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Export Validation — Record Quality Audit + Grouped Numeric Summary
x402
Export Validation — 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 2026-10-24).
Audits export validation records for quality issues and produces a grouped numeric summary of valid_rows or exported_rows fields, for up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary for supplied export validation records (valid_rows, exported_rows). 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 reports: (1) a record quality audit flagging data issues such as nulls, out-of-range values, or malformed fields across the submitted rows; and (2) a grouped numeric summary of the selected field (valid_rows or exported_rows) aggregated by dataset_group, including statistics like counts, sums, and averages per group.
Example use cases
ETL pipeline export quality check
“I have 120 rows of export validation records with dataset_group, date, valid_rows, and exported_rows — can you audit them for quality issues and give me a grouped numeric summary on the exported_rows field so I can spot which groups are underperforming?”
Daily dataset export reconciliation
“Run a record quality audit on my export validation data for October — here are the rows with row_id, dataset_group, date, valid_rows, and exported_rows — and summarize the valid_rows values grouped by dataset_group so I can see totals per group.”
Multi-group export volume analysis
“I want to compare valid_rows counts across my two dataset groups using my export validation records — can you audit the records for quality problems and produce a grouped numeric summary broken down by dataset_group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-005?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a grouped numeric summary of export validation records in a single paid call. It is ideal for ETL/data pipeline quality checks where you want to validate record completeness and simultaneously understand how valid or exported row counts distribute across named dataset groups. Prefer this over single-report endpoints when you need both audit and aggregation together at low cost ($0.01 for both reports). Not suitable for live data lookups, predictions, or external integrations — it operates purely on the data you supply.
Side effects
- Fewer than 1 row submitted — minimum row count not met
- More than 200 rows submitted — exceeds maximum batch size
- Missing required fields (row_id, dataset_group, date, valid_rows, or exported_rows) in any row
- Invalid date format (must match YYYY-MM-DD pattern)
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Invalid field enum value — must be 'valid_rows' or 'exported_rows'
- Payment not completed — x402 payment required before response is returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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