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Business Event Participation — Daily Sum Series + Trailing Mean Series
x402
Business Event Participation — Daily Sum Series + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Computes daily sum series and trailing moving-average series for business event participation data (attendee_count or company_count) across up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Daily sum series + Trailing mean series: Daily sum series + Trailing mean series 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: (1) a daily sum series aggregating the selected metric (attendee_count or company_count) by date, and (2) a trailing mean series computed over the specified window size — both derived from the supplied business event participation rows without any external data lookup.
Example use cases
Conference attendance trend smoothing
“I have daily attendance data from our industry conference across 50 rows — each with a date, row_id, company_group, attendee_count, and company_count. Can you compute the daily sum series and a trailing mean series with a window of 7 for attendee_count so I can see smoothed attendance trends?”
Company participation rolling analysis
“Here are 120 rows of business event records with dates and company_count values — can you run both a daily sum series and a trailing mean series using a window of 5 on company_count to understand how many unique companies participated each day on a rolling basis?”
Multi-group event data aggregation
“I've got participation data from multiple company groups attending a series of events over 30 days — about 80 rows total with attendee_count and company_count. Please generate the daily sum series and trailing mean series (window of 3) for attendee_count so I can spot day-over-day patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-136?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected business event participation data (up to 200 rows) and need two time-series reports — a daily sum and a trailing moving average — computed locally without any external lookups. It is ideal for batch offline analytics on attendee or company counts when you want both aggregation and smoothing in a single low-cost ($0.01 USDC) call. Prefer alternatives if you need live event data, predictions, more than 200 rows, or a different analytical operation such as correlation, histogram, or grouped summary.
Side effects
- Input rows exceed 200 item limit — request rejected
- Missing required fields (row_id, company_group, date, attendee_count, company_count) on any row — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema validation failure
- Window size outside 2–200 range — parameter validation error
- Field value not in enum ['attendee_count', 'company_count'] — rejected
- Empty rows array — minimum 1 item required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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