Evidence row 72789

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://creator.halowerk.com/v1/deepfake-score"
    ]
  ],
  "name": "HALOWERK creatorwerk",
  "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": "Normalizes caller-supplied blink deviation, lip-sync error, spectral discontinuity, compression inconsistency and metadata anomaly using declared fixed weights. It does not inspect media, establish authenticity, identify a generator or replace human forensic review; the result is only as reliable as the supplied signals.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "bodyType": "json",
            "exampleUrl": "https://creator.halowerk.com/v1/deepfake-score/schema#/requestExample",
            "method": "POST",
            "schemaUrl": "https://creator.halowerk.com/v1/deepfake-score/schema#/inputSchema",
            "type": "http"
          },
          "output": {
            "example": {
              "band": "medium_supplied_signal_risk",
              "limitation": "does_not_analyze_media_or_prove_authenticity",
              "method": "fixed-weight aggregation of caller-supplied audiovisual anomaly signals",
              "normalized_components": {
                "blink": 0.42,
                "compression": 0.18,
                "lip_sync": 0.43,
                "metadata": 1,
                "spectral": 0.31
              },
              "risk_score_0_100": 45.15,
              "weights": {
                "blink": 0.25,
                "compression": 0.15,
                "lip_sync": 0.25,
                "metadata": 0.15,
                "spectral": 0.2
              }
            },
            "exampleUrl": "https://creator.halowerk.com/v1/deepfake-score/schema#/outputExample",
            "schemaUrl": "https://creator.halowerk.com/v1/deepfake-score/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": "2026-10-25T18:51:56.102Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 4,
      "lastCalledAt": "2026-10-25T18:51:55.914Z"
    },
    "resource": "https://creator.halowerk.com/v1/deepfake-score",
    "serviceName": "HALOWERK creatorwerk",
    "tags": [
      "iot",
      "media-forensics",
      "risk-score"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Normalizes caller-supplied blink deviation, lip-sync error, spectral discontinuity, compression inconsistency and metadata anomaly using declared fixed weights. It does not inspect media, establish authenticity, identify a generator or replace human forensic review; the result is only as reliable as the supplied signals."
}

What the leaf hashes

{"body":"3769f79dba32e17c4a730c82c641ea0675559ba0f8369b94598b537a50b722df","id":72789,"kind":"listing","method":"baseline/1","observed_us":1793025486488937,"prev":null,"subject":"x402_bazaar:https://creator.halowerk.com/v1/deepfake-score","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. 0xabfafa103fabc3321c4c4fa8f39f2c194d3e18e246726f41072113ab1237c574
2. 0x94a58369216d5f1d37be3041bc8e8abd0e01ce6267bc55cb7e348700b7bf9a6b
3. 0xe52a47a6540dd739a5a0a544fb1596fd7c348feb0bac4e2bb8963d12878ca9dd
4. 0x62e21febe3c3737f02b9eda50938d8f07374ca9c0b32dba11741a766a64c45ff
5. 0x48cc7b052733796f03ffc78fff1c809a08caae4d581ac32b2fb35065142e6286
6. 0x0657eb128528805a0bb376fae6ed6dea3b0ea40b3d4c2b39a8ed072b4d2a49c8
7. 0x4db9a9ebcf6c09b0e5a2b85227db865e8286fcfc7eb70053bcf7206a8ad51b1e
8. 0x3e7931c87b144009504d5c547356339f3b9e6ce9ea8bf90073e6c509266b8e7d
9. 0x82e794d16013758d7090a0358a9d19fdd1330fa049313a95f462838aa26f6eb8
10. 0xc7cacc2d01c3e1b7ffb7608f2b307b4082bdded2ad2fc7c4373e088c0cadb4c9
11. 0xe285855b14529e4bf6d93d3ce05a3365dcfc651d48b9dfeb5c229a51822613eb
12. 0xb7fae69bb7bd717d54a83df961404a3e4de2a5cfbcfa013fd83a38627fe13f7e
13. 0x4700d6dfdb40e52e2ceb8ffe62c75f3f708d23452f828255fd003d795f5d9d66
14. 0x3b4dba7d874fc323b0a364140a9c60f37bf547fe671897653118a9873fe03420
15. 0x1a74ed3b3756b9cd946da49701bcec120ec88645013da99fa9eea60b39e1a570
16. 0x123ec8bee20ddc55223eeef5a4f4d6c4b6416515adbb911c56759f5cde56e452
17. 0xd0651cb9bc8155eb52b5247d506e74b8a935057dc190ba52091702ac25ed3a40
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae