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Ownership Record Completeness — Grouped Numeric Summary + IQR Outlier Flags
x402
Ownership Record Completeness — Grouped Numeric Summary + IQR Outlier Flags 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 grouped numeric summary statistics and IQR-based outlier flags for ownership record completeness data (documented_links, required_links) across up to 200 rows, producing 2 independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Grouped numeric summary + IQR outlier flags: Grouped numeric summary + IQR outlier flags 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 grouped numeric summary showing statistics (mean, median, min, max, count, etc.) for the selected field broken down by company_group, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. Both reports cover up to 200 input rows.
Example use cases
Flag outlier companies in ownership data
“I have 80 ownership records with documented_links and required_links for different company groups — can you group them by company and flag any rows where documented_links looks like an outlier based on IQR?”
Audit link completeness across business units
“Run a grouped numeric summary on my required_links data across these company groups — I need to see which groups have unusually low or high values flagged as outliers so I can prioritize audits.”
Monthly ownership completeness review
“Here are 150 ownership completeness records from October 2026 — group them by company_group and give me a statistical summary with IQR outlier flags for the documented_links field so I can see which companies are underperforming.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-094?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both grouped descriptive statistics AND IQR-based outlier detection for ownership record completeness data in a single call. It is ideal for data quality audits of corporate ownership documentation where you want to identify anomalous companies or records without building your own statistical pipeline. Best for datasets up to 200 rows where the fields of interest are documented_links or required_links.
Side effects
- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, company_group, date, documented_links, required_links) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Null values in the selected numeric field may affect outlier computation
- Payment failure or insufficient USDC balance blocks request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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