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Ownership Record Completeness — Two-Measure Correlation + Date-by-Category Pivot
x402
Ownership Record Completeness — Two-Measure Correlation + Date-by-Category Pivot 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).
Runs two statistical reports on ownership record completeness data: a Pearson/Spearman correlation between documented_links and required_links, plus a date-by-category pivot table, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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.
Output
Returns two independent analytical reports: (1) a two-measure correlation report showing the statistical relationship (e.g. Pearson r) between documented_links and required_links across all supplied rows, and (2) a date-by-category pivot table aggregating values by date and company_group. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Ownership completeness audit across subsidiaries
“I have ownership completeness data for four subsidiaries over Q4 — can you correlate documented_links with required_links and also give me a pivot of documented_links by date and company group? I'll paste the rows: row-1, 2026-10-01, group-alpha, doc=50, req=60; row-2, 2026-10-02, group-beta, doc=40, req=55; row-3, 2026-10-03, group-alpha, doc=65, req=60; row-4, 2026-10-04, group-beta, doc=70, req=55.”
Regulatory compliance link gap analysis
“For our compliance report, I need to know how strongly our documented ownership links correlate with the required number, and I need a breakdown of documented_links by date and entity group. Here are 6 records spanning two groups over three dates — please run both the correlation and the date-category pivot.”
Monthly ownership data completeness review
“Can you analyze our ownership registry data for October? I want a correlation between how many links we've documented versus how many are required, plus a pivot showing documented_links grouped by company_group and date. I have 12 rows across three company groups.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a pairwise correlation analysis and a date-by-category pivot on ownership record completeness data in a single API call. It is purpose-built for ownership link datasets (documented_links vs required_links) and bundles two reports for $0.01 USDC, making it cost-efficient versus calling separate analytics endpoints. Prefer it over generic stats tools when your data fits the ownership completeness schema with up to 200 rows and you want offline, supply-side computation with no external data access.
Side effects
- Input rows array is empty or missing — returns validation error
- Row count exceeds 200 — request rejected
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- Null values in documented_links or required_links may reduce correlation sample size
- Payment not received or insufficient USDC — x402 payment required error
- row_id missing or empty string — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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