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Dataset Storage Record Quality Audit and Exact Row Deduplication
x402
Dataset Storage Record Quality Audit and Exact Row Deduplication 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 up to 200 dataset storage records: a record quality audit and exact row deduplication, using local engines on supplied used_mb and row_count data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Exact row deduplication: Record quality audit + Exact row deduplication 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 independent analytical reports: (1) a record quality audit identifying missing, null, or anomalous values in used_mb and row_count fields across the supplied rows, and (2) an exact row deduplication report listing which rows are identical duplicates. Both reports are computed locally against the supplied data with no external lookups.
Example use cases
Storage metrics deduplication before ETL
“Before I load this month's dataset storage metrics into our warehouse, can you check these 120 rows for exact duplicates and flag any quality issues in the used_mb and row_count fields? The rows span groups 'prod' and 'staging' from 2026-10-01 through 2026-10-31.”
Data quality audit for billing reconciliation
“I need to audit the quality of these 80 dataset storage records before our billing reconciliation — can you check for bad or missing used_mb and row_count values and also pull out any exact duplicate rows? Groups are 'client-a' and 'client-b', dates range from 2026-09-01 to 2026-09-30.”
Deduplication report for storage monitoring dashboard
“Our storage monitoring dashboard might have duplicate entries — can you run an exact deduplication check plus a record quality audit on these 45 rows from dataset groups 'eu-west' and 'us-east' dated between 2026-10-01 and 2026-10-15?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-002?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and exact deduplication on dataset storage records (used_mb, row_count) in a single low-cost call. Ideal for pre-ETL validation, billing reconciliation checks, or storage monitoring pipelines where you want offline, local analysis without any external data lookups. Best suited for batches of up to 200 rows where you need two structured reports at once.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause parse failures
- Empty rows array returns an error or empty report
- Extremely large numeric values for used_mb or row_count may cause unexpected behavior if outside expected range
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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