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Scene Geometry Record Quality Audit + Missing-Value Fill
x402
Scene Geometry Record Quality Audit + Missing-Value Fill 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 data quality and fills missing values in scene geometry records (object_count, triangle_count) for up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Scene geometry — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill 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 anomalous values in the scene geometry records, and (2) an explicit missing-value fill report showing replaced values for the selected field (object_count or triangle_count) using the chosen method (zero, mean, or median). No external lookups or predictions are performed.
Example use cases
3D asset pipeline data validation
“I have a batch of 3D scene records with object_count and triangle_count fields and I want to know which rows have missing or invalid values — can you run a quality audit on these 50 rows and also fill in any missing triangle_count values using the median?”
Missing geometry metric imputation
“Several of my scene geometry entries are missing object_count values — can you fill those nulls using the mean of the non-null rows and give me a report showing what was filled in? Here are 30 rows covering group-a and group-b assets from October 2026.”
Pre-export geometry data QA check
“Before I export my scene asset dataset, I need a quality audit to catch any bad or missing data in the object_count and triangle_count columns — can you run that check on my 100 rows and give me two separate reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-05-019?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and missing-value imputation for scene geometry records (object_count, triangle_count) in a single low-cost call. Ideal for 3D asset pipelines, game development data workflows, or rendering farm datasets where you need to identify and fix null values before downstream processing. Best for batches up to 200 rows where local analytical methods (zero/mean/median fill) are sufficient and no external prediction or live data lookup is needed.
Side effects
- More than 200 rows submitted — endpoint rejects input exceeding maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Field value outside allowed numeric range triggers rejection
- Missing required fields (row_id, date, object_count, triangle_count) cause validation errors
- Invalid enum value for method or field parameters returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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