{"uid":"cap_AJNaDth3uRwC1Uc-DQ8fF","slug":"tourism-observations-string-normalisation-two-measure-correlation-7375f878","name":"Tourism Observations — String Normalisation + Two-Measure Correlation","description":"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.","url":"https://market.datapackvibe.com/x402/assistant-ib26-economics-14-033?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","region","date","visitor_count","overnight_stays"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"region":{"type":"string","default":"","maxLength":80},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"visitor_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"overnight_stays":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","region":"group-a","row_id":"row-1","visitor_count":10,"overnight_stays":1},{"date":"2026-10-02","region":"group-b","row_id":"row-2","visitor_count":20,"overnight_stays":2},{"date":"2026-10-03","region":"group-a","row_id":"row-3","visitor_count":15,"overnight_stays":3},{"date":"2026-10-04","region":"group-b","row_id":"row-4","visitor_count":30,"overnight_stays":4}],"maxItems":200,"minItems":1}}},"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_BB49LxqdMZPcPDS3nf0FX","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"I have 4 tourism observation rows — row-1 through row-4 for regions group-a and group-b, dated 2026-10-01 to 2026-10-04, with visitor counts of 10, 20, 15, 30 and overnight stays of 1, 2, 3, 4 — can you normalise the region and date strings and compute the correlation between visitor count and overnight stays across those rows?","exampleUseCases":[{"title":"Regional tourism correlation analysis","prompt":"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?"},{"title":"Data quality check on tourism records","prompt":"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?"},{"title":"Monthly hospitality trend correlation","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T00:35:23.992Z","isFirstParty":false,"canonicalSlug":"tourism-observations-string-normalisation-two-measure-correlation-7375f878"}