Ownership Record Completeness Analyzer — 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 2026-10-16).
Analyzes ownership record completeness data by computing category frequencies and Pearson/Spearman correlation between documented_links and required_links across up to 200 supplied rows.
Ownership record completeness — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation for supplied ownership record completeness records (documented_links, required_links). 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) a category frequency report showing the distribution of records across company_group categories, and (2) a two-measure correlation report quantifying the statistical relationship between documented_links and required_links across the supplied rows (up to 200). Both reports are computed locally with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-108?utm_source=zero.xyzChoose this endpoint when you need simultaneous category frequency analysis and two-measure correlation for ownership record completeness data (documented vs. required links) in a single low-cost call ($0.01 USDC). It is best suited for batch analysis of up to 200 rows of corporate ownership data where no live lookup, prediction, or external action is needed — purely local statistical computation on supplied data.
| Field | Type | Description |
|---|---|---|
| rows | array |
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