# Scene Geometry Grouped Numeric Summary with IQR Outlier Flags

> Scene Geometry Grouped Numeric Summary with IQR Outlier Flags is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Computes grouped descriptive statistics and IQR-based outlier flags for scene geometry records (object_count, triangle_count) across up to 200 rows, producing two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-094?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scene-geometry-grouped-numeric-summary-with-iqr-outlier-flags-10d9dcef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_U5c8cIo7cJztjtseAiV95

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 scene-geometry-grouped-numeric-summary-with-iqr-outlier-flags-10d9dcef -d '<json body>'
```

Example prompt: Analyze my scene geometry data for outliers and group summaries — here are 50 rows with row_id, asset_group, date, object_count, and triangle_count fields; flag any IQR outliers in object_count and give me a grouped numeric summary per asset group.

## When to prefer this

Choose this endpoint when you have tabular scene geometry records (up to 200 rows) and need both grouped descriptive statistics and IQR outlier detection in a single call for object_count or triangle_count. It is ideal for 3D pipeline QA, game asset audits, or any workflow where you want to spot geometry anomalies by asset group without setting up your own analytics infrastructure. It is not appropriate for real-time lookups, predictions, or datasets larger than 200 rows.

## Known failure modes

- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- Missing required row fields (row_id, asset_group, date, object_count, triangle_count) — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema rejection
- Field value not one of allowed enum values (object_count, triangle_count) — rejected
- All values null for selected field — may produce empty or degenerate statistics
- row_id exceeds 80 character limit — schema rejection

## How this service works

Scene geometry — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags for supplied scene geometry records (object_count, triangle_count). 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 grouped numeric summary (e.g. mean, median, min, max, quartiles) of the selected field (object_count or triangle_count) broken down by asset_group, and (2) per-row IQR outlier flags indicating which records fall outside the interquartile range bounds. Both reports are derived entirely from the supplied data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-grouped-numeric-summary-with-iqr-outlier-flags-10d9dcef/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)