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Scene Geometry Data Quality Audit, String Normalisation & Numeric Distribution
x402
Scene Geometry Data Quality Audit, String Normalisation & Numeric Distribution 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).
Runs three local analytical reports on scene geometry records (object_count, triangle_count): record quality audit, string normalisation, and numeric distribution — up to 200 rows, no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — Record quality audit + String normalisation + Numeric distribution: Record quality audit + String normalisation + Numeric distribution 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
Three independent analytical reports: (1) a record quality audit flagging completeness and validity issues per row, (2) a string normalisation report for asset_group and other string fields, and (3) a numeric distribution summary (e.g. min, max, mean, quartiles, histogram) for the selected numeric field (object_count or triangle_count). All computed locally with no external data sources.
Example use cases
3D Asset Pipeline Data Quality Check
“I have a batch of scene geometry records from our rendering pipeline — row IDs, asset groups, dates, and object/triangle counts — can you audit them for quality issues, normalize the asset group strings, and show me the distribution of object_count values? There are about 150 rows.”
Triangle Count Distribution for Game Assets
“Run a numeric distribution report on triangle_count across these scene geometry rows for our game asset groups — I also want to see string normalisation on the asset_group field and a record quality audit for the full dataset. Here are 80 rows.”
Scene Data Profiling Before Import
“Before we import this scene geometry dataset into our pipeline, can you do a three-part analysis: record quality audit, string normalisation, and numeric distribution for the object_count field? I've got around 60 rows with row_id, asset_group, date, object_count, and triangle_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-193?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a bundled, cost-effective ($0.01 USDC for all three reports) local data profiling pass on scene geometry records — specifically object/triangle count datasets up to 200 rows — without requiring external APIs, live lookups, or AI-based predictions. It is ideal for quick pre-import validation, asset pipeline QA, and lightweight distribution analysis of 3D scene data.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required row fields (row_id, date, object_count, triangle_count) causes rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected
- Selecting an invalid field enum value returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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