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Backup Exercises Record Quality Audit + Daily Sum Series
x402
Backup Exercises Record Quality Audit + 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 2026-11-02).
Runs two analytical reports (record quality audit and daily sum series) on up to 200 rows of backup exercise data (restore_minutes or restored_gb).
Price / call$0.01
Success—
StatusUnknown
How this service works
Backup exercises — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied backup exercises records (restore_minutes, restored_gb). 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 identifying missing, null, or anomalous values across the submitted rows, and (2) a daily sum series aggregating the selected numeric field (restore_minutes or restored_gb) by date. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Audit backup restore log quality
“I have a batch of backup exercise records with restore_minutes and restored_gb values across dates and control groups — can you run a record quality audit on them so I can see which rows have missing or suspicious values? Use restore_minutes as the focus field.”
Daily sum trend for restored gigabytes
“Take these backup exercise records and give me a daily sum series for restored_gb so I can see how much data was restored each day across my control groups.”
Pre-reporting data validation for backup ops
“Before I include this backup exercise dataset in my weekly ops report, can you run both a record quality audit and a daily sum series on these rows using restore_minutes, so I can catch any bad data and see the daily aggregates?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-security-05-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — a data quality audit plus a daily aggregation series — on a modest batch of backup exercise records (up to 200 rows) without requiring any external data source, live lookup, or prediction. It is ideal for pre-reporting validation of backup restore logs where both completeness checking and daily trend summarization are needed in a single low-cost call.
Side effects
- Submitting more than 200 rows returns an error or truncated results
- Invalid date format (not YYYY-MM-DD) may cause row rejection or parsing errors
- Null values in the selected field are flagged in the quality audit but may reduce sum series completeness
- Missing required fields (row_id, control_group, date) cause row-level validation failures
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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