UV Layouts Data Quality Audit + String Normalisation + Equal-Width Histogram 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).
Runs three independent analytical reports on UV layout records: a record quality audit, string normalisation, and an equal-width histogram for island_count or occupied_percent fields.
UV layouts — Record quality audit + String normalisation + Equal-width histogram: Record quality audit + String normalisation + Equal-width histogram for supplied uv layouts records (island_count, occupied_percent). 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.
Returns three independent reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, and malformed fields; (2) a string normalisation report for text fields like asset_group and date; and (3) an equal-width histogram report for the selected numeric field (island_count or occupied_percent) divided into the specified number of bins (1–30, default 5). Covers up to 200 input rows.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-06-202?utm_source=zero.xyzChoose this endpoint when you need a combined, low-cost ($0.01 USDC) bundle of three analytical reports — quality audit, string normalisation, and histogram — on UV layout data specifically containing island_count and occupied_percent fields. It is ideal for 3D asset pipeline validation workflows where you want to quickly profile up to 200 rows of UV layout data without external lookups or predictions. Prefer alternatives if you need live data enrichment, ML-based predictions, or datasets with different domain schemas.
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
No reviews yet. Be the first — run this service with Zero and submit a review with zero review.
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"