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Company Record Completeness — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Company Record Completeness — IQR Outlier Flags + Secondary-Measure Weighted Mean 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).
Analyzes up to 200 company record completeness rows to produce two statistical reports: IQR-based outlier flags and a secondary-measure weighted mean, using local analytical engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Company record completeness — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean 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 independent statistical reports for the supplied dataset: (1) IQR outlier flags identifying which rows have values that fall outside the interquartile range for the selected measure, and (2) a secondary-measure weighted mean computed across all supplied rows. Both reports are derived purely from the input data using local analytical engines.
Example use cases
Data quality audit for CRM records
“I have a batch of 80 company records from our CRM with populated_fields and required_fields counts per company group — can you flag any IQR outliers in populated_fields and compute the weighted mean so I can spot which records are dragging down our data quality?”
Identifying anomalous completeness in M&A due diligence
“We're doing due diligence on a portfolio of 120 target companies and I need to know which ones have statistically anomalous record completeness — can you run IQR outlier detection and a weighted mean on required_fields across these company groups?”
Monthly data completeness monitoring report
“Here are this month's record completeness numbers for our 60 business units, with populated_fields and required_fields by date and group — please flag the IQR outliers and calculate the secondary-measure weighted mean so I can include it in the monthly data governance report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-01-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local statistical analysis of company record completeness data — specifically IQR-based outlier detection and weighted mean computation — without any external data lookups or live APIs. Ideal for data quality audits, governance reporting, and anomaly detection on batches up to 200 rows. Prefer this over general-purpose analytics tools when you want a self-contained, low-cost ($0.01 USDC) dual-report output with no side effects.
Side effects
- Fewer than 1 row supplied — validation error returned
- More than 200 rows supplied — request rejected with maxItems violation
- Missing required fields (row_id, company_group, date, populated_fields, required_fields) — schema validation error
- Date field not matching YYYY-MM-DD pattern — validation error
- Null values in numeric fields may affect weighted mean computation
- Invalid field enum value other than populated_fields or required_fields — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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