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Event Attendance Adjacent Row Changes
x402
Event Attendance Adjacent Row Changes 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 row-over-row (adjacent period) changes for event attendance or registration data across up to 200 typed records
Price / call$0.01
Success—
StatusUnknown
How this service works
Event attendance - Adjacent row changes: Adjacent row changes 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 adjacent row changes deliverable.
Output
Returns row-by-row (adjacent period) numeric change values for the selected field (registrations or attendees) across the supplied event records, including data-quality indicators, computed locally without external enrichment
Example use cases
Daily event registration trend tracking
“I have daily registration counts for our conference across 5 days — day1 through day5 with counts 50, 75, 60, 90, and 120 — can you calculate the adjacent row changes for registrations so I can see how signups shifted each day?”
Multi-track attendee comparison
“We ran two event tracks, track-A and track-B, over 3 days with attendee counts 200, 180, 220 and 150, 170, 190 respectively — compute the row-over-row attendee changes so we can spot where each track gained or lost attendance.”
Post-event registration drop-off analysis
“Our webinar had registration counts of 500, 480, 430, 390, and 350 over five consecutive days leading up to the event date — show me the adjacent row changes in registrations so I can see where drop-off was steepest.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-sector-analytics-event-attendance-period-change?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, local computation of adjacent (sequential) row-over-row changes in event attendance or registration figures without requiring external data enrichment or forecasting — ideal for structured tabular data up to 200 records where period deltas are the primary analytical output
Side effects
- Fewer than 1 row supplied returns an error
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Missing required fields (row_id, event_type, date, registrations, attendees) causes rejection
- Null numeric values may affect delta computation for affected rows
- Invalid field enum value (not 'registrations' or 'attendees') returns validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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