{"uid":"cap_ys3_IZE2QLKt9xUm50QP2","slug":"tourism-observations-string-normalisation-base-100-series-3909f182","name":"Tourism Observations String Normalisation & Base-100 Series","description":"Tourism observations — String normalisation + Base-100 series: String normalisation + 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-14-030?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_GX-nzsF--kvSphLilCKKG","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":"Applies string normalisation and base-100 indexing to supplied tourism observation records (visitor_count or overnight_stays) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"Take my tourism observation records for regions group-a and group-b from October 2026 — with visitor_count and overnight_stays columns — and run string normalisation plus a base-100 series on the visitor_count field, using row 0 as the base index. I have 4 rows total.","exampleUseCases":[{"title":"Regional visitor count indexing","prompt":"I have monthly visitor count data for 5 tourism regions across 2024 — can you normalise the region name strings and build a base-100 index series for visitor_count, anchoring to the first row?"},{"title":"Overnight stays trend analysis","prompt":"Run string normalisation and a base-100 series on my overnight_stays data for these 50 tourism records across different regions and dates — use overnight_stays as the field and start the base at index 0."},{"title":"Tourism dashboard data preparation","prompt":"I need to clean up my tourism dataset before building a dashboard — can you normalise the region strings and produce a base-100 series for visitor_count across these 120 rows of observations?"}],"resultDescription":"Returns two analytical reports: (1) string-normalised versions of the supplied tourism record fields, and (2) a base-100 indexed series for the selected numeric field (visitor_count or overnight_stays), computed locally without any external lookups or predictions. Both reports cover up to 200 input rows.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, region, date, visitor_count, overnight_stays) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","base_index out of range (must be 0–199 and within row count) — index error","Invalid field enum value (must be visitor_count or overnight_stays) — schema rejection","Payment not included or insufficient USDC — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have structured tourism observation data (visitor counts or overnight stays) that needs both string normalisation and base-100 indexing in a single call, for up to 200 rows, without requiring live data lookups or external enrichment. It is cost-effective at $0.01 USDC for two reports in one call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:46.375Z","isFirstParty":false,"canonicalSlug":"tourism-observations-string-normalisation-base-100-series-3909f182"}