{"uid":"cap_9xpKzxWdEyK_QilbMuZr6","slug":"wind-observations-numeric-distribution-missing-value-fill-ad7ef8c5","name":"Wind Observations – Numeric Distribution & Missing-Value Fill","description":"Wind observations — Numeric distribution + Explicit missing-value fill: Numeric distribution + Explicit missing-value fill 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-03-085?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_Ev56PWWtbrlI4A0Ri0w9w","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 fills missing values (null) for wind_speed_ms and gust_speed_ms fields across up to 200 wind observation rows.","exampleAgentPrompt":"I have up to 200 wind observation rows with some null wind_speed_ms and gust_speed_ms readings — can you compute the numeric distribution for wind_speed_ms and fill in all the missing values using the median method?","exampleUseCases":[{"title":"Clean wind sensor dataset for analysis","prompt":"I've got a batch of 150 wind station readings and some of the gust_speed_ms values are null. Can you fill in those missing gust speeds using the mean and also give me the distribution stats for the gust_speed_ms field?"},{"title":"Station group wind speed audit","prompt":"Here are 80 daily wind observations from two station groups — can you run a numeric distribution report on wind_speed_ms and replace any missing wind speed readings with zero so I can spot outliers?"},{"title":"Prepare weather data for model ingestion","prompt":"Before I feed this wind dataset into my model, I need the distribution of wind_speed_ms across all 200 rows and any nulls filled using the median — can you handle both in one go?"}],"resultDescription":"Returns two analytical reports for the specified wind field (wind_speed_ms or gust_speed_ms): (1) a numeric distribution report covering statistics such as min, max, mean, median, and spread across up to 200 rows; (2) a missing-value fill report showing which rows had null values and what replacement values were applied using the selected method (zero, mean, or median).","failureModes":["Exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes schema rejection","Unknown fill method value outside zero/mean/median is rejected","Empty rows array causes a minItems validation failure","Extremely large or small numeric values near the ±1e12 boundary may cause precision issues"],"whenToPreferThis":"Choose this endpoint when you need to both characterize the distribution of wind speed or gust speed measurements and impute missing values in a single API call, without needing live weather lookups, forecasts, or external data. It is ideal for pre-processing historical or collected wind observation datasets before downstream analysis or model ingestion, and cost-effectively handles up to 200 rows for $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:41:07.060Z","isFirstParty":false,"canonicalSlug":"wind-observations-numeric-distribution-missing-value-fill-ad7ef8c5"}