Dataset Storage Record Quality Audit + Grouped Numeric Summary 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 analytical reports on supplied dataset storage records: a data quality audit and a grouped numeric summary for used_mb or row_count fields, for up to 200 rows.
Dataset storage — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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.
Two independent analytical reports: (1) a record quality audit flagging issues such as nulls, out-of-range values, or missing fields across the supplied rows, and (2) a grouped numeric summary (e.g. count, mean, min, max) of the selected field (used_mb or row_count) broken down by dataset_group. All analysis is performed locally on the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-005?utm_source=zero.xyzChoose this endpoint when you need both a data quality audit and a grouped numeric summary in a single call for dataset storage records (used_mb/row_count), processing up to 200 rows at once with no external data dependencies. It is ideal for lightweight, offline-style analytics on storage telemetry data where you want to validate record completeness and get grouped descriptive statistics simultaneously for a flat fee of $0.01 USDC.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
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