Evidence row 72796

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://creator.halowerk.com/v1/vtuber-rigging"
    ]
  ],
  "name": "HALOWERK creatorwerk",
  "owner_address": "0x2880edfff13100677bf97a3cbdf3bc34771c4e5e",
  "raw": {
    "accepts": [
      {
        "amount": "4000",
        "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": "Validates frame/channel dimensions, clamps weights to 0–1 and applies exponential smoothing over time in each named channel. It does not infer a face, build a rig, retarget skeletons, process video or replace animator review.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "bodyType": "json",
            "exampleUrl": "https://creator.halowerk.com/v1/vtuber-rigging/schema#/requestExample",
            "method": "POST",
            "schemaUrl": "https://creator.halowerk.com/v1/vtuber-rigging/schema#/inputSchema",
            "type": "http"
          },
          "output": {
            "example": {
              "channels": [
                "jawOpen",
                "eyeBlinkLeft",
                "eyeBlinkRight"
              ],
              "clamped_input_value_count": 1,
              "frame_count": 3,
              "frames": [
                {
                  "timestamp_ms": 0,
                  "weights": [
                    0.1,
                    0,
                    0
                  ]
                },
                {
                  "timestamp_ms": 33,
                  "weights": [
                    0.46,
                    0.32,
                    0.28
                  ]
                },
                {
                  "timestamp_ms": 66,
                  "weights": [
                    0.556,
                    0.272,
                    0.268
                  ]
                }
              ],
              "method": "per-channel clamp and exponential smoothing of supplied blendshape frames",
              "scope": "numeric_blendshape_filter_only_no_rig_generation_or_tracking",
              "smoothing_alpha": 0.4
            },
            "exampleUrl": "https://creator.halowerk.com/v1/vtuber-rigging/schema#/outputExample",
            "schemaUrl": "https://creator.halowerk.com/v1/vtuber-rigging/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": "2026-10-25T18:39:43.531Z",
    "quality": {
      "l30DaysTotalCalls": 3,
      "l30DaysUniquePayers": 3,
      "lastCalledAt": "2026-10-25T18:39:43.33Z"
    },
    "resource": "https://creator.halowerk.com/v1/vtuber-rigging",
    "serviceName": "HALOWERK creatorwerk",
    "tags": [
      "iot",
      "vtuber",
      "animation"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Validates frame/channel dimensions, clamps weights to 0–1 and applies exponential smoothing over time in each named channel. It does not infer a face, build a rig, retarget skeletons, process video or replace animator review."
}

What the leaf hashes

{"body":"bbc8c4c55afa171a5c04d7a26ecb34239be483fe6a1e7ff0a20ebb1cc590ecd2","id":72796,"kind":"listing","method":"baseline/1","observed_us":1793025486495768,"prev":null,"subject":"x402_bazaar:https://creator.halowerk.com/v1/vtuber-rigging","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. 0x66c125105d8d9922da9651d34c324188e2cc54f88292b8de1982c49f3c4d25c7
2. 0x7a52cffa8b6815424fab3f9205454f3aedc1df1cadd2cf2461da26a3637daf98
3. 0x5ef8b778fa84fa5513d6cdce1220ab870b1fce5b032a1fda331f43c714109fc0
4. 0x324696ee3ae27a68a9e05f83e9613363d00a51c53be7e782a44d3c6f4e06fce5
5. 0x1413c34b34e4879178e72e3493da398282b478fb0e01645abec1d05fcd730f4d
6. 0x79b1eff7b1f743e6f642df716c3b8f890015928ceaa329f3838f0204d98bcbf7
7. 0xf319a9e5c61670796190c68219c087f06563995b90450f9963fda003324d7855
8. 0xa0c12f38e9ff53def5906e2a34fff4fd2a0a0c81fa8cbb0be9cd38898fed6962
9. 0x4f258e530d6d1a372b1d75127867f481897f7af6e258525d28b09bb88a6f65a6
10. 0x1532666d1a6a9b626e54c3e93335a185ec833ad947243bdea3c723654b68d9f4
11. 0x13951c97c827e2025801573dada28cfb5f8038c9b4de741f9d526cb67b3fe605
12. 0x260682fd6ecd274e73505c5e0bd798abdd0e702afca4f8eebd4331b607a6b175
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