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Scene Geometry Record Quality Audit + IQR Outlier Flags
x402
Scene Geometry Record Quality Audit + 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).
Audits quality and flags IQR-based outliers for scene geometry records containing object_count and triangle_count metrics, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — Record quality audit + IQR outlier flags: Record quality audit + 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 independent analytical reports: (1) a record quality audit identifying missing, null, or malformed values across the supplied geometry rows, and (2) IQR-based outlier flags indicating which rows have statistically anomalous values in the selected field (object_count or triangle_count). Results cover up to 200 input rows using local analytical engines with no external data lookups.
Example use cases
3D game asset pipeline QA
“I need a quality audit and outlier report for my game's scene geometry records — I've got 120 rows covering asset groups 'props', 'terrain', and 'npcs' with dates from 2026-09-01 to 2026-09-30. Flag any IQR outliers in the triangle_count field so I can catch bad exports before shipping.”
Animation studio geometry validation
“Can you audit these 80 scene geometry records from our animation pipeline? They span asset groups 'background' and 'foreground' with dates in November 2026 and I want to check object_count for data quality issues and outliers.”
VR scene data health check
“Run a record quality audit and IQR outlier detection on my 50 VR scene geometry rows — asset groups are 'static_meshes' and 'dynamic_objects', dates range from 2026-08-01 to 2026-08-15, and check the object_count field for anything suspicious.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-014?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and IQR-based outlier detection specifically for scene geometry data (object_count, triangle_count) in a single low-cost call. It processes up to 200 rows locally with no external lookups, making it ideal for fast, offline-safe data QA in 3D asset pipelines, game development, or animation workflows where you need statistical anomaly detection alongside quality checks.
Side effects
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, asset_group) in one or more rows
- Invalid date format not matching YYYY-MM-DD pattern
- row_id empty or exceeds 80 characters
- field enum value not one of 'object_count' or 'triangle_count'
- Payment failure via x402 protocol blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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