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Page Extraction Coverage — Record Quality Audit + Numeric Row Ordering
x402
Page Extraction Coverage — Record Quality Audit + 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 2026-10-29).
Audits record quality and applies numeric row ordering to up to 200 page extraction coverage records, producing two independent analytical reports from supplied data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Page extraction coverage — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied page extraction coverage records (extracted_fields, expected_fields). 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 highlighting anomalies, missing values, and data integrity issues in the supplied extraction coverage rows; and (2) a numeric row ordering report ranking rows by the specified field (extracted_fields or expected_fields). No external lookups or predictions are performed — all analysis uses local engines on the supplied data only.
Example use cases
Web scraper coverage quality check
“I have 50 rows of page extraction coverage data from last week across three site groups — can you run a record quality audit and numeric row ordering on them using extracted_fields as the ranking field so I can see which rows have data issues and how they rank?”
Identify underperforming extraction sites
“Can you audit my extraction coverage records for quality problems and rank them numerically by expected_fields? I want to see which site groups consistently fall short of their expected field counts across my 120-row dataset.”
Pre-pipeline data validation for ETL
“Before I load this batch into our pipeline, please run a quality audit and numeric row ordering on these 80 page extraction records — row IDs etl-001 through etl-080, grouped by site_group, with extracted_fields as the ordering metric — so I can catch bad rows early.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-02-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 page extraction coverage records with extracted_fields and expected_fields metrics and need both a record-level data quality audit and a numeric ordering report in a single low-cost call. It is particularly suited for ETL pre-validation, web scraping QA pipelines, and coverage reporting where no live lookups or external data enrichment are needed — just fast, local analytical processing of supplied rows.
Side effects
- More than 200 rows submitted — request rejected, reduce to 200 or fewer rows
- Missing required fields (row_id, date, site_group, extracted_fields, expected_fields) — validation error returned
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- field enum value not recognized — must be 'extracted_fields' or 'expected_fields'
- Empty rows array — minimum 1 row required
- Numeric values out of allowed range — rejected by schema
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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