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Dataset Storage Record Quality Audit + Trailing Mean Series
x402
Dataset Storage Record Quality Audit + Trailing Mean 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 dataset storage records: a record quality audit and a trailing mean series for used_mb or row_count fields, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Trailing mean series: Record quality audit + Trailing mean 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 analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, or malformed records across the supplied rows; and (2) a trailing mean series computed over the selected field (used_mb or row_count) using the specified rolling window size. Both reports are derived entirely from the supplied data using local analytical engines — no external lookups or live data.
Example use cases
Storage usage trend smoothing
“I have 120 daily storage records for two dataset groups and want to see a trailing mean series on used_mb with a window of 7, plus a quality audit to flag any bad rows — can you run both reports at once?”
Row count data quality check
“Can you audit these 80 dataset storage records for quality issues and also compute a rolling average of row_count with a window size of 5? The rows span several groups and dates over the past quarter.”
Pre-pipeline storage data validation
“Before I load this dataset into our pipeline, run a record quality audit and a trailing mean for used_mb with a window of 4 on these 200 storage records so I can catch any anomalies or gaps.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a trailing mean series computed together from supplied dataset storage records in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes on up to 200 rows of storage metrics (used_mb, row_count) where no live data lookup or external prediction is needed. Prefer it over separate analytics tools when you want two coordinated local reports from the same row set without external side effects.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) in any row — validation error
- Missing required fields (row_id, dataset_group, date) in any row — schema error
- Window size less than 2 or greater than 200 — parameter error
- Field value outside allowed numeric range — validation error
- Payment not included or insufficient — 402 payment required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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