{"uid":"cap_9Ey8Jnqe7bvfeZ9ZfrJ9p","slug":"wind-observations-exact-row-deduplication-iqr-outlier-flags-17da8278","name":"Wind Observations — Exact Row Deduplication + IQR Outlier Flags","description":"Wind observations — Exact row deduplication + IQR outlier flags: Exact row deduplication + IQR outlier flags for supplied wind observations records (wind_speed_ms, gust_speed_ms). 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-weather-03-049?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","wind_speed_ms","gust_speed_ms"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"gust_speed_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"wind_speed_ms":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","gust_speed_ms":1,"station_group":"group-a","wind_speed_ms":10},{"date":"2026-10-02","row_id":"row-2","gust_speed_ms":2,"station_group":"group-b","wind_speed_ms":20},{"date":"2026-10-03","row_id":"row-3","gust_speed_ms":3,"station_group":"group-a","wind_speed_ms":15},{"date":"2026-10-04","row_id":"row-4","gust_speed_ms":4,"station_group":"group-b","wind_speed_ms":30}],"maxItems":200,"minItems":1},"field":{"enum":["wind_speed_ms","gust_speed_ms"],"type":"string","default":"wind_speed_ms"}}},"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__UxFDAzL16_tWY1DT8V2r","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":"Deduplicates wind observation records and flags statistical outliers using IQR analysis on wind_speed_ms or gust_speed_ms fields, returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have up to 200 wind observation rows with fields row_id, station_group, date, wind_speed_ms, and gust_speed_ms — can you run exact row deduplication and IQR outlier flagging on the wind_speed_ms field and give me both reports?","exampleUseCases":[{"title":"Weather station data audit","prompt":"I've got a batch of wind readings from multiple station groups with dates, wind speeds, and gust speeds — can you check the wind_speed_ms column for exact duplicate rows and IQR-based outliers and give me the full dedup and outlier report?"},{"title":"Gust speed anomaly detection","prompt":"Here are 150 wind observation records from our coastal monitoring network. Can you run IQR outlier flagging on the gust_speed_ms field and also deduplicate any repeated rows, then show me both reports?"},{"title":"Pre-analysis data cleaning pipeline","prompt":"Before I feed these 80 wind observation rows into my forecast model, can you deduplicate them exactly and flag any IQR outliers in wind_speed_ms so I can remove bad data first?"}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying any fully duplicated records across all fields, and (2) an IQR outlier flagging report marking rows where the selected wind field (wind_speed_ms or gust_speed_ms) falls outside the interquartile range bounds. Both reports are generated locally with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required fields (row_id, station_group, date, wind_speed_ms, gust_speed_ms) — validation error","Invalid date format not matching YYYY-MM-DD pattern — schema error","Invalid field enum value (not wind_speed_ms or gust_speed_ms) — rejected","Empty rows array (minItems: 1 violated) — error response","Payment not included or insufficient USDC — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you need both exact duplicate detection and IQR-based statistical outlier flagging on wind observation records (wind_speed_ms or gust_speed_ms) in a single call. It is purpose-built for meteorological sensor data with station_group and date dimensions, processes up to 200 rows offline without external lookups, and delivers two reports for $0.01 USDC. Prefer it over generic data-cleaning tools when your data specifically follows the wind observation schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:10:28.742Z","isFirstParty":false,"canonicalSlug":"wind-observations-exact-row-deduplication-iqr-outlier-flags-17da8278"}