{"uid":"cap_bAA4g7rLGf9OBH7EVjtWU","slug":"tourism-observations-record-quality-audit-numeric-row-ordering-fe7efa9c","name":"Tourism Observations — Record Quality Audit + Numeric Row Ordering","description":"Tourism observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-14-007?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"}}},"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_Y6kTWrPJtXQ9kGNjLqFz9","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":"Audits tourism observation records for data quality issues and sorts rows numerically for visitor_count or overnight_stays, returning 2 independent analytical reports for up to 200 rows.","exampleAgentPrompt":"Can you audit these tourism observation rows for data quality issues and also sort them by visitor_count? I have 4 rows: row-1 for group-a on 2026-10-01 with visitor_count 10 and overnight_stays 1, row-2 for group-b on 2026-10-02 with visitor_count 20 and overnight_stays 2, row-3 for group-a on 2026-10-03 with visitor_count 15 and overnight_stays 3, and row-4 for group-b on 2026-10-04 with visitor_count 30 and overnight_stays 4.","exampleUseCases":[{"title":"Pre-analysis data quality check","prompt":"I have 50 tourism observation records from various regions with visitor counts and overnight stays — can you run a quality audit on them to flag any nulls, out-of-range values, or bad rows, and also rank them by visitor_count so I can see the highest-traffic regions first?"},{"title":"Overnight stays ranking for regional report","prompt":"Can you take my regional tourism dataset of 120 rows and sort them by overnight_stays so I can identify which regions had the longest visitor durations? Also run a quality audit to catch any data issues before I include this in my report."},{"title":"Cleaning noisy event attendance data","prompt":"We collected visitor_count and overnight_stays for 80 tourism sites across dates in 2026 but the data might have some bad entries — can you audit the records for quality problems and order them numerically by visitor_count so we know which rows are suspect and which sites performed best?"}],"resultDescription":"Returns 2 independent reports: (1) a record quality audit identifying issues such as missing values, nulls, out-of-range numbers, or malformed dates across the submitted rows; and (2) a numeric row ordering report ranking the submitted rows by the selected field (visitor_count or overnight_stays). Both reports are generated locally without external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, region, date, visitor_count, overnight_stays) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Empty rows array is not accepted (minItems: 1)","Invalid field enum value (anything other than visitor_count or overnight_stays) fails"],"whenToPreferThis":"Choose this endpoint when you have tourism-domain tabular data with visitor_count and overnight_stays fields and need both a data quality audit and a numeric sort/ranking in a single call. It is purpose-built for tourism observation schemas (region, date, visitor metrics) and bundles two analytical passes for $0.01 USDC. Prefer it over general-purpose data tools when your dataset is under 200 rows and you need quick offline validation without any external lookup or prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T12:31:25.606Z","isFirstParty":false,"canonicalSlug":"tourism-observations-record-quality-audit-numeric-row-ordering-fe7efa9c"}