{"uid":"cap_NjkfBd-pFlm6fZMMqG1Zi","slug":"wind-observations-exact-row-deduplication-adjacent-row-changes-ba3731e8","name":"Wind Observations — Exact Row Deduplication + Adjacent Row Changes","description":"Wind observations — Exact row deduplication + Adjacent row changes: Exact row deduplication + Adjacent row changes 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-03-046?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_k85VG2OemujhOmMd9h3si","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":"Performs exact row deduplication and adjacent row change detection on up to 200 wind observation records (wind_speed_ms, gust_speed_ms) using local analytical engines.","exampleAgentPrompt":"I have 150 daily wind observation rows with wind_speed_ms and gust_speed_ms from multiple station groups — can you run exact deduplication and detect adjacent row changes on the wind_speed_ms field for me?","exampleUseCases":[{"title":"Clean up duplicate weather station logs","prompt":"I've got a batch of 80 wind observation records from our weather stations and I suspect some are exact duplicates — can you deduplicate them and also flag any adjacent row changes in the gust_speed_ms field?"},{"title":"Audit consecutive wind speed shifts","prompt":"Here are 120 rows of daily wind speed readings from our station network. Can you run adjacent row change detection on the wind_speed_ms field so I can see where consecutive readings shifted significantly?"},{"title":"Pre-process wind data before modeling","prompt":"Before I feed this into my model, I need to clean 200 rows of wind observation data — remove any exact duplicate rows and report all adjacent changes in gust_speed_ms across the station groups."}],"resultDescription":"Returns two analytical reports: (1) an exact row deduplication report identifying fully identical rows within the submitted dataset, and (2) an adjacent row changes report showing differences between consecutive rows for the selected field (wind_speed_ms or gust_speed_ms), grouped by station_group and ordered by date. No external data is fetched; all analysis runs on the supplied rows.","failureModes":["Submission of more than 200 rows returns a validation error","Missing required fields (row_id, station_group, date, wind_speed_ms, gust_speed_ms) causes rejection","Invalid date format (not YYYY-MM-DD) triggers a pattern validation error","Selecting an invalid field enum value returns a schema error","Empty rows array is rejected due to minItems constraint","Payment failure via x402 protocol blocks the request"],"whenToPreferThis":"Choose this endpoint when you need two specific analytical reports — exact row deduplication and adjacent row change detection — on wind observation data (wind_speed_ms and/or gust_speed_ms) within a single low-cost call. It is ideal for data cleaning pipelines, pre-processing before modeling, or auditing meteorological time series without requiring any external lookup or live data. Prefer it over general-purpose deduplication tools when your data specifically includes station_group and date-keyed wind measurements.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:36:32.196Z","isFirstParty":false,"canonicalSlug":"wind-observations-exact-row-deduplication-adjacent-row-changes-ba3731e8"}