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Ownership Record Completeness — Two-Measure Correlation + Missing-Value Fill
x402
Ownership Record Completeness — Two-Measure Correlation + 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/Spearman correlation between documented_links and required_links fields in ownership records, and fills explicit missing values using zero, mean, or median strategy, returning two analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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 analytical reports: (1) a Pearson/Spearman correlation report between documented_links and required_links across the supplied rows, and (2) a missing-value fill report for the selected field using the chosen strategy (zero, mean, or median), including imputed values and completeness statistics — all computed locally with no external lookups.
Example use cases
Corporate ownership audit correlation
“I've got a batch of ownership records for our company groups from Q4 — each row has a documented_links count and a required_links count, but some documented_links are null. Run a correlation between the two measures and fill the missing documented_links using median imputation so I can see how well documentation tracks requirements.”
Missing required_links zero-fill for completeness report
“We have 150 ownership tracking rows across group-a and group-b from 2026, and required_links has some nulls. Fill those missing required_links values with zero and also give me the correlation report between documented_links and required_links — I need two reports back.”
Monthly ownership completeness trend analysis
“Here are our monthly ownership completeness records — rows with date, company_group, documented_links, and required_links. Some documented_links entries are missing. Fill them using mean imputation and compute the correlation between the two link measures so I can see if documentation coverage tracks with what's required.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular ownership record data with documented_links and required_links columns and need both a correlation analysis and a missing-value imputation in a single paid call. Ideal for compliance analysts or data pipelines that track ownership documentation rates against requirements and need to handle null values before reporting. Prefer this over general-purpose statistics APIs when cost-per-call ($0.01 USDC for 2 reports, up to 200 rows) and local computation with no external data exposure are priorities.
Side effects
- Fewer than 1 row supplied — rejected by minItems constraint
- More than 200 rows supplied — rejected by maxItems constraint
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, company_group, date) — schema rejection
- Insufficient non-null values to compute correlation — degenerate report returned
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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