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Business Event Participation — Category Frequencies + IQR Outlier Flags
x402
Business Event Participation — Category Frequencies + 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 2026-10-16).
Computes category frequency distributions and IQR-based outlier flags for business event participation data (attendee_count and company_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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
Returns two independent analytical reports for the supplied dataset: (1) category frequency counts broken down by the categorical fields (e.g., company_group), and (2) IQR-based outlier flags identifying which rows have statistically anomalous values in the selected numeric field (attendee_count or company_count). No external data is fetched; all analysis is performed locally on the submitted rows.
Example use cases
Conference attendance anomaly detection
“I have a dataset of 50 business event rows with attendee counts and company group labels — can you compute the category frequencies and flag any IQR outliers in the attendee_count field so I can spot unusual events?”
Company participation distribution report
“Here are 120 rows of our trade show participation records with company_group and company_count columns — run a category frequency analysis and IQR outlier detection on the company_count field for me.”
Event data quality audit
“Before I present our quarterly event report, can you check these 80 rows of business event participation data and tell me the category frequencies and which rows are IQR outliers for attendee_count?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-107?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of business event participation data and need both a categorical frequency summary and IQR-based outlier detection in a single low-cost call ($0.01 USDC for both reports). Ideal for lightweight, offline statistical QA on structured event records without needing a full analytics platform or external data enrichment.
Side effects
- Input array is empty or exceeds 200 rows — validation error returned
- Required fields (row_id, company_group, date, attendee_count, company_count) missing from one or more rows — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- All values in numeric field are null — IQR computation may return empty or undefined outlier flags
- Field selector value not in allowed enum — rejected with schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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