# Texture Streaming Analytics — Grouped Numeric Summary + Numeric Interval Filter

> Texture Streaming Analytics — Grouped Numeric Summary + Numeric Interval Filter 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).

Computes grouped numeric summary statistics and applies a numeric interval filter on texture streaming records (loaded_mb, stream_ms) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-09-088?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/texture-streaming-analytics-grouped-numeric-summary-numeric-interval-14ec53f6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_nfHBQbmnpEH7eDyOtkRQ-

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 texture-streaming-analytics-grouped-numeric-summary-numeric-interval-14ec53f6 -d '<json body>'
```

Example prompt: I have texture streaming records for our game — can you group them by game_area and summarize the loaded_mb values, and also filter to only rows where loaded_mb is between 10 and 50? Here are the rows: row-1 (group-a, 2026-10-01, loaded_mb=10, stream_ms=1), row-2 (group-b, 2026-10-02, loaded_mb=20, stream_ms=2), row-3 (group-a, 2026-10-03, loaded_mb=15, stream_ms=3), row-4 (group-b, 2026-10-04, loaded_mb=30, stream_ms=4).

## When to prefer this

Choose this endpoint when you have up to 200 texture streaming records with loaded_mb and stream_ms fields and need both a grouped category summary and a numeric range filter in a single call. It is ideal for game performance teams analyzing per-area texture loading behavior or filtering streaming anomalies by value range without needing external data enrichment, predictions, or real-time lookups.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes a validation error
- minimum greater than maximum causes an empty or invalid interval filter result
- Unrecognized field value (not loaded_mb or stream_ms) returns a schema validation error
- Null values in loaded_mb or stream_ms may be excluded from numeric summaries

## How this service works

Texture streaming — Grouped numeric summary + Numeric interval filter: Grouped numeric summary + Numeric interval filter for supplied texture streaming records (loaded_mb, stream_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 grouped numeric summary breaking down statistics (e.g. count, mean, min, max) for the selected metric (loaded_mb or stream_ms) segmented by game_area, and (2) a filtered subset of records where the chosen field falls within the specified [minimum, maximum] interval. Both reports are computed locally without external data lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "game_area",
     "date",
     "loaded_mb",
     "stream_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
     },
     "loaded_mb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "stream_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "game_area": "group-a",
     "loaded_mb": 10,
     "stream_ms": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "game_area": "group-b",
     "loaded_mb": 20,
     "stream_ms": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "game_area": "group-a",
     "loaded_mb": 15,
     "stream_ms": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "game_area": "group-b",
     "loaded_mb": 30,
     "stream_ms": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "loaded_mb",
    "stream_ms"
   ],
   "type": "string",
   "default": "loaded_mb"
  },
  "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/texture-streaming-analytics-grouped-numeric-summary-numeric-interval-14ec53f6/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)