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Dataset Storage Analytics: Record Quality Audit + Exact Row Deduplication + Daily Sum Series
x402
Dataset Storage Analytics: Record Quality Audit + Exact Row Deduplication + 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 three independent analytical reports — record quality audit, exact row deduplication, and daily sum series — on up to 200 dataset storage records (used_mb or row_count fields).
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Exact row deduplication + Daily sum series: Record quality audit + Exact row deduplication + Daily sum series for supplied dataset storage records (used_mb, row_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical report sections: (1) a record quality audit flagging nulls, missing fields, and anomalies; (2) an exact row deduplication report identifying duplicate records; and (3) a daily sum series aggregating the chosen metric (used_mb or row_count) by date — all computed locally without external lookups.
Example use cases
Storage usage daily rollup
“I have 120 rows of dataset storage logs with dates, group names, and used_mb values — can you compute a daily sum series on used_mb so I can see total storage consumed per day?”
Pre-load deduplication check
“Before I load these 80 dataset storage records into our warehouse, can you run an exact row deduplication report to find any duplicate entries across row_id, dataset_group, date, and used_mb?”
Data quality audit for row_count
“Can you audit the data quality of these 60 dataset storage records and flag any missing, null, or out-of-range values in the row_count field?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-215?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need all three analytical operations — quality audit, deduplication, and daily aggregation — run together in a single call on a batch of up to 200 dataset storage records, without needing live data lookup or external predictions. It is cost-effective ($0.01 USDC for all three reports) and ideal for pre-load validation pipelines or periodic data health checks on storage metrics.
Side effects
- More than 200 rows submitted — request rejected with row limit error
- Missing required fields (row_id, dataset_group, date) on any row — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Invalid field selector (not 'used_mb' or 'row_count') — enum validation error
- Empty rows array — minimum items constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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