# Scene Geometry Trailing Mean + IQR Outlier Flags

> Scene Geometry Trailing Mean + 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 a trailing mean time series and IQR-based outlier flags for scene geometry metrics (object_count or triangle_count) across up to 200 supplied rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-05-149?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-trailing-mean-iqr-outlier-flags-60b55ec9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_z1QR5SESH2X1C49WFz-fC

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-trailing-mean-iqr-outlier-flags-60b55ec9 -d '<json body>'
```

Example prompt: Analyze my scene geometry data for the 'characters' asset group — I have 50 rows with dates and object_count values — and compute the trailing mean with a window of 5 along with IQR outlier flags for the object_count field so I can spot any anomalous geometry spikes.

## When to prefer this

Choose this endpoint when you have tabular scene geometry records (object_count, triangle_count) and need both a rolling/trailing mean trend and IQR-based outlier detection in a single low-cost call. It is ideal for 3D asset pipelines, game development QA workflows, or any scenario where you supply your own data and need local statistical analysis without external lookups or predictions. Prefer it over general-purpose analytics when your data fits the scene geometry schema and you need two reports (mean series + outlier flags) for $0.01.

## Known failure modes

- Fewer than 1 row supplied — minimum row count not met
- More than 200 rows submitted — exceeds maximum row limit
- Missing required fields (row_id, date, object_count, triangle_count) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Window size outside allowed range of 2–200
- Payment not completed or insufficient USDC balance
- Field enum value not one of 'object_count' or 'triangle_count'

## How this service works

Scene geometry — Trailing mean series + IQR outlier flags: Trailing mean series + 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

Returns two analytical reports: (1) a trailing mean time series computed over the specified window for the chosen field (object_count or triangle_count), and (2) IQR-based outlier flags per row identifying records that fall outside the interquartile range. Results cover up to 200 input rows with no external data enrichment.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/scene-geometry-trailing-mean-iqr-outlier-flags-60b55ec9/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)