# Audio Voices String Normalisation and Date-by-Category Pivot

> Audio Voices String Normalisation and Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Runs string normalisation and date-by-category pivot analytics on up to 200 supplied audio-voices records containing active_voices and audio_cpu_ms fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-10-035?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/audio-voices-string-normalisation-and-date-by-category-pivot-b92206d9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-7GpfgCppKIQ6MCNRXKsr

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-string-normalisation-and-date-by-category-pivot-b92206d9 -d '<json body>'
```

Example prompt: Can you run string normalisation and a date-by-category pivot on these audio voices records — I have rows with row_id, game_area, date, active_voices, and audio_cpu_ms fields — and I want the pivot done on the active_voices field?

## When to prefer this

Choose this endpoint when you have game audio telemetry records (up to 200 rows) that need both string normalisation and a date-by-category pivot in a single low-cost call. It is purpose-built for the active_voices and audio_cpu_ms schema and returns two reports for $0.01 USDC. Prefer it over general analytics services when you already have structured rows in this exact format and need lightweight, deterministic local computation rather than ML inference or live data lookup.

## Known failure modes

- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, game_area, date, active_voices, audio_cpu_ms) triggers validation error
- Invalid date format (not YYYY-MM-DD) causes parse failure
- Null-only numeric columns may produce empty pivot cells
- Invalid field enum value (not active_voices or audio_cpu_ms) causes parameter error
- Payment of 0.01 USDC must be included via x402 protocol or request is rejected

## How this service works

Audio voices — String normalisation + Date by category pivot: String normalisation + Date by category pivot for supplied audio voices records (active_voices, audio_cpu_ms). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Two analytical reports: (1) a string-normalised version of the supplied audio voices records, and (2) a date-by-category pivot table aggregating the selected numeric field (active_voices or audio_cpu_ms) across game_area and date dimensions — all computed locally on the supplied data 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-string-normalisation-and-date-by-category-pivot-b92206d9/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)