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Image Exports — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter
x402
Image Exports — Record Quality Audit + Exact Row Deduplication + Numeric Interval Filter 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 three local analytical reports on image export records: a record quality audit, exact row deduplication, and a numeric interval filter on pixel dimensions — all within a single call for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Image exports — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied image exports records (width_pixels, height_pixels). 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 in the supplied rows, (2) an exact row deduplication report identifying and removing duplicate records, and (3) a numeric interval filter report returning only rows where the selected pixel dimension field falls within the specified minimum–maximum range. All computed locally with no external lookups.
Example use cases
Pre-pipeline image data cleanup
“I have 150 image export records with row_id, asset_group, date, width_pixels, and height_pixels. Can you run a quality audit, remove exact duplicate rows, and filter out any records where height_pixels falls outside 480 to 4320? I need all three reports before I push this to production.”
Detecting duplicated asset export entries
“Our image export system might be generating duplicate entries. Can you deduplicate these 80 records by exact row match, also run a quality audit on them, and filter width_pixels to only keep rows between 1920 and 7680?”
Validating image dimension data for a media archive
“I'm reviewing image exports for our media archive — about 200 rows with width_pixels and height_pixels fields. Please audit the record quality, deduplicate, and filter to only rows where width_pixels is between 0 and 1920 so I can spot any outliers or bad data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-17-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously assess data quality, remove duplicates, and filter by numeric pixel dimension range on image export records in a single cheap call ($0.01 USDC). It is ideal for pre-processing image asset datasets before ingestion into pipelines, archives, or reporting systems, and when no external lookups, predictions, or live data are needed — only local analytical computation on supplied rows of up to 200 records.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Missing required fields (row_id, asset_group, date, width_pixels, height_pixels) — rejected
- Minimum greater than maximum for interval filter — may return empty filtered result
- Null pixel values may affect interval filter results — nulls typically excluded from range
- Payment not provided or insufficient — 402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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