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Event Attendance Date-by-Category Pivot
x402
Event Attendance Date-by-Category Pivot 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).
Pivots event attendance data (registrations or attendees) by date and event category, producing a cross-tabulated summary from up to 200 typed records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Event attendance - Date by category pivot: Date by category pivot 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 date by category pivot deliverable.
Output
A date-by-category pivot table showing the selected numeric field (registrations or attendees) aggregated across all supplied event types and dates, delivered as a bounded structured output with local numeric processing and data-quality checks applied.
Example use cases
Conference attendance breakdown by track
“I have daily attendance logs for a multi-track conference — rows include date, track name as event_type, registrations, and attendees. Can you pivot the attendees field by date and track category so I can see how each track performed day by day?”
Monthly event registration comparison across types
“I've got records for webinars, workshops, and networking events across October with registration and attendee numbers per day. Pivot the registrations field by date and event_type so I can see which category pulls the most sign-ups on each date.”
Festival footfall analysis by event category
“We ran a weekend festival with different event types — panels, performances, and exhibitions — logged by date with attendee counts. Can you cross-tabulate the attendees field across event types and dates so I can see the breakdown at a glance?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-pivot?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, low-cost date-by-category pivot specifically for event attendance data (registrations or attendees) with up to 200 typed records, and you want local numeric aggregation without external enrichment or forecasting. It is ideal for structured event logs that already include event_type, date, and numeric attendance fields and where a clean cross-tabulation output is the end goal.
Side effects
- Invalid date format (must match YYYY-MM-DD pattern) causes row rejection
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, event_type, date, registrations, attendees) causes request failure
- Null numeric values may be excluded or flagged depending on data-quality processing
- Invalid field enum value (not 'registrations' or 'attendees') causes a schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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