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Document Section Coverage — Record Quality Audit + String Normalisation + Numeric Row Ordering
x402
Document Section Coverage — Record Quality Audit + String Normalisation + Numeric Row Ordering 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).
Audits record quality, normalises strings, and orders rows numerically for document section coverage data (present_sections, required_sections) across up to 200 rows, producing 3 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Document section coverage — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied document section coverage records (present_sections, required_sections). 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
Three independent analytical reports: (1) a record quality audit flagging missing, null, or out-of-range values in the supplied rows; (2) a string normalisation report standardising text fields like document_group; (3) a numeric row ordering report ranking rows by the selected field (present_sections or required_sections). All reports are computed locally from supplied data with no external lookups.
Example use cases
Compliance coverage gap detection
“I need to audit my compliance document records for data quality issues — I have 50 rows with document groups, dates, and counts of present versus required sections. Can you run the record quality audit, string normalisation, and numeric ordering reports on them so I can spot gaps and bad data?”
Editorial checklist completeness ranking
“We track how many sections each editorial document has present out of the required total. Can you take my 30 document rows and produce a quality audit plus sort them by required_sections so I can prioritise which ones need the most work?”
Policy document section tracking cleanup
“Our policy team has 120 rows of document section coverage records with inconsistent group name formatting and some null values in present_sections. Can you run string normalisation, a record quality audit, and numeric row ordering on these records so we can clean up before our review?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-writing-01-196?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical operations — record quality audit, string normalisation, and numeric ordering — applied simultaneously to document section coverage data at low cost ($0.01 for all three reports on up to 200 rows). Prefer this over separate tools when your data involves present_sections and required_sections fields and you want offline, deterministic analysis with no external API calls or predictions.
Side effects
- Fewer than 1 row supplied — rejected with validation error
- More than 200 rows supplied — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — rejected by pattern validation
- Missing required fields (row_id, document_group, date, present_sections, required_sections) — rejected
- Invalid field enum value (not 'present_sections' or 'required_sections') — rejected
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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