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Localization Coverage Analyzer — Record Quality Audit, String Normalisation & Adjacent Row Changes
x402
Localization Coverage Analyzer — Record Quality Audit, String Normalisation & Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).
Runs three analytical reports (record quality audit, string normalisation, and adjacent row change detection) on up to 200 localization coverage rows containing source and translated string counts.
Price / call$0.01
Success—
StatusUnknown
How this service works
Localization coverage — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes for supplied localization coverage records (source_strings, translated_strings). 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.
Output
Returns three independent analytical reports: (1) a record quality audit flagging data issues in the supplied rows, (2) a string normalisation report standardising the numeric string count values, and (3) an adjacent row changes report highlighting differences between consecutive rows — all computed locally from the supplied localization coverage data without any external lookups.
Example use cases
Game localization sprint quality check
“I need to audit my localization coverage records for this sprint — I have 50 rows across game areas like 'ui-menu' and 'cutscenes' with dates from 2026-09-01 to 2026-09-30 and source and translated string counts. Can you run all three reports — quality audit, string normalisation, and adjacent row changes — on the source_strings field?”
Detecting translation gaps between game regions
“Can you check my localization data for translation gaps? I've got 120 rows covering regions like 'europe' and 'asia-pacific' with dates in October 2026, and I want to know if there are quality issues or big jumps between adjacent rows in the translated_strings counts.”
Normalising string count data before handoff
“Before I hand off these localization records to the QA team, can you normalise the string count data and flag any quality problems? I have about 80 rows with game_area labels like 'tutorial' and 'main-menu', dates from 2026-11-01 onward, and source_strings values I want checked.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-game-18-200?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous data-quality reports (audit, normalisation, adjacent-row diff) on up to 200 localization coverage records with source and translated string counts, and you want a fixed low cost ($0.01 USDC for all three reports) with no external API calls or live data lookups. Prefer it over single-report alternatives when you need the combined analytical bundle in one call for game localization workflows.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, game_area, date, source_strings, translated_strings) cause validation errors
- Date field not matching YYYY-MM-DD pattern causes schema rejection
- Numeric string counts outside the allowed range (±1,000,000,000,000) rejected
- Empty rows array (minItems: 1 not met) causes rejection
- Payment not processed — x402 payment failure blocks execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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