{"uid":"cap_osTzk5OBvM6jShxa3hwwj","slug":"wind-observations-exact-row-deduplication-trailing-mean-series-b22d86ed","name":"Wind Observations — Exact Row Deduplication + Trailing Mean Series","description":"Wind observations — Exact row deduplication + Trailing mean series: Exact row deduplication + Trailing mean series 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-03-045?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_nU_MAcYTnV5DeXU_MO9QO","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 exact rows and computes a trailing mean series for supplied wind observation records (wind_speed_ms or gust_speed_ms) across up to 200 rows.","exampleAgentPrompt":"I have 50 wind observation rows with station_group, date, wind_speed_ms, and gust_speed_ms — can you deduplicate exact duplicate rows and compute a trailing mean series for wind_speed_ms using a window of 5?","exampleUseCases":[{"title":"Clean weather station data pipeline","prompt":"I have 120 daily wind readings from multiple station groups and I suspect there are duplicate entries — can you remove exact duplicate rows and give me a trailing mean for wind_speed_ms with a window of 7?"},{"title":"Rolling gust speed trend analysis","prompt":"Take these 80 wind observation records and compute a trailing mean series for gust_speed_ms with a window of 10, and also flag any exact duplicate rows."},{"title":"Data quality audit for wind sensors","prompt":"I need to audit this wind sensor dataset of 40 rows — deduplicate exact matches and show me the rolling mean for wind_speed_ms with a window of 3 so I can spot anomalies."}],"resultDescription":"Returns two reports for the supplied wind observation data: (1) an exact row deduplication report identifying and removing duplicate records, and (2) a trailing mean series computed over the specified window for the chosen field (wind_speed_ms or gust_speed_ms), grouped by station and date order.","failureModes":["Fewer than 1 row supplied — rejected by minItems validation","More than 200 rows supplied — rejected by maxItems limit","Window size larger than number of rows — trailing mean may produce nulls or partial results","Invalid date format (not YYYY-MM-DD) — schema pattern validation error","Missing required fields (row_id, station_group, date, wind_speed_ms, gust_speed_ms) — request rejected","Non-numeric values in wind_speed_ms or gust_speed_ms — type validation failure","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 wind observation records that need both exact duplicate removal and a rolling mean time series computed locally — without any live data lookup, external forecasting, or prediction. Ideal for data cleaning and trend smoothing pipelines on historical or ingested wind sensor data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:40.014Z","isFirstParty":false,"canonicalSlug":"wind-observations-exact-row-deduplication-trailing-mean-series-b22d86ed"}