# Audio Voices Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean

> Audio Voices Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Runs three local analytical reports on audio voice dataset rows: record quality audit, string normalisation, and secondary-measure weighted mean, covering up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-10-205?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/audio-voices-record-quality-audit-string-normalisation-secondary-41faf913
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CpgPIbX1EdG6P4NLx-MUi

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability audio-voices-record-quality-audit-string-normalisation-secondary-41faf913 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and secondary-measure weighted mean on my audio voices dataset? I have rows with fields row_id, game_area, date, active_voices, and audio_cpu_ms — about 50 rows — and I want the weighted mean computed on active_voices.

## When to prefer this

Choose this endpoint when you have up to 200 rows of game audio voice data (active_voices, audio_cpu_ms) and need all three of: a record quality audit, string normalisation, and a secondary-measure weighted mean in a single low-cost call ($0.01 USDC). It is ideal for pre-processing or validating audio performance datasets offline without any external API lookups or predictions.

## Known failure modes

- Exceeding 200 rows returns an error or truncates input
- Missing required fields (row_id, date, game_area, active_voices, audio_cpu_ms) causes validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
- Invalid field enum value (not 'active_voices' or 'audio_cpu_ms') causes an error
- Empty rows array rejected (minItems: 1)

## How this service works

Audio voices — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied audio voices records (active_voices, audio_cpu_ms). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports produced from the supplied rows: (1) a record quality audit flagging issues in the dataset, (2) a string normalisation report standardising text fields like game_area, and (3) a secondary-measure weighted mean computed over the selected numeric field (active_voices or audio_cpu_ms), all using local engines with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "game_area",
     "date",
     "active_voices",
     "audio_cpu_ms"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "audio_cpu_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "active_voices": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "game_area": "group-a",
     "audio_cpu_ms": 1,
     "active_voices": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "game_area": "group-b",
     "audio_cpu_ms": 2,
     "active_voices": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "game_area": "group-a",
     "audio_cpu_ms": 3,
     "active_voices": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "game_area": "group-b",
     "audio_cpu_ms": 4,
     "active_voices": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "active_voices",
    "audio_cpu_ms"
   ],
   "type": "string",
   "default": "active_voices"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/audio-voices-record-quality-audit-string-normalisation-secondary-41faf913/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)