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Tourism Observations — Two-Measure Correlation + Explicit Missing-Value Fill
x402
Tourism Observations — Two-Measure Correlation + 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 2026-10-26).
Computes Pearson/rank correlation between visitor_count and overnight_stays, and fills missing values in a chosen field using zero, mean, or median imputation — for up to 200 tourism observation rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tourism observations — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill 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
Two independent analytical reports: (1) a correlation report showing the statistical relationship (e.g. Pearson r) between visitor_count and overnight_stays across the supplied rows; (2) a missing-value fill report showing which rows had nulls in the chosen field and what values were substituted using the selected method (zero, mean, or median). No external data is fetched; all computation is performed locally on the supplied rows.
Example use cases
Regional tourism KPI correlation analysis
“I've got daily tourism records for 12 regions over the past quarter — each row has visitor_count and overnight_stays. Can you compute the correlation between those two measures across all 180 rows?”
Missing visitor count imputation for reporting
“My tourism dataset has about 200 rows but visitor_count is null for maybe 20 of them. Can you fill in those missing visitor_count values using the mean of the existing ones and also show me how visitor_count correlates with overnight_stays?”
Zero-fill overnight stays for data pipeline
“I need to prep my tourism observations for a downstream pipeline — replace any null overnight_stays values with zero, and while you're at it give me the correlation between overnight_stays and visitor_count across the dataset.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-14-184?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a small-to-medium tourism dataset (up to 200 rows) with visitor_count and overnight_stays fields and need both a correlation analysis and missing-value imputation in a single API call. Ideal for lightweight, offline analytical pipelines that don't require real-time lookups, forecasting, or external data enrichment. Prefer this over general statistics APIs when you specifically work with tourism observation records and want bundled reports at low cost ($0.01 per call covers both reports).
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — rejected with maxItems error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unknown imputation method enum value — rejected
- Insufficient non-null values for mean/median computation — may return degenerate or error result
- Both measures entirely null — correlation computation undefined
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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