Data Ingestion Batches — Two-Measure Correlation + Explicit Missing-Value Fill

API ↗

Data Ingestion Batches — Two-Measure Correlation + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Computes Pearson correlation between received_rows and accepted_rows across up to 200 data ingestion batch records, while filling missing values using zero, mean, or median imputation, and returns two analytical reports.

How this service works

Data ingestion batches — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied data ingestion batches records (received_rows, accepted_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 analytical reports covering: (1) Pearson correlation coefficient between received_rows and accepted_rows across the submitted batch records, and (2) the dataset with explicit missing-value fills applied using the chosen method (zero, mean, or median). Reports are computed locally from supplied data with no external lookups.