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Ownership Record Completeness Analyzer — Category Frequencies & IQR Outlier Flags
x402
Ownership Record Completeness Analyzer — Category Frequencies & 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).
Analyzes ownership record completeness data (documented_links, required_links) to produce category frequency distributions and IQR-based outlier flags for up to 200 rows across 2 independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Category frequencies + IQR outlier flags: Category frequencies + 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 (one per submitted field up to the selected field): (1) category frequency counts broken down by company_group, and (2) IQR-based outlier flags per row identifying values that fall outside the interquartile range. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Compliance gap detection across company groups
“I have ownership records for two company groups — group-a and group-b — with documented_links and required_links values from Q4 2026. Can you run category frequency analysis and flag any IQR outliers in the documented_links field so I can see which groups have unusual documentation patterns?”
Data quality audit before regulatory submission
“Before I submit our ownership records, can you check the required_links field across all 150 rows for frequency distributions and flag any outliers using IQR? I need to know which rows are statistical anomalies so I can review them first.”
Monitoring link completeness trends by date
“I want to understand how our documented_links counts are distributed over the past few months of ownership records. Can you compute category frequencies and IQR outlier flags for the documented_links field across my 80 rows grouped by company and date?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of ownership record completeness data and need fast, local statistical analysis — specifically IQR outlier detection and category frequency distributions — without any external lookups or predictions. It is well-suited for data quality audits, compliance preparation, or spotting anomalies in documented vs. required link counts across company groups. It is not appropriate for large datasets (>200 rows), real-time data enrichment, or predictive modeling.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, company_group, date, documented_links, required_links) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema rejection
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Invalid field enum value (must be 'documented_links' or 'required_links') — schema error
- Payment not completed via x402 protocol — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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