{"uid":"cap_M0fcfnYhru0N2xTXnbU8y","slug":"wind-observations-numeric-interval-filter-base-100-series-8ddf2c8b","name":"Wind Observations — Numeric Interval Filter + Base-100 Series","description":"Wind observations — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 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-03-128?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000},"base_index":{"type":"integer","default":0,"maximum":199,"minimum":0}}},"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_kK-8JrlJ5FqaBLDd5eiFT","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":"Filters wind observation rows by a numeric interval and computes a Base-100 indexed series for wind_speed_ms or gust_speed_ms across up to 200 supplied records.","exampleAgentPrompt":"I have 150 rows of wind station data with wind_speed_ms and gust_speed_ms fields — can you filter them to only rows where wind_speed_ms is between 5 and 25, and also compute a Base-100 index series for wind_speed_ms using row 0 as the base?","exampleUseCases":[{"title":"Storm threshold analysis for weather stations","prompt":"I've got daily wind readings from two station groups over the past quarter — can you filter just the records where gust_speed_ms is between 10 and 40, and give me a Base-100 series for gust_speed_ms anchored to the first row?"},{"title":"Calm-day wind indexing for energy planning","prompt":"Here are 90 days of wind speed observations — filter the rows where wind_speed_ms falls between 0 and 8, then index the wind_speed_ms values as a Base-100 series starting from row 0, so I can see relative trends in calm conditions."},{"title":"Comparative wind speed normalization across groups","prompt":"I have wind measurements from group-a and group-b stations across 200 dates — can you filter to rows where wind_speed_ms is between 3 and 20 and compute a Base-100 indexed series using row 5 as the baseline?"}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter result listing rows where the selected field (wind_speed_ms or gust_speed_ms) falls within the specified minimum–maximum range, and (2) a Base-100 indexed series for the selected field relative to the specified base row, across up to 200 input observation records.","failureModes":["Rows array is empty or exceeds 200 items — validation error","base_index references a row index outside the supplied rows array — index out of range error","Invalid date format (not YYYY-MM-DD) in any row — schema validation failure","minimum greater than maximum — may return empty filter result or error","null values in wind_speed_ms or gust_speed_ms may be excluded from computations","Payment of 0.01 USDC not completed — x402 payment required response"],"whenToPreferThis":"Choose this endpoint when you have up to 200 wind observation records (wind_speed_ms and/or gust_speed_ms) that you supply directly and want two specific local analyses: a numeric interval filter to isolate readings within a speed range, and a Base-100 normalized index series. It requires no external data sources, live weather APIs, or forecasting — ideal for offline batch analysis of already-collected station data at very low cost.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:35:58.345Z","isFirstParty":false,"canonicalSlug":"wind-observations-numeric-interval-filter-base-100-series-8ddf2c8b"}