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Texture Baking Data Deduplication and Dataset Comparison
x402
Texture Baking Data Deduplication and 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 2026-10-27).
Deduplicates exact rows and performs keyed dataset comparison on supplied texture baking records (bake_seconds, texture_pixels) across two datasets of up to 200 rows each.
Price / call$0.01
Success—
StatusUnknown
How this service works
Texture baking — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + Keyed dataset comparison for supplied texture baking records (bake_seconds, texture_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 independent reports: (1) an exact row deduplication report identifying duplicate entries within the supplied rows, and (2) a keyed dataset comparison report showing which rows differ between the two input datasets, based on row_id as the key, covering bake_seconds and texture_pixels fields.
Example use cases
Duplicate texture job log cleanup
“I exported my texture baking logs twice by mistake and ended up with duplicates mixed in. Can you deduplicate these records — each row has a row_id, asset_group, date, bake_seconds, and texture_pixels — and also compare them against my reference dataset to show what's actually new?”
Before/after render comparison
“I ran a texture bake optimization pass and want to compare the before and after datasets to see which assets changed their bake_seconds or texture_pixels. Here are the two sets of records, each with row_id, asset_group, date, bake_seconds, and texture_pixels — please deduplicate and do a keyed comparison.”
Asset group audit across two pipelines
“We have texture baking outputs from two different pipelines for the same asset groups and I need to know which rows are identical and which have differences in bake_seconds or texture_pixels. Can you run deduplication and a keyed comparison on both datasets?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-10-053?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have texture baking tabular data (bake_seconds, texture_pixels) and need both exact-match deduplication and a keyed row-level comparison between two datasets in a single $0.01 call, without requiring any external data lookup, live API, or ML prediction — purely local analytical processing on your supplied records.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, asset_group, date, bake_seconds, texture_pixels) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range trigger validation failure
- Empty rows array (minItems:1 not met) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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