# Scene Geometry IQR Outlier Flags + Secondary-Measure Weighted Mean

> Scene Geometry IQR Outlier Flags + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Runs two local statistical reports on scene geometry rows: IQR-based outlier detection and a secondary-measure weighted mean, for object_count and triangle_count data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-177?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/scene-geometry-iqr-outlier-flags-secondary-measure-weighted-mean-a1cb7983
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_avp2d2HykwzmyoZqpX7RC

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-iqr-outlier-flags-secondary-measure-weighted-mean-a1cb7983 -d '<json body>'
```

Example prompt: Can you run IQR outlier detection and a weighted mean report on my scene geometry data — I have rows with object_count and triangle_count for asset groups like 'group-a' and 'group-b' across dates in October 2026, and I want to analyze the object_count field?

## When to prefer this

Choose this endpoint when you need fast, local IQR outlier detection and weighted mean statistics on scene geometry data (object_count and triangle_count) without any external API calls or live data lookups. Ideal for 3D asset pipeline QA, game engine scene audits, or batch geometry validation where you want two complementary statistical views (outlier flags + weighted mean) in a single low-cost call on up to 200 rows.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, date, object_count, triangle_count) in any row — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Invalid field enum value (not object_count or triangle_count) — rejected
- All values null — IQR and weighted mean may be undefined or return empty results
- Payment of 0.01 USDC not completed — endpoint returns 402

## How this service works

Scene geometry — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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

Returns two independent statistical reports for the submitted scene geometry rows: (1) IQR outlier flags identifying which rows have extreme values for the selected field, and (2) a secondary-measure weighted mean calculated across the submitted data. Both reports are computed locally 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-iqr-outlier-flags-secondary-measure-weighted-mean-a1cb7983/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)