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Business Event Participation — IQR Outlier Flags + Secondary-Measure Weighted Mean
x402
Business Event Participation — 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 2026-10-16).
Analyzes business event participation records (attendee_count, company_count) to flag IQR-based outliers and compute a secondary-measure weighted mean, producing two analytical reports per call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — IQR outlier flags + Secondary-measure weighted mean: IQR outlier flags + Secondary-measure weighted mean for supplied business event participation records (attendee_count, company_count). 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: (1) per-row IQR outlier flags indicating which records fall outside the interquartile range for the specified field, and (2) a secondary-measure weighted mean computed across the supplied business event participation rows. Results are derived entirely from the supplied data with no external lookups.
Example use cases
Outlier detection in conference attendance
“I've got a batch of 50 event records tracking attendee_count and company_count by company group and date — can you flag which rows are IQR outliers and also give me the weighted mean for attendee_count?”
Data quality check on trade show data
“We collected participation data from several trade shows with row IDs, dates, company groups, attendee counts, and company counts. Run IQR outlier flags and the secondary-measure weighted mean on company_count so I can spot anomalies before reporting.”
Event analytics for multi-group participation
“I have business event records for group-a and group-b spanning multiple dates in October 2026, with attendee and company counts — please run both the IQR outlier detection and the weighted mean analysis on attendee_count for all rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-177?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular business event participation data (up to 200 rows) and need both IQR-based outlier detection and a secondary-measure weighted mean in a single call. It is ideal for data quality checks, anomaly detection in event attendance, and descriptive statistical summaries without needing external data sources, live lookups, or prediction capabilities.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in the selected field may affect outlier and mean calculations
- Fewer than 4 rows may produce unreliable IQR statistics
- Payment of 0.01 USDC not completed — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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