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Tourism Observations — Two-Measure Correlation + Date-by-Category Pivot
x402
Tourism Observations — Two-Measure Correlation + Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-28).
Computes a two-measure Pearson/rank correlation and a date-by-category pivot table for up to 200 rows of tourism observation data (visitor_count, overnight_stays).
Price / call$0.01
Success—
StatusUnknown
How this service works
Tourism observations — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot for supplied tourism observations records (visitor_count, overnight_stays). 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 statistical reports: (1) a Pearson or rank correlation coefficient between visitor_count and overnight_stays across all supplied rows, and (2) a pivot table cross-tabulating the specified field (visitor_count or overnight_stays) by date and region/category — all computed locally on the supplied data with no external lookups.
Example use cases
Seasonal visitor-stay correlation check
“I have monthly tourism data for 8 regions over the past year — can you compute the correlation between visitor_count and overnight_stays across all those rows, and also give me a pivot table showing overnight_stays broken down by date and region?”
Regional campaign impact pivot
“After our summer tourism campaign we collected visitor and overnight stay figures for 5 regions across 40 dates. Can you run a date-by-region pivot on the overnight_stays field and also tell me how strongly visitor_count correlates with overnight_stays in this dataset?”
Hotel capacity planning analysis
“I'm trying to understand whether higher visitor counts reliably translate to more overnight stays across our resort zones — here are 150 rows of observations with row IDs, dates, region names, visitor counts, and overnight stay figures. Please run the two-measure correlation and a date-by-category pivot using visitor_count as the main field.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-14-182?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured tourism observation records with visitor_count and overnight_stays columns and need both a cross-measure correlation and a date-by-category pivot in a single low-cost call. It is ideal for offline/batch analytical needs on datasets up to 200 rows where no live data lookup, prediction, or external enrichment is required. Prefer it over general-purpose analytics tools when you want a cheap, deterministic, self-contained computation on data you already hold.
Side effects
- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds maxItems limit
- Missing required fields (row_id, region, date, visitor_count, overnight_stays) on any row — validation error
- Date strings not matching YYYY-MM-DD pattern — schema validation failure
- All values for one measure are null — correlation cannot be computed
- Invalid field enum value (not visitor_count or overnight_stays) — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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