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Business Event Participation — Trailing Mean Series + Explicit Missing-Value Fill
x402
Business Event Participation — Trailing Mean Series + Explicit Missing-Value Fill 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 moving mean series and fills missing values for business event participation data (attendee_count, company_count) over up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Business event participation — Trailing mean series + Explicit missing-value fill: Trailing mean series + Explicit missing-value fill 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: a trailing mean series showing the rolling average over the specified window for the target field (attendee_count or company_count), and a version of the dataset with explicit missing values filled using the chosen method (zero, mean, or median). Both reports operate on the same supplied rows of up to 200 records.
Example use cases
Conference attendance trend smoothing
“I have 100 rows of weekly conference attendance data with attendee_count and company_count per company group. Can you apply a trailing mean with a window of 4 and fill any missing attendee_count values using zero so I can see the smoothed trend?”
Missing company count imputation for trade show data
“My trade show participation dataset has some null company_count values. Please run a trailing mean series with window size 5 and fill those missing company_count entries using the mean method across my 80 rows of event records.”
Quarterly event participation analysis by group
“I need two analytical reports on our quarterly business event participation records — 150 rows grouped by company — compute the trailing mean over a window of 6 for attendee_count and use median to fill any gaps.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-19-154?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a rolling/trailing mean time series AND explicit missing-value imputation on business event participation data (attendee_count or company_count) in a single low-cost call. It is purpose-built for event participation metrics with grouped company data, produces two reports at once, and requires no external data — ideal for offline analytical pipelines processing batches of up to 200 rows.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Window size outside range 2–200 — validation error
- Unknown fill method or field enum value — validation error
- Missing required fields (row_id, company_group, date) in any row — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string | |
| window | integer |
Tags
x402
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