Business Event Participation — Trailing Mean Series + Two-Measure Correlation 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 two-measure Pearson/rank correlation for up to 200 business event participation records containing attendee_count and company_count fields.
Business event participation — Trailing mean series + Two-measure correlation: Trailing mean series + Two-measure correlation 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.
Returns two independent analytical reports: (1) a trailing mean time series for the selected measure (attendee_count or company_count) computed over the specified rolling window across the supplied rows, and (2) a two-measure correlation analysis between attendee_count and company_count. Both reports are derived entirely from the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-150?utm_source=zero.xyzChoose this endpoint when you have pre-collected business event participation records (up to 200 rows) with attendee_count and company_count fields and need both a rolling/trailing mean time series AND a correlation between the two measures in a single API call for a flat $0.01 USDC fee. Ideal when you want offline, supplied-data analytics without any live data lookup, external enrichment, or prediction — just pure local statistical computation on your own dataset.
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
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