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Ownership Record Completeness — Duplicate Key Report + IQR Outlier Flags
x402
Ownership Record Completeness — Duplicate Key Report + 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 supplied ownership record completeness data (documented_links, required_links) to produce a duplicate key report and IQR-based outlier flags for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Ownership record completeness — Duplicate key report + IQR outlier flags: Duplicate key report + 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 reports for the supplied ownership record rows: (1) a duplicate key report identifying rows with repeated identifiers (row_id, company_group, date combinations), and (2) IQR-based outlier flags for the selected numeric field (documented_links or required_links), covering up to 200 rows with no external data lookups.
Example use cases
Auditing corporate ownership link completeness
“I have 50 rows of ownership completeness records for several company groups — can you run a duplicate key check and IQR outlier detection on the documented_links field to find any data quality issues before I submit this report?”
Flagging anomalous required_links values
“Can you analyze these 120 ownership records and flag any IQR outliers in the required_links field, plus give me a duplicate row ID report? I want to clean up the dataset before importing it into our system.”
Pre-submission data quality check for compliance team
“Before we send this ownership completeness file to compliance, can you scan all 80 rows for duplicate company_group and date combinations and highlight any documented_links values that are statistical outliers based on IQR?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-21-065?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have ownership record completeness data (with documented_links and required_links fields) and need to simultaneously detect duplicate keys and flag statistical outliers using IQR — all from your own supplied data with no external lookups. Ideal for pre-import audits, compliance checks, or data cleaning workflows on datasets up to 200 rows.
Side effects
- Exceeding 200 rows returns an error or truncates input
- Missing required fields (row_id, company_group, date, documented_links, required_links) causes validation failure
- Invalid date format (not YYYY-MM-DD) rejected by pattern validation
- Numeric values outside ±1,000,000,000,000 range fail schema validation
- Empty rows array rejected (minItems: 1)
- Invalid field enum value (not documented_links or required_links) causes error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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