Evidence row 72795

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://creator.halowerk.com/v1/voice-clone-check"
    ]
  ],
  "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": "Calculates cosine similarity between caller-supplied numeric embeddings and combines it with supplied spectral distance, pitch-contour correlation and timing distance using fixed weights. It processes no audio and cannot establish speaker identity, consent, cloning, authenticity or fraud.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "bodyType": "json",
            "exampleUrl": "https://creator.halowerk.com/v1/voice-clone-check/schema#/requestExample",
            "method": "POST",
            "schemaUrl": "https://creator.halowerk.com/v1/voice-clone-check/schema#/inputSchema",
            "type": "http"
          },
          "output": {
            "example": {
              "band": "high_supplied_feature_similarity",
              "composite_similarity_0_1": 0.938668822,
              "cosine_similarity": 0.996977534,
              "method": "cosine embedding similarity plus fixed-weight supplied acoustic indicators",
              "normalized_components": {
                "embedding": 0.998488767,
                "pitch": 0.91,
                "spectral": 0.86,
                "timing": 0.81
              },
              "warning": "feature_similarity_only_not_identity_consent_clone_or_fraud_determination",
              "weights": {
                "embedding": 0.55,
                "pitch": 0.15,
                "spectral": 0.2,
                "timing": 0.1
              }
            },
            "exampleUrl": "https://creator.halowerk.com/v1/voice-clone-check/schema#/outputExample",
            "schemaUrl": "https://creator.halowerk.com/v1/voice-clone-check/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": "2026-10-25T18:49:27.894Z",
    "quality": {
      "l30DaysTotalCalls": 4,
      "l30DaysUniquePayers": 4,
      "lastCalledAt": "2026-10-25T18:49:27.481Z"
    },
    "resource": "https://creator.halowerk.com/v1/voice-clone-check",
    "serviceName": "HALOWERK creatorwerk",
    "tags": [
      "iot",
      "voice",
      "similarity"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Calculates cosine similarity between caller-supplied numeric embeddings and combines it with supplied spectral distance, pitch-contour correlation and timing distance using fixed weights. It processes no audio and cannot establish speaker identity, consent, cloning, authenticity or fraud."
}

What the leaf hashes

{"body":"91f68bbb8d96c9ccd75759f04a0264f59a1314644f6a0316767266887f472827","id":72795,"kind":"listing","method":"baseline/1","observed_us":1793025486494911,"prev":null,"subject":"x402_bazaar:https://creator.halowerk.com/v1/voice-clone-check","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. 0x9910b080713ea0a4d7e41ae47e88fa80c848fa0584e6d7bda7de8434721e6dc8
2. 0xf8a8687076a498428bdd63bfc49c0a52ac60ac4225504dc3a724a7403391be40
3. 0x24ce70edc8001d2d9d1b8f2dfa568619a84b0c3c84d04eec663dadedf69719f7
4. 0x9787aafad226b3d7a4f3490d667d4fbca9590e3e8dde6943fae2a3afc8ea66db
5. 0x6ddfff8db7933d7f73fd7913f16ca6c1aef0da44532aecf39ac2edfad6fcf2e7
6. 0x26dd72c8c547ecbe56163ff99be49852325741a59f78d95e7ba840cea1294483
7. 0x07340dd7d997e92dc148941d64bc56b87b2608bb270a8f1b26d65c05735daba5
8. 0x140b870339cc9eb72dbcb9abd76bfeb309ca80799ad7dcc6bca49819cf9ffa01
9. 0xe5fcc8212245fba4b7457731097c2b4ff118cfd01e0868e3af9c3e2fc6825499
10. 0x2b4f513a842f0518600372c41655e79b425e107967347efd041a1f46774282f2
11. 0xd3f19437d703373e99e0bf69c4ca06561426260f599f7d259e3257085a387573
12. 0x6ae9e6ee1b544d831982666bd3570457659e78fc0064894d7ec23f971a37ff2f
13. 0x239fd39716710e7412bd120c373072b4c0d8b11bb9ee431dad62a2ce57b3d6f4
14. 0x49062da782c4f73855ddd5fdd51840749f928b5f17d1ce75ac50f2d829104e72
15. 0xf0bd63870f0bb378fa300bd33563050dcb7b3e02b44eb3ee550c1c534ec4b246
16. 0x1ac20d30773e1f4f2f811540e9a99b5cca9177c9e2e029acc0d80cf3f1d11f0f
17. 0xd21942ae3214eff88e08ab04884fd4b11958b51af9a0741b7668e2d07a2c56c9
18. 0x9a9024edb5069d88a324facb310a5ce8e495214bbaa968f077bede437390194f
19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a

Day root

0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8

Chained

0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a

Published

On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae