# Audio Voices Numeric Interval Filter + Date by Category Pivot

> Audio Voices Numeric Interval Filter + 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 2026-10-25).

Filters audio voice records by a numeric range on a chosen field and produces a date-by-game-area pivot table, returning two analytical reports from caller-supplied data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-10-133?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/audio-voices-numeric-interval-filter-date-by-category-pivot-96d2f682
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wqPrtsSCO9jqaVUecctbK

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-numeric-interval-filter-date-by-category-pivot-96d2f682 -d '<json body>'
```

Example prompt: I have up to 200 rows of audio voice logs with fields for date, game_area, active_voices, and audio_cpu_ms — can you run two reports: first filter rows where active_voices is between 5 and 40, and second pivot active_voices by date and game_area?

## When to prefer this

Choose this endpoint when you have already collected audio voice telemetry records (active_voices, audio_cpu_ms) tagged by game_area and date, and need both a numeric range filter and a date-by-category pivot in one cheap call. It operates purely on caller-supplied data with no external lookups, making it fast, deterministic, and privacy-safe. It is ideal for game audio performance analysis workflows where the data is local and you want two analytical views simultaneously for $0.01.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, date, game_area) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- minimum greater than maximum — may return empty filtered set
- Unsupported field value outside enum [active_voices, audio_cpu_ms] — schema rejection
- Payment not included or insufficient USDC — 402 payment required response

## How this service works

Audio voices — Numeric interval filter + Date by category pivot: Numeric interval filter + 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) rows from the supplied dataset whose chosen numeric field (active_voices or audio_cpu_ms) falls within the specified minimum–maximum interval; (2) a pivot table cross-tabulating the same field by date and game_area category. Up to 200 input rows supported per call.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/audio-voices-numeric-interval-filter-date-by-category-pivot-96d2f682/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)