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Business Event Participation — Trailing Mean Series + Secondary-Measure Weighted Mean
x402
Business Event Participation — Trailing Mean Series + Secondary-Measure Weighted Mean 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 a trailing mean time series and a secondary-measure weighted mean for business event participation data (attendee_count, company_count) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Trailing mean series + Secondary-measure weighted mean: Trailing mean series + Secondary-measure weighted mean 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 analytical reports: (1) a trailing mean time series for the selected field (attendee_count or company_count) using the specified rolling window, and (2) a secondary-measure weighted mean computed across the supplied rows — both generated locally without external lookups, for up to 200 input rows.
Example use cases
Conference attendance trend smoothing
“I have monthly conference attendance records for 6 company groups over the past year — can you run a trailing mean series with a window of 4 on the attendee_count field and also give me the company_count weighted mean? Here are the rows: [row-1, group-a, 2025-01-01, 120, 5], [row-2, group-b, 2025-02-01, 95, 3], [row-3, group-a, 2025-03-01, 140, 7]...”
Trade show participation analysis
“We ran 10 trade shows this year and I want to understand participation patterns — please compute the trailing mean series with window size 3 on attendee_count and the secondary weighted mean on company_count for these 10 event records I'll provide.”
Event pipeline performance review
“Can you analyze our quarterly business event participation data for the last 8 quarters? I need the trailing mean (window of 2) for attendee_count and a company_count weighted mean — here are the rows with row_id, company_group, date, attendee_count, and company_count fields.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-151?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series and a weighted mean for business event participation data (attendee and company counts) in a single API call at low cost ($0.01 USDC for both reports). It is ideal for offline analytical computation on supplied data without needing live data lookups, predictions, or external integrations. Best suited for datasets up to 200 rows grouped by company and date.
Side effects
- Missing required fields (row_id, company_group, date, attendee_count, company_count) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error or truncated result
- Window size outside 2–200 range is rejected
- Null numeric values may affect weighted mean computation
- Payment failure results in 402 response with no computation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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