyType": "json",
            "exampleUrl": "https://iot.halowerk.com/v1/fleet-anomaly/schema#/requestExample",
            "method": "POST",
            "schemaUrl": "https://iot.halowerk.com/v1/fleet-anomaly/schema#/inputSchema",
            "type": "http"
          },
          "output": {
            "example": {
              "flagged_devices": [
                "pump-4"
              ],
              "mad": 0.15,
              "median": 10.15,
              "method": "median absolute deviation robust z-score",
              "scores": [
                {
                  "device_id": "pump-1",
                  "direction": "low",
                  "flagged": false,
                  "robust_z": -0.22483,
                  "value": 10.1
                },
                {
                  "device_id": "pump-2",
                  "direction": "low",
                  "flagged": false,
                  "robust_z": -1.12415,
                  "value": 9.9
                },
                {
                  "device_id": "pump-3",
                  "direction": "high",
                  "flagged": false,
                  "robust_z": 0.22483,
                  "value": 10.2
                },
                {
                  "device_id": "pump-4",
                  "direction": "high",
                  "flagged": true,
                  "robust_z": 37.546596,
                  "value": 18.5
                }
              ],
              "threshold": 3.5,
              "zero_mad_policy": "not_applied"
            },
            "exampleUrl": "https://iot.halowerk.com/v1/fleet-anomaly/schema#/outputExample",
            "schemaUrl": "https://iot.halowerk.com/v1/fleet-anomaly/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": "2026-10-26T00:14:49.691Z",
    "quality": {
      "l30DaysTotalCalls": 12,
      "l30DaysUniquePayers": 6,
      "lastCalledAt": "2026-10-26T00:14:49.499Z"
    },
    "resource": "https://iot.halowerk.com/v1/fleet-anomaly",
    "serviceName": "iotwerk_fleet_anomaly",
    "tags": [
      "iot",
      "fleet",
      "anomaly"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Computes cohort median, median absolute deviation and robust z-scores for one numeric reading per device. A caller-selected threshold determines flags. It detects cross-sectional outliers only and does not diagnose root cause or learn temporal behavior."
}

What the leaf hashes

{"body":"14b985d1b21e56779bb102b22aeeb513b4912efc3e8fd7aa7007182d2f54a8d6","id":76798,"kind":"listing","method":"baseline/1","observed_us":1793025492954159,"prev":null,"subject":"x402_bazaar:https://iot.halowerk.com/v1/fleet-anomaly","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. 0x6862b035e134702d29ee845764d3fe188d88626d8969f614512f04bbf263600d
2. 0xda09af1c4729a7b5bf4ada057f69910e89c4ba20ac51aba30692593b38066e1d
3. 0x0502d792e07737d24efc5421bfe166f51d11b7f04d852b0982ca1b87cf334a42
4. 0x8e95e8abd1831c298ac6155fdba7f0503fde558bfa290c85dbf2ede17b0b9869
5. 0xa8120c0f5e003772266554fafd8099b78187e63743ce27b697e2ed984ba0de76
6. 0x8e8b028514e7ea7545f5cf2d773aee04691472c89ee237ed4ea30fa3030584a1
7. 0x0bd96f373063c66e0439187493f858c668c3644b31c93d7631fd4e1ee191f6e7
8. 0x667df1eb5438391477f4248bbe916d73c531e511e0fc8ebab611cd8427d63cfd
9. 0x93e9853b7e7c3fbd2e76b2acee2d32edfe8d3f0c87ff002072ea66bdd6c35b44
10. 0x13e4c71dea6ead16b673621a000980228fb6632849515de881753d7ecc85106a
11. 0x413b0c9464d3b38d47c32aba246ca98fb26aca16664bc872d8c725efdcf42145
12. 0x9483a0a7a066ffc2fb890c8f34dbc91bf373e546e4a3800b76064288b3cc4875
13. 0x5f350d70c252ff1169c0210fd45fce1b0ab8d7316f048741a9e90a6c8cb65dcf
14. 0x9a79c65e077cd9da9d436b3ade6f5ddc0d244510c4d5903ef2f02d81205f7666
15. 0xa2d436d488e3600b0e5c3e3ed9c9234cd52853c59830b786334fd0c4292d9f40
16. 0x47b89901b0f07938a6b9a66ddf35683903f79d756a7c7763665fd632758b08d0
17. 0x9a83be955a206deb65b995adfd92c58fa31c95fbbf926bd199d300e70b08b26d
18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae