{"uid":"cap_JsolgNd68vJjHJt5qsNlB","slug":"tourism-observations-numeric-distribution-base-100-series-40f7c875","name":"Tourism Observations — Numeric Distribution + Base-100 Series","description":"Tourism observations — Numeric distribution + Base-100 series: Numeric distribution + Base-100 series 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-14-078?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},"field":{"enum":["visitor_count","overnight_stays"],"type":"string","default":"visitor_count"},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_eXZ-tWHb9q64lw7cOjbvn","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":"Computes numeric distribution statistics and a base-100 index series for supplied tourism records (visitor_count or overnight_stays) across up to 200 rows.","exampleAgentPrompt":"I have 4 tourism observation records across two regions — can you run a numeric distribution report and a base-100 index series on the visitor_count field, using row 0 as the base, for this data: region group-a on 2026-10-01 had 10 visitors and 1 overnight stay (row-1), group-b on 2026-10-02 had 20 visitors and 2 stays (row-2), group-a on 2026-10-03 had 15 visitors and 3 stays (row-3), and group-b on 2026-10-04 had 30 visitors and 4 stays (row-4)?","exampleUseCases":[{"title":"Regional visitor count trend indexing","prompt":"I have monthly visitor count data for 5 tourism regions over the last year — can you compute a base-100 index series starting from January (row 0) and a numeric distribution report on the visitor_count field so I can see how each region trended relative to that baseline?"},{"title":"Overnight stays distribution analysis","prompt":"Here are 80 rows of daily overnight stays records across our coastal and inland tourism zones — please run a numeric distribution report and base-100 index series on the overnight_stays field, with the base set at row index 0, so I can understand the spread and relative growth."},{"title":"Tourism seasonality comparison","prompt":"Can you analyze these 150 tourism observation rows for seasonality? I want a numeric distribution and a base-100 series on visitor_count starting from row 0 to see how peak and off-peak months compare across the different regions."}],"resultDescription":"Returns two analytical reports for the supplied tourism dataset: (1) a numeric distribution report showing statistical spread metrics for the selected field (visitor_count or overnight_stays), and (2) a base-100 index series normalizing values relative to the specified base row — both computed locally without external lookups.","failureModes":["Exceeds 200-row limit — request is rejected or truncated","Missing required row fields (row_id, region, date, visitor_count, overnight_stays) — validation error","Invalid date format (must be YYYY-MM-DD) — schema validation failure","base_index out of range for the supplied rows — error or undefined behavior","Null values in numeric fields may affect distribution and index calculations"],"whenToPreferThis":"Choose this endpoint when you have pre-collected tourism observation data (visitor counts, overnight stays) and need both a statistical distribution analysis and a base-100 normalization series in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup, prediction, or external enrichment is needed, and where cost efficiency (two reports for $0.01 USDC) matters.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:30:59.045Z","isFirstParty":false,"canonicalSlug":"tourism-observations-numeric-distribution-base-100-series-40f7c875"}