Calculates cosine similarity between caller-supplied numeric embeddings and comb
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.
Answeringour last check, 2026-09-24
1 of 1checks answered this week
893 msmedian answer time
$0.003listed price per call
$0.003price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://creator.halowerk.com/v1/voice-clone-check
| Category | Image and media |
|---|---|
| Provider host | creator.halowerk.com |
| Networks | eip155:8453 |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.003 | 893 ms |
Example input (from the provider)
{
"body": {
"candidate_embedding": [
0.2,
-0.38,
0.69,
0.08,
0.4
],
"pitch_contour_correlation": 0.82,
"reference_embedding": [
0.18,
-0.42,
0.73,
0.11,
0.36
],
"spectral_distance_0_1": 0.14,
"timing_distance_0_1": 0.19
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"additionalProperties": false,
"properties": {
"candidate_embedding": {
"items": {
"maximum": 1000000,
"minimum": -1000000,
"type": "number"
},
"maxItems": 4096,
"minItems": 2,
"type": "array"
},
"pitch_contour_correlation": {
"maximum": 1,
"minimum": -1,
"type": "number"
},
"reference_embedding": {
"items": {
"maximum": 1000000,
"minimum": -1000000,
"type": "number"
},
"maxItems": 4096,
"minItems": 2,
"type": "array"
},
"spectral_distance_0_1": {
"maximum": 1,
"minimum": 0,
"type": "number"
},
"timing_distance_0_1": {
"maximum": 1,
"minimum": 0,
"type": "number"
}
},
"required": [
"reference_embedding",
"candidate_embedding",
"spectral_distance_0_1",
"pitch_contour_correlation",
"timing_distance_0_1"
],
"type": "object"
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}