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Local Event Calendars — String Normalisation & Missing-Value Fill
x402
Local Event Calendars — String Normalisation & 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 2026-10-23).
Normalises strings and fills missing values in local event calendar records (listed_events, updated_events) for up to 200 rows, producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Local event calendars — String normalisation + Explicit missing-value fill: String normalisation + 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 (one for listed_events, one for updated_events) covering string-normalised and missing-value-filled versions of the supplied event calendar rows, up to 200 rows total. No live data is fetched; all processing is local to the supplied records.
Example use cases
Fill missing event listing counts
“I've got a local event calendar dataset with some null values in the listed_events column — can you fill those blanks using the median of the existing values and give me a report? Here are my rows: row-1 2026-10-01 group-a listed=10 updated=1, row-2 2026-10-02 group-b listed=null updated=2, row-3 2026-10-03 group-a listed=15 updated=3.”
Normalise strings for channel group import
“Before I import this event calendar data, can you run string normalisation and flag any missing values in the updated_events field using zero-fill? I have rows: row-1 2026-10-01 group-a listed=10 updated=1, row-2 2026-10-02 group-b listed=20 updated=null, row-3 2026-10-03 group-a listed=15 updated=3.”
Data quality report for event calendar pipeline
“Can you produce a data-quality report on these local event calendar records — normalise the strings, fill missing updated_events using mean imputation, and give me two reports covering both listed and updated counts? Rows: row-1 2026-10-01 group-a listed=10 updated=1, row-2 2026-10-02 group-b listed=20 updated=2, row-3 2026-10-03 group-a listed=null updated=null, row-4 2026-10-04 group-b listed=30 updated=4.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-19-037?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have local event calendar tabular data (listed_events and updated_events columns) that needs string normalisation and/or missing-value imputation with no external data lookups. It is particularly suited for pre-import data cleaning pipelines where you want two simultaneous reports on both event count fields at very low cost ($0.01 for up to 200 rows). Prefer alternatives if you need live event data retrieval, prediction, or more than 200 rows per call.
Side effects
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — row fails schema validation
- Missing required fields (row_id) — row rejected
- Numeric values outside allowed range (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 item required
- Invalid method enum value (not zero/mean/median) — bad request
- Invalid field enum value (not listed_events/updated_events) — bad request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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