{"uid":"cap_Jk1mxET0fLmJG0gRGsF_o","slug":"pressure-observations-numeric-row-ordering-secondary-measure-weighted-b8fdaaef","name":"Pressure Observations — Numeric Row Ordering + Secondary-Measure Weighted Mean","description":"Pressure observations — Numeric row ordering + Secondary-measure weighted mean: Numeric row ordering + Secondary-measure weighted mean for supplied pressure observations records (pressure_hpa, elevation_m). 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-05-121?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","pressure_hpa","elevation_m"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"elevation_m":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"pressure_hpa":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","elevation_m":1,"pressure_hpa":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","elevation_m":2,"pressure_hpa":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","elevation_m":3,"pressure_hpa":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","elevation_m":4,"pressure_hpa":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["pressure_hpa","elevation_m"],"type":"string","default":"pressure_hpa"}}},"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_G5AhEkeD45dK_tgFzLmFJ","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 row ordering and secondary-measure weighted mean analytics on supplied pressure observation records (pressure_hpa, elevation_m) for up to 200 rows.","exampleAgentPrompt":"I have a set of pressure observation records with pressure_hpa and elevation_m values across several station groups — can you rank them numerically and compute a weighted mean on the pressure_hpa field for up to 200 rows?","exampleUseCases":[{"title":"Station pressure ranking for meteorologists","prompt":"I have daily pressure readings from multiple weather stations with their elevations — rank the rows numerically by pressure_hpa and give me a weighted mean of pressure_hpa across all records."},{"title":"Elevation-weighted analysis of barometric data","prompt":"Here are 150 pressure observation rows from our network, each tagged with station_group, date, pressure_hpa, and elevation_m. Can you compute the numeric row ordering and a secondary-measure weighted mean using elevation_m as the field?"},{"title":"Multi-station group pressure comparison","prompt":"I've got pressure and elevation readings from two station groups over the past week — apply numeric row ordering and compute a weighted mean on the pressure_hpa values so I can compare the groups."}],"resultDescription":"Two analytical reports covering: (1) numeric row ordering of the supplied pressure observation records ranked by the selected field, and (2) a secondary-measure weighted mean computed across the dataset. Results are based entirely on the submitted rows with no external lookups or predictions.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, station_group, date, pressure_hpa, elevation_m) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Null values for both numeric fields on a row — may produce incomplete weighted mean","Payment not completed — x402 payment required before results are returned"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 pressure observation records (with pressure_hpa and elevation_m) and need both a numeric row ranking and a weighted mean statistic in a single low-cost call. Ideal for offline analytical pipelines that don't need real-time forecasting or external data enrichment — just deterministic computation on supplied data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:48:35.978Z","isFirstParty":false,"canonicalSlug":"pressure-observations-numeric-row-ordering-secondary-measure-weighted-b8fdaaef"}