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Event Attendance Category Frequencies
x402
Event Attendance Category Frequencies 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).
Computes frequency counts for each event type category across a batch of event attendance records
Price / call$0.01
Success—
StatusUnknown
How this service works
Event attendance - Category frequencies: Category frequencies for Event attendance. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded category frequencies deliverable.
Output
Returns frequency counts for each distinct event_type category found in the submitted records, indicating how many rows belong to each category. Output is a bounded deliverable reflecting local numeric aggregation with no external enrichment.
Example use cases
Event type popularity breakdown
“I have a list of 50 event attendance records with types like 'webinar', 'conference', and 'workshop' — can you count how many times each category appears so I know which format is most popular?”
Monthly event category audit
“Here are our October attendance logs with event types and registration numbers — tally up the category frequencies so I can see which event types we ran most often this month.”
Conference vs workshop frequency check
“I've got 30 rows of event data from Q3, each tagged as either 'in-person', 'virtual', or 'hybrid' — can you give me the frequency count for each category across all those records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-category-counts?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost ($0.01 USDC) frequency count of event type categories from a small batch of attendance records (up to 200 rows) and require only local numeric computation without external enrichment or forecasting. It is ideal for quick categorical summaries of event logs where simplicity and cost-efficiency matter.
Side effects
- Empty or missing rows array returns validation error
- More than 200 rows submitted exceeds maxItems limit
- Missing required fields (row_id, event_type, date, registrations, attendees) causes record rejection
- Malformed date format (not YYYY-MM-DD) triggers pattern validation failure
- Non-numeric values for attendees or registrations cause type errors
- Payment not included or insufficient USDC results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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