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Image Exports — String Normalisation + Keyed Dataset Comparison
x402
Image Exports — String Normalisation + Keyed Dataset Comparison 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).
Normalises string fields and performs keyed row-by-row comparison between two supplied image-export datasets (width_pixels, height_pixels) for up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Image exports — String normalisation + Keyed dataset comparison: String normalisation + Keyed dataset comparison 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
Returns 2 analytical reports: (1) a string normalisation report showing cleaned/standardised string field values across the supplied rows, and (2) a keyed dataset comparison report highlighting row-level differences in width_pixels and height_pixels between the 'rows' and 'other' input datasets, matched by row_id.
Example use cases
Detecting resolution drift across export batches
“I have two CSV exports of image assets from our DAM — one from last month and one from this week — each with row_id, asset_group, date, width_pixels, and height_pixels. Normalise the asset_group strings and compare them row-by-row so I can see which images changed dimensions.”
QA check on image pipeline output
“Our image processing pipeline ran twice on the same input and produced two output logs with width_pixels and height_pixels per image ID. Can you normalise the string fields and do a keyed comparison to flag any rows where the outputs don't match?”
Auditing image exports from two vendor sources
“I'm getting image export records from two different vendors — both have row_id, asset_group, date, and pixel dimensions. Run a string normalisation and keyed dataset comparison on both sets so I can see where they disagree on image sizes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-17-036?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to locally compare two batches of image export records by key, with string field normalisation included, at very low cost ($0.01 USDC for both reports). It is best suited for offline/batch analytical work on up to 200 rows of width/height pixel data where no external lookup, live data fetch, or ML prediction is needed.
Side effects
- Missing required fields (row_id, asset_group, date, width_pixels, height_pixels) cause validation errors
- Exceeding 200 rows per dataset triggers a row limit rejection
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Mismatched row_ids between 'rows' and 'other' datasets may result in unmatched or skipped rows in comparison
- Empty array input (minItems: 1 not satisfied) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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