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Business Event Participation – Trailing Mean Series & Date-by-Category Pivot
x402
Business Event Participation – Trailing Mean Series & 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 2026-10-20).
Computes a trailing mean time series and a date-by-category pivot table for supplied business event participation data (attendee_count, company_count) in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Trailing mean series + Date by category pivot: Trailing mean series + Date by category pivot 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 trailing mean series showing the rolling average of the selected metric (attendee_count or company_count) over the specified window, and (2) a date-by-category pivot table grouping values by date and company_group — both computed locally from the supplied row data, with no external lookups.
Example use cases
Smoothing conference attendance trends
“I have records from our quarterly conference series — each row has a date, company group, attendee count, and company count. Can you compute a trailing mean with a window of 4 on attendee_count and also give me a pivot of attendance by date and company group?”
Comparing company participation across event segments
“Here are 80 rows of our trade show participation data with dates, company groups, attendee counts, and company counts — run a trailing mean (window of 5) and a date-by-category pivot on the company_count field so I can see how different segments trend over time.”
Executive report prep for event analytics
“I need two quick analytics reports on our event participation dataset — a rolling 3-period mean series and a date-by-company-group pivot table, both using the attendee_count column. I have about 120 rows ready to send.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-152?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of structured business event participation records and need both a trailing moving average time series and a date-by-category pivot in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical summaries where no live data lookup, prediction, or external enrichment is required — just fast local computation on data you already have.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Date fields not matching YYYY-MM-DD pattern — validation error
- Window size outside the range 2–200 — rejected
- Numeric fields outside ±1,000,000,000,000 — rejected
- Missing required row fields (row_id, company_group, date, attendee_count, company_count) — schema validation failure
- Invalid field enum value (not attendee_count or company_count) — error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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