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Image Exports — String Normalisation + Exact Row Deduplication
x402
Image Exports — String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).
Normalises strings and removes exact duplicate rows from image export records containing width and height pixel dimensions, producing two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Image exports — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 two analytical reports: one covering string normalisation applied to the image export records (e.g. trimming, casing, whitespace standardisation on text fields like asset_group), and one covering exact row deduplication results identifying and removing fully identical rows from the supplied dataset of up to 200 image export rows.
Example use cases
Deduplicating image asset export pipeline
“I have a batch of image export records from our creative team with fields for row_id, asset_group, date, width_pixels, and height_pixels — some rows are exact duplicates. Can you run string normalisation and exact deduplication on them and give me the two reports?”
Cleaning creative asset dimension data
“Our image export dataset has inconsistent string formatting in the asset_group field and some exact duplicate rows. Run normalisation and deduplication on these records — there are about 150 rows with width and height pixel values — and give me both analytical reports.”
Pre-analysis image record quality pass
“Before we do any analysis on our image exports data, I want to normalise all the text fields and deduplicate any identical rows. The dataset has row_id, asset_group, date, width_pixels, and height_pixels columns with around 80 rows — can you generate the two cleaning reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-17-020?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have image export records with width and height pixel dimensions that need both string normalisation and exact row deduplication in a single call. It is ideal for pre-processing creative asset data before downstream analytics when you need two independent cleaning reports without any live lookups or external integrations. Prefer this over general-purpose deduplication tools when your data specifically involves image export dimensions organised by asset group and date.
Side effects
- Exceeding 200 rows results in rejection or truncation
- Missing required fields (row_id, date, width_pixels, height_pixels) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers schema error
- Submitting zero rows violates minItems constraint
- Pixel values outside the allowed numeric range cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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