# Audio Voices Numeric Interval Filter and Two-Measure Correlation

> Audio Voices Numeric Interval Filter and Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Filters audio voice records by a numeric range on a chosen field and computes a two-measure correlation between active_voices and audio_cpu_ms, returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-10-131?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/audio-voices-numeric-interval-filter-and-two-measure-correlation-f06e8910
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_R1DlexMH7j_zh85EtO21N

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-and-two-measure-correlation-f06e8910 -d '<json body>'
```

Example prompt: I have a batch of game audio records with active_voices and audio_cpu_ms columns — can you filter the rows where active_voices is between 10 and 80, and also run a two-measure correlation report between active_voices and audio_cpu_ms across all my data?

## When to prefer this

Choose this endpoint when you have game audio telemetry data with active_voices and audio_cpu_ms columns and need both a bounded numeric filter and a paired correlation analysis in a single low-cost call. It is purpose-built for this exact two-field audio voices schema and delivers two reports at once for $0.01 USDC per call, making it ideal for iterative analysis or agent pipelines processing game performance data without requiring an external analytics environment.

## Known failure modes

- Fewer than 1 row supplied — minItems violation returns validation error
- More than 200 rows submitted — maxItems exceeded, request rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in both numeric fields for a row may reduce correlation sample size
- Minimum greater than maximum produces an empty filtered result set
- Missing required row fields (row_id, game_area, date) triggers schema error

## How this service works

Audio voices — Numeric interval filter + Two-measure correlation: Numeric interval filter + Two-measure correlation 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

Returns two analytical reports: (1) a numeric interval-filtered subset of the input rows where the chosen field (active_voices or audio_cpu_ms) falls within the specified minimum and maximum bounds, and (2) a two-measure correlation report quantifying the statistical relationship between active_voices and audio_cpu_ms across the supplied dataset, covering up to 200 rows.

## 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-and-two-measure-correlation-f06e8910/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)