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Image Exports Quality Audit & Missing-Value Fill
x402
Image Exports 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 2026-11-02).
Runs a record quality audit and explicit missing-value fill on image export records (width_pixels, height_pixels) for up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Image exports — Record quality audit + Explicit missing-value fill: Record quality audit + Explicit missing-value fill for supplied image exports records (width_pixels, height_pixels). 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
Two independent reports: (1) a record quality audit identifying issues such as null, out-of-range, or malformed values across the submitted rows; (2) an explicit missing-value fill report showing which rows had null width_pixels or height_pixels and the imputed replacement values using the chosen method (zero, mean, or median). No external lookups or predictions are made — all analysis uses local analytical engines on the supplied data.
Example use cases
Pre-pipeline image dimension validation
“I have 120 rows of image export data with width_pixels and height_pixels fields and some nulls scattered throughout — can you run a quality audit and fill the missing width_pixels using median imputation before I send this to the renderer?”
Asset group missing-height detection
“My image asset export has about 80 rows grouped by asset_group and I suspect some height_pixels values are missing — can you audit those records for quality issues and fill any missing height_pixels with zero?”
Weekly image export data QA
“Here are this week's image export records — 40 rows with dates, row IDs, and pixel dimensions — can you give me a quality audit report and also fill any missing width_pixels using the mean so I can spot problems before the team review?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-17-019?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined data quality audit plus missing-value imputation specifically for image export records containing pixel dimension fields (width_pixels, height_pixels). It is ideal for preprocessing image asset datasets before downstream rendering or analytics pipelines, especially when you want both a quality report and filled values in a single low-cost call for up to 200 rows.
Side effects
- Submitting more than 200 rows returns an error or truncated results
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Missing required fields (row_id) causes validation failure
- Invalid fill method enum value causes request rejection
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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