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Tourism Observations — String Normalisation + Two-Measure Correlation
x402
Tourism Observations — String Normalisation + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).
Normalises region/date strings and computes Pearson correlation between visitor_count and overnight_stays across up to 200 tourism observation rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Tourism observations — String normalisation + Two-measure correlation: String normalisation + Two-measure correlation 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 independent analytical reports: (1) a string normalisation report covering the region and date fields across all submitted rows, and (2) a two-measure correlation report quantifying the statistical relationship (e.g. Pearson correlation) between visitor_count and overnight_stays across the dataset. No external lookups or predictions are made; all computation is local.
Example use cases
Regional tourism correlation analysis
“I've got 150 rows of tourism data with columns region, date, visitor_count, and overnight_stays — can you normalise the string fields and tell me how strongly visitor count correlates with overnight stays across all those rows?”
Data quality check on tourism records
“We collected tourism observations from 80 locations with messy region names and date formats — can you normalise those strings and run a correlation report between visitor count and overnight stays so I can see if the cleaned data makes sense?”
Monthly hospitality trend correlation
“Here are 200 rows of monthly hotel district data with visitor_count and overnight_stays figures — please normalise the region and date strings and give me two reports: one on string normalisation and one on the correlation between those two measures.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-economics-14-033?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tourism observation data with string fields (region names, dates) that need normalisation AND you want a correlation analysis between visitor_count and overnight_stays in a single paid call. It is especially useful when you need both a data-quality string report and a statistical relationship report simultaneously for up to 200 rows, without involving any external data sources or predictions.
Side effects
- Submission of more than 200 rows returns a validation error
- Missing required fields (row_id, region, date, visitor_count, overnight_stays) causes row-level rejection
- Malformed date strings not matching YYYY-MM-DD pattern are flagged or rejected
- All-null values for visitor_count or overnight_stays may cause correlation computation to fail
- Payment of less than 0.01 USDC results in a 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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