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Export Validation Analytics — Category Frequencies + Two-Measure Correlation
x402
Export Validation Analytics — Category Frequencies + 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 2026-10-24).
Computes category frequency counts and Pearson/rank correlation between valid_rows and exported_rows for up to 200 export validation records, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Export validation — Category frequencies + Two-measure correlation: Category frequencies + 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
Returns two analytical reports: (1) a category frequency table showing how often each dataset_group value appears across the submitted rows, and (2) a two-measure correlation result quantifying the statistical relationship between valid_rows and exported_rows. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline export quality check
“I have 50 daily export validation records across dataset groups A, B, and C — can you compute how frequently each group appears and whether the number of valid rows correlates with the number of exported rows?”
Detecting export drop-off by group
“Run a category frequency and two-measure correlation report on my export logs: I want to see which dataset groups dominate the data and whether valid_rows and exported_rows track each other closely or diverge.”
Monthly export audit statistical summary
“I need to audit last month's export validation records — 120 rows with dataset_group, date, valid_rows, and exported_rows fields. Give me a frequency breakdown by group and a correlation between the two numeric measures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-14-108?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a categorical frequency summary and a two-measure correlation analysis on export validation data (valid_rows vs exported_rows) in a single low-cost call. It is ideal for small-to-medium datasets up to 200 rows where all data is supplied directly — no external data fetching, prediction, or professional assessment is needed. Prefer this over generic analytics tools when working within a structured export pipeline audit workflow that already has row_id, dataset_group, date, valid_rows, and exported_rows fields available.
Side effects
- Fewer than 1 row submitted returns a validation error
- More than 200 rows submitted exceeds the row limit and is rejected
- Rows missing required fields (row_id, dataset_group, date, valid_rows, exported_rows) fail schema validation
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 are rejected
- Null values for both numeric measures may produce undefined correlation results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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