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Scene Geometry Record Quality Audit + String Normalisation + Category Frequencies
x402
Scene Geometry Record Quality Audit + String Normalisation + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).
Runs three local analytical reports on scene geometry rows: a record quality audit, string normalisation, and category frequency counts for object_count and triangle_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — Record quality audit + String normalisation + Category frequencies: Record quality audit + String normalisation + Category frequencies for supplied scene geometry records (object_count, triangle_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent reports for up to 200 input rows: (1) a record quality audit flagging missing, malformed, or out-of-range values; (2) normalised versions of string fields such as asset_group; (3) category frequency counts showing the distribution of object_count and triangle_count values across the dataset. All processing is done locally with no external lookups.
Example use cases
Pre-render pipeline data quality check
“Before we kick off the render jobs, can you audit these 80 scene geometry records for data quality issues, normalise the asset group names, and show me the frequency counts for object_count and triangle_count categories? Here are the rows with row_id, asset_group, date, object_count, and triangle_count.”
Asset group string cleaning and frequency report
“Our scene geometry export has inconsistent asset group labels across 150 rows — can you normalise those strings and also give me a category frequency breakdown of how many objects and triangles appear per group? The rows have row_id, asset_group, date, object_count, and triangle_count.”
3D scene audit for QA review
“I need a QA audit of our 3D scene geometry dataset — 60 rows — checking for record quality problems, normalising any messy asset group strings, and giving me frequency counts for the object and triangle counts. Fields are row_id, asset_group, date, object_count, and triangle_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-195?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three of a quality audit, string normalisation, and category frequency analysis on scene geometry data in a single low-cost call. It is purpose-built for 3D creative pipeline data with object_count and triangle_count fields, making it more targeted than a generic data quality tool. Ideal for batch pre-flight checks before render jobs or asset handoffs.
Side effects
- Fewer than 1 row provided returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Rows missing required fields (row_id, asset_group, date, object_count, triangle_count) cause schema validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Numeric values outside the allowed range cause rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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