Record Routing 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 2026-10-23).
Computes category frequency distributions and a two-measure Pearson/statistical correlation between accepted_records and rejected_records across up to 200 supplied record routing rows.
Record routing — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied record routing records (accepted_records, rejected_records). 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.
Returns two independent analytical reports: (1) category frequency counts showing how often each dataset_group appears in the supplied rows, and (2) a two-measure statistical correlation between the accepted_records and rejected_records columns across all rows. Both reports are computed locally with no external lookups or predictions.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-19-108?utm_source=zero.xyzChoose this endpoint when you need a quick, cheap ($0.01 USDC) dual-report statistical analysis — category frequencies plus a two-measure correlation — on record routing data with accepted/rejected counts, without needing live lookups, predictions, or external integrations. Ideal for offline or batch post-processing of ingestion pipeline results, data quality audits, or validation run summaries with up to 200 rows.
| Field | Type | Description |
|---|---|---|
| rows | array |
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