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Scene Geometry IQR Outlier Flags + Date by Category Pivot
x402
Scene Geometry IQR Outlier Flags + Date by Category Pivot 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).
Analyzes supplied scene geometry records (object_count, triangle_count) to produce IQR-based outlier flags and a date-by-category pivot table, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — IQR outlier flags + Date by category pivot: IQR outlier flags + Date by category pivot 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) IQR outlier flags per row indicating whether the specified field (object_count or triangle_count) is an outlier based on interquartile range analysis, and (2) a pivot table showing the chosen metric summarized by date and asset_group category. Covers up to 200 input rows per call.
Example use cases
Flag anomalous object counts in game assets
“I have scene geometry records for my game levels — each row has a row_id, asset_group, date, object_count, and triangle_count. Can you run IQR outlier flagging on object_count and also pivot the data by date and asset group so I can see which levels have unusual complexity?”
Audit triangle counts across art pipeline batches
“Here are 150 rows of 3D asset geometry exports from our art pipeline with row_id, asset_group, date, object_count, and triangle_count. Please flag any triangle_count outliers using IQR and give me a date-by-category pivot so I can see trends across groups.”
QA check on scene geometry before rendering
“Before we kick off the render job, can you analyze these scene geometry records — I need IQR-based outlier flags on object_count and a pivot table breaking down counts by date and asset_group? There are about 80 rows with row_id, date, asset_group, object_count, and triangle_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-178?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have scene geometry records with object_count and/or triangle_count metrics and need both statistical outlier detection (IQR-based) and a categorical pivot in a single low-cost call. Ideal for 3D asset pipelines, game level QA, or rendering pre-checks where you want to identify anomalous geometry and summarize trends by date and asset group simultaneously without setting up your own analytics stack.
Side effects
- Fewer than 1 row supplied — minimum 1 row required
- More than 200 rows supplied — maximum 200 rows enforced
- Missing required fields (row_id, asset_group, date, object_count, triangle_count) on any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Invalid field selector — must be 'object_count' or 'triangle_count'
- Null values in the numeric field selected may reduce IQR accuracy or be excluded from calculations
- row_id exceeds 80 character limit
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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