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Company Record Completeness — IQR Outlier Flags + Two-Measure Correlation
x402
Company Record Completeness — IQR Outlier Flags + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs IQR-based outlier detection and two-measure correlation analysis on company record completeness data (populated_fields, required_fields) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — IQR outlier flags + Two-measure correlation: IQR outlier flags + Two-measure correlation for supplied company record completeness records (populated_fields, required_fields). 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) IQR-based outlier flags identifying which rows have statistically anomalous values for the selected field, and (2) a two-measure correlation report showing the relationship between populated_fields and required_fields across the submitted rows. No external data is fetched; analysis is performed locally on the supplied data.
Example use cases
Flag outliers in CRM completeness audit
“I have a batch of 80 company records from our CRM audit with populated_fields and required_fields counts per row. Can you run IQR outlier flagging on populated_fields and also give me the two-measure correlation between populated_fields and required_fields?”
Data quality check across business units
“We track record completeness for two business units — group-a and group-b — over the past quarter. Run the IQR outlier detection and correlation analysis on this set of 120 rows and tell me which records are statistical outliers and how the two measures correlate.”
Detect anomalous records before data migration
“Before we migrate our company database, I want to spot any records with abnormal completeness scores. Here are 150 rows with populated_fields and required_fields for each company entry — please flag the IQR outliers and show me the two-measure correlation.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-176?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular company record completeness data (populated_fields and required_fields) and need both outlier detection via IQR and a two-measure correlation in a single low-cost call. It is best suited for batch analytical tasks on up to 200 rows where no external lookup, live data, or professional assessment is needed — just fast local statistical computation on supplied data.
Side effects
- Fewer than 1 row submitted — minItems validation error
- More than 200 rows submitted — maxItems exceeded error
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — schema validation failure
- Date field not matching YYYY-MM-DD pattern — pattern validation error
- Non-numeric or out-of-range values for populated_fields or required_fields — type/range validation error
- Invalid field enum value (not 'populated_fields' or 'required_fields') — enum validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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