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Company Record Completeness — Numeric Distribution & IQR Outlier Flags
x402
Company Record Completeness — Numeric Distribution & 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 2026-10-19).
Computes numeric distribution statistics and IQR-based outlier flags for up to 200 company record completeness rows (populated_fields or required_fields), returning two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — Numeric distribution + IQR outlier flags: Numeric distribution + IQR outlier flags 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
Two analytical reports covering: numeric distribution statistics (min, max, mean, median, quartiles, standard deviation) and IQR-based outlier flags for the specified field (populated_fields or required_fields) across the submitted rows, identifying which records fall outside the interquartile range bounds.
Example use cases
Data quality audit across business units
“I have 180 company records from our CRM across three business groups, each with populated_fields and required_fields counts. Can you run a numeric distribution analysis and flag any records where the populated_fields value is an IQR outlier so I know which companies have suspiciously incomplete data?”
Monitoring required fields completeness drift
“Here are 90 company records from our last data sync — I need a distribution summary and IQR outlier flags on the required_fields column so I can see if any company groups are consistently falling short of expectations.”
Pre-migration data validation check
“Before we migrate these 200 company records to our new system, can you analyze the spread of populated_fields values and identify any outliers using IQR? I want to catch any records that look statistically anomalous before the move.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-080?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need fast, offline statistical analysis (distribution + IQR outlier detection) on company record completeness data without requiring any external lookup, prediction, or live data. It is ideal for batch data quality audits, pre-migration checks, or CRM health reviews where you have up to 200 rows of populated_fields/required_fields data ready to analyze locally. Prefer this over general-purpose analytics tools when you need two independent completeness reports in a single low-cost call.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds limit
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — schema validation failure
- Invalid date format not matching YYYY-MM-DD pattern — rejected
- Invalid field enum value — rejected
- All null values for selected numeric field — unable to compute distribution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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