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Event Attendance Daily Sum Series
x402
Event Attendance Daily Sum Series 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 a daily sum time series for event attendance data (registrations or attendees) from up to 200 supplied records, with local numeric and data-quality processing.
Price / call$0.01
Success—
StatusUnknown
How this service works
Event attendance - Daily sum series: Daily sum series 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 daily sum series deliverable.
Output
A bounded daily sum series deliverable: an aggregated, day-by-day total for the selected field (registrations or attendees), computed locally from the supplied typed records with data-quality processing applied.
Example use cases
Conference attendance trend analysis
“I've got daily event logs for our annual conference with attendee counts per event type — can you sum up the attendees by date so I can see the day-by-day attendance trend?”
Registration volume summary by day
“Here are 150 rows of event registration records spanning two weeks. Can you aggregate total registrations per day so I can see which days had the highest sign-up volume?”
Multi-track event daily rollup
“We ran a multi-track event with separate records for group-a and group-b sessions each day. Can you produce a daily sum series for attendees across all these rows so I can see the combined daily turnout?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-date-series?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured event attendance records (up to 200 rows) and need a daily aggregated sum series for either registrations or attendees, processed locally without external enrichment or forecasting. Ideal for lightweight, low-cost ($0.01 USDC) batch aggregation of event data into a time series format.
Side effects
- Fewer than 1 row supplied — minItems violation
- More than 200 rows supplied — maxItems violation
- Invalid date format (must be YYYY-MM-DD)
- Missing required fields (row_id, event_type, date, registrations, attendees)
- Numeric values outside allowed range (±1,000,000,000,000)
- Invalid field selector (must be 'registrations' or 'attendees')
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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