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Dataset Storage Record Quality Audit + Daily Sum Series
x402
Dataset Storage 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 2026-10-15).
Runs two local analytical reports on supplied dataset storage records: a record quality audit and a daily sum time series for used_mb or row_count metrics, supporting up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied dataset storage records (used_mb, row_count). 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 reports: (1) a record quality audit flagging issues such as missing values, nulls, or anomalous entries across the supplied rows; and (2) a daily sum time series aggregating the selected numeric field (used_mb or row_count) by date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Monthly storage usage audit
“I've got 120 rows of storage logs from October — each has a date, dataset group, used_mb, and row_count. Can you run the record quality audit and daily used_mb sum series on them so I can spot any bad records and see how storage trended day by day?”
Row count trend analysis by date
“Here are my dataset storage records for the last 60 days across three groups. Can you audit the data quality and generate a daily sum series using row_count so I can see how record volume changed over time?”
Data quality check before pipeline handoff
“Before I pass this storage dataset downstream, can you do a quality audit and daily sum on the used_mb field? I have 80 rows with dates, row IDs, and dataset group labels that I want checked for issues first.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a daily aggregated time series computed from user-supplied dataset storage records in a single call, without any external data access or predictions. Ideal for pre-pipeline validation or exploratory storage trend analysis on batches of up to 200 records at very low cost ($0.01 USDC for both reports).
Side effects
- Exceeding 200 rows returns an error — batch must be split
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) causes validation failure
- Invalid date format (not YYYY-MM-DD) triggers a pattern mismatch error
- Supplying an unsupported field enum value (not used_mb or row_count) returns an error
- Empty rows array rejected — at least 1 row required
- Numeric values outside the allowed range may be rejected or flagged
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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