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Local Event Calendars — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill
x402
Local Event Calendars — Secondary-Measure Weighted Mean + 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 2026-11-02).
Computes a secondary-measure weighted mean and fills missing values for local event calendar data (listed_events, updated_events) across up to 200 rows, returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Local event calendars — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied local event calendars records (listed_events, updated_events). 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
Two independent analytical reports per call: (1) a secondary-measure weighted mean computed over the supplied listed_events or updated_events column, and (2) an explicit missing-value fill result applying the chosen method (zero, mean, or median) to null entries — both derived from the up to 200 submitted row records, with no external data lookup.
Example use cases
Event listing trend aggregation
“I have 150 rows of local event calendar data with dates, channel groups, listed_events counts, and some nulls. Can you compute the weighted mean for listed_events and fill the missing values using zero fill so I can compare group-a and group-b performance?”
Updated events null imputation for reporting
“My event calendar dataset has gaps in updated_events for several dates in Q4 2026. Can you run the secondary-measure weighted mean plus explicit missing-value fill using median imputation on updated_events and give me the two reports?”
Multi-channel calendar analytics
“I've got event calendar records across multiple channel groups for October 2026 — about 80 rows total — can you run the weighted mean aggregation on listed_events with mean-based missing-value fill and return both analytical reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-19-187?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have local event calendar tabular data (listed_events, updated_events) that needs statistical summarization via weighted mean and missing-value imputation in a single batch call. It is ideal for offline or pre-collected datasets of up to 200 rows where you need two reports simultaneously without any live data lookup, prediction, or external enrichment. Prefer alternatives if you need real-time event feeds, geographic event search, or more than 200 rows processed.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Missing required fields (row_id, channel_group, date) — validation failure
- Field enum value not in ['listed_events','updated_events'] — rejected
- Method enum not in ['zero','mean','median'] — rejected
- All values null with zero-fill method — degenerate output
- Payment not completed — 402 response, no report returned
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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