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Localization Coverage Record Quality Audit and String Normalisation
x402
Localization Coverage Record Quality Audit and String Normalisation 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).
Performs a dual-report quality audit and string normalisation on up to 200 localization coverage records containing source and translated string counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Localization coverage — Record quality audit + String normalisation: Record quality audit + String normalisation for supplied localization coverage records (source_strings, translated_strings). 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
Two independent analytical reports: (1) a record quality audit flagging data issues across the supplied localization coverage rows, and (2) a string normalisation report standardising the source_strings and translated_strings values — all computed locally from the supplied data, with no external lookups or predictions.
Example use cases
Game localisation QA before release
“I've got 150 rows of localization coverage data for my game, each with a game area, date, source string count and translated string count — can you run a quality audit and string normalisation report on all of them so I can spot any bad data before our release?”
Translation completeness check by area
“Can you audit these 80 localization records across group-a and group-b from October 2026, with source_strings and translated_strings counts per row, and tell me where the data quality looks off or where strings need normalising?”
Data hygiene check on localisation pipeline output
“Our translation pipeline output 200 coverage records with row IDs, dates, game areas, and string counts — please run both the quality audit and the string normalisation report so I can clean up the dataset before handing it to the QA team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-18-001?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost dual-report quality audit and string normalisation specifically for localization coverage data (source vs translated string counts) organised by game area and date, with no need for live external data, predictions, or professional assessment. Best suited for game development teams running local data hygiene checks on up to 200 rows at $0.01 per call.
Side effects
- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, game_area, date, source_strings, translated_strings) cause validation errors
- Invalid date format (not YYYY-MM-DD pattern) triggers schema rejection
- source_strings or translated_strings values outside the allowed numeric range cause errors
- Empty rows array (minItems:1 not met) returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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