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Glossary Coverage — Record Quality Audit + String Normalisation + Daily Sum Series
x402
Glossary Coverage — Record Quality Audit + String Normalisation + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs three local analytical reports (record quality audit, string normalisation, and daily sum series) on glossary coverage data with covered_terms and required_terms fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Glossary coverage — Record quality audit + String normalisation + Daily sum series: Record quality audit + String normalisation + Daily sum series for supplied glossary coverage records (covered_terms, required_terms). 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 for the supplied glossary coverage rows: (1) a record quality audit flagging data issues, (2) a string normalisation report cleaning text fields, and (3) a daily sum series aggregating the selected numeric field (covered_terms or required_terms) by date. All processing is local with no external lookups.
Example use cases
Glossary data quality check for compliance
“I need to audit our glossary coverage records for data quality issues and normalise any inconsistent strings — here are 50 rows with row IDs, document groups, dates, covered_terms, and required_terms. Run all three reports on the covered_terms field.”
Daily term coverage aggregation for reporting
“Can you compute the daily sum series for required_terms across these 120 glossary coverage records grouped by date? I also want the record quality audit included so I can spot any bad rows before I send the report to management.”
Terminology gap analysis across document groups
“I have glossary coverage data for three document groups over the past month — about 180 rows total. Run the quality audit, string normalisation, and daily sum series on covered_terms so I can see where our terminology gaps are trending day by day.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-20-198?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled local analytical reports (quality audit, string normalisation, daily aggregation) on glossary coverage data in a single cost-efficient call ($0.01 for all three). Ideal when you have up to 200 rows of covered_terms/required_terms data and need offline, deterministic analysis without any external API calls or live predictions.
Side effects
- Exceeds 200-row limit — request rejected or truncated
- Invalid date format not matching YYYY-MM-DD pattern — validation error
- Missing required fields (row_id, document_group, date, covered_terms, required_terms) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejection
- Invalid field enum value (not covered_terms or required_terms) — error
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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