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Company Record Completeness — IQR Outlier Flags + Missing-Value Fill
x402
Company Record Completeness — IQR Outlier Flags + Missing-Value Fill 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 explicit missing-value imputation on up to 200 company record completeness rows (populated_fields, required_fields), returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill 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 reports: (1) an IQR outlier flag report identifying which rows have outlier values in the selected field, and (2) a missing-value fill report where null or absent values are replaced using the chosen method (zero, mean, or median). Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Outlier audit for CRM completeness data
“I have 120 company records with populated_fields and required_fields counts and some values look suspiciously high or low — can you run IQR outlier flagging on the populated_fields column and also fill any nulls with the median?”
Missing-value cleanup before dashboard refresh
“Before I refresh my data completeness dashboard, can you impute missing required_fields values using mean fill and flag any IQR outliers in the same dataset? I have about 80 rows across two company groups.”
Data quality check across company groups
“I want to compare data completeness across group-a and group-b companies — can you flag which rows have outlier populated_fields counts using IQR and fill in any missing values with zero so I can see the full picture?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-180?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both IQR-based outlier detection and missing-value imputation on company record completeness metrics in a single call, without requiring any external data sources or live lookups. It is ideal for batch data-cleaning pipelines processing up to 200 rows of company completeness records (populated_fields, required_fields) where you want two independent analytical reports at low cost.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds batch limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- populated_fields or required_fields out of allowed numeric range — rejected
- Invalid method enum value (not zero/mean/median) — rejected
- Invalid field enum value — rejected
- Missing required row fields (row_id, company_group, date) — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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