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Business Event Participation — Trailing Mean Series + Keyed Dataset Comparison
x402
Business Event Participation — Trailing Mean Series + Keyed Dataset Comparison 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 trailing mean time series and keyed dataset comparison reports 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 + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 time series showing rolling average values of the selected field (attendee_count or company_count) over the supplied rows, and (2) a keyed dataset comparison that matches rows between the primary and comparison dataset by key to surface differences. Both reports are computed locally using shared analytical engines with no external lookups.
Example use cases
Conference attendance trend analysis
“I have monthly conference attendance records for the past year split across two company groups — can you compute a trailing mean series and compare the two datasets on attendee_count to see how participation trends differ?”
Trade show company participation benchmark
“We ran two rounds of trade shows and I want to compare company_count across both datasets using a keyed comparison and also get a trailing mean series — can you analyze both rounds for me?”
Event portfolio rolling average reporting
“I've got two sets of event participation records, each with dates, company groups, attendee counts and company counts. Please run a trailing mean and keyed dataset comparison on the company_count field so I can see where participation is growing.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured business event participation data and need both a rolling/trailing mean time series and a side-by-side keyed comparison between two datasets in a single call. Ideal for event analytics workflows where you want trend smoothing and dataset benchmarking together without building custom analytics pipelines. Best suited for up to 200 rows of date-stamped, grouped participation records.
Side effects
- Missing required fields (row_id, company_group, date, attendee_count, company_count) causes validation error
- Exceeding 200 rows per dataset returns an error
- Invalid date format (non YYYY-MM-DD) fails pattern validation
- Empty rows array rejected (minItems: 1)
- Null values in numeric fields may affect trailing mean computation
- Mismatched row keys between primary and comparison dataset may reduce keyed comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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