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Registry Snapshots IQR Outlier Flags and Secondary-Measure Weighted Mean
x402
Registry Snapshots IQR Outlier Flags and 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 2026-10-23).
Analyzes registry snapshot rows for IQR-based outlier detection and computes a secondary-measure weighted mean, returning two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Registry snapshots — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied registry snapshots records (registered_entities, changed_entities). 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 independent analytical reports: (1) IQR outlier flags indicating which rows have values outside the interquartile range for the selected field, and (2) a secondary-measure weighted mean computed across the supplied rows. Results are based entirely on the supplied data with no external lookups.
Example use cases
Monthly registry audit for anomaly detection
“I've got monthly registry snapshots for 3 company groups from Q1, each row has a date, company_group, registered_entities, and changed_entities. Can you flag which rows are IQR outliers and give me the weighted mean on the registered_entities field?”
Changed entities outlier check before reporting
“Before I finalize my quarterly report, I need to check these 80 registry snapshot rows for statistical outliers in changed_entities using IQR, and also get the weighted mean — can you run both reports?”
Cross-group registration trend quality check
“We have registry snapshots across 5 company groups over 6 months. Flag any outliers in the registered_entities numbers using IQR, and compute the secondary-measure weighted mean so I can see if any group is skewing the data.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-04-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have registry snapshot data (registered entities, changed entities) organized by company group and date, and need both IQR-based outlier flagging and a weighted mean in a single low-cost call. Ideal for data quality checks before reporting, anomaly detection in registration trends, and batch statistical analysis of up to 200 rows without needing an external data connection or live lookup.
Side effects
- More than 200 rows submitted — request rejected due to row limit
- Missing required fields (row_id, company_group, date, registered_entities, changed_entities) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside allowed range (-1T to 1T) cause validation errors
- Insufficient data variance may produce trivial or degenerate IQR results
- All-null values for the selected field may prevent meaningful computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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