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Export Validation — Record Quality Audit + Two-Measure Correlation
x402
Export Validation — Record Quality Audit + Two-Measure Correlation 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 a record quality audit and a two-measure correlation analysis on export validation rows (valid_rows vs exported_rows) for up to 200 supplied records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Record quality audit + Two-measure correlation: Record quality audit + Two-measure correlation 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
Two independent analytical reports: (1) a record quality audit identifying issues, nulls, or anomalies in the supplied rows, and (2) a two-measure correlation report quantifying the statistical relationship between valid_rows and exported_rows across the submitted dataset. Results are derived entirely from the supplied data using local analytical engines, with no external lookups or predictions.
Example use cases
Export pipeline integrity check
“I have daily export logs for two dataset groups over the past month — can you run a quality audit on the records and tell me if valid_rows and exported_rows are moving together? I'll give you up to 30 rows with dates, group names, and both counts.”
Dataset group correlation audit
“We have export validation data split across group-a and group-b for October — can you check whether there are any data quality issues in the records and measure the correlation between valid_rows and exported_rows for us?”
Export validation anomaly review
“Here are 50 rows from our export validation system with row IDs, dates, dataset groups, valid_rows, and exported_rows — can you audit them for record quality problems and run a two-measure correlation analysis between the valid and exported counts?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-015?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a record quality audit and a correlation analysis on export validation data (valid_rows vs exported_rows) in a single paid call. Ideal for data engineering teams validating export pipeline outputs in batches up to 200 rows. Prefer this over single-analysis endpoints when you need two reports from one request to reduce cost and latency. Not suitable if you need live data lookup, predictions, external enrichment, or more than 200 rows.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maximum batch size
- Missing required fields (row_id, date, valid_rows, exported_rows, dataset_group) — validation error
- Date field not in YYYY-MM-DD format — schema validation failure
- row_id or dataset_group exceeds 80 character limit — rejected
- Numeric values outside allowed range — schema error
- Payment of 0.01 USDC not completed — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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