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Correction Logs Quality Audit and Numeric Row Ordering
x402
Correction Logs Quality Audit and 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).
Performs a record quality audit and numeric row ordering on supplied correction log data (correction_count, published_items) for up to 200 rows, returning 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Correction logs — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied correction logs records (correction_count, published_items). 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
Returns two independent analytical reports: (1) a record quality audit flagging completeness and data issues across the supplied rows, and (2) a numeric row ordering ranking rows by the chosen field (correction_count or published_items). Up to 200 rows processed per call; no external lookups or live data involved.
Example use cases
News desk correction rate audit
“I have a week's worth of correction log data from our news channels — 10 rows with row IDs, dates, channel groups, correction counts, and published item counts. Can you audit the data quality and rank the rows numerically by correction_count so I can see which channels had the most corrections?”
Editorial quality check before reporting
“Before I submit my monthly editorial report, can you run a record quality audit and numeric ordering on these 50 correction log rows using the published_items field? I need to catch any data issues and get the rows ranked.”
Multi-channel correction volume comparison
“I want to compare correction volumes across our channel groups. Here are 30 correction log records with dates, channel_group labels, correction_count, and published_items — please audit the data quality and order the rows by correction_count.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-04-007?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular correction log data with correction_count and published_items fields and need both a data quality audit and a numeric ranking of rows in a single call. Ideal for editorial teams auditing news correction records or analysts validating correction log datasets before downstream reporting. Not suitable for live data lookups, predictive analytics, or datasets larger than 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, channel_group) on any row — validation error
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — rejected
- Empty rows array — minimum 1 item required
- Invalid field enum value (must be correction_count or published_items) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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