{"uid":"cap_KTQwzk44wxSzc3hrMyGvw","slug":"elevation-samples-numeric-interval-filter-secondary-measure-weighted-0ea13950","name":"Elevation Samples — Numeric Interval Filter + Secondary-Measure Weighted Mean","description":"Elevation samples — Numeric interval filter + Secondary-measure weighted mean: Numeric interval filter + Secondary-measure weighted mean for supplied elevation samples records (elevation_m, sample_weight). 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-13-132?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","elevation_m","sample_weight"],"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},"sample_weight":{"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":10,"sample_weight":1,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","elevation_m":20,"sample_weight":2,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","elevation_m":15,"sample_weight":3,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","elevation_m":30,"sample_weight":4,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["elevation_m","sample_weight"],"type":"string","default":"elevation_m"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_F81typIQgBtuT9U2nzVfO","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 elevation sample rows by a numeric interval on a chosen field and computes a sample-weight-weighted mean, returning two analytical reports for up to 200 rows of supplied elevation data.","exampleAgentPrompt":"I have 150 elevation sample rows with station groups and sample weights — can you filter them to only include rows where elevation_m is between 5 and 500 meters, and compute the sample-weight-weighted mean across that filtered set? I need both analytical reports.","exampleUseCases":[{"title":"Elevation range filter for survey stations","prompt":"I have survey station readings — 80 rows with elevation_m and sample_weight values — and I want to keep only those where elevation_m falls between 50 and 300 meters, then get the weighted mean elevation using sample_weight. Can you run the two standard reports on that filtered dataset?"},{"title":"Outlier exclusion before weighted aggregation","prompt":"We have 120 elevation sample records and want to exclude extreme outliers by filtering to elevation_m between -10 and 200, then compute the sample-weight-weighted mean for the remaining rows across our station groups — give me both reports."},{"title":"Weighted mean on sample_weight field with elevation filter","prompt":"For this set of 60 elevation samples, filter using the sample_weight field between 1 and 50, and then compute the weighted mean — I want the numeric interval filter report and the secondary-measure weighted mean report for these rows."}],"resultDescription":"Two analytical reports derived from the supplied elevation sample rows: (1) a numeric interval filter report showing which rows fall within the specified min/max bounds on the chosen field, and (2) a secondary-measure weighted mean report computing the sample_weight-weighted mean of the relevant numeric field across the filtered dataset. Results are based entirely on submitted data with no external lookups.","failureModes":["Input array exceeds 200 rows — request rejected","Missing required row fields (row_id, elevation_m, sample_weight, date, station_group) — validation error","Invalid date format (must match YYYY-MM-DD) — schema rejection","Minimum bound greater than maximum bound — may return empty filtered set","Null values in elevation_m or sample_weight may affect weighted mean computation","Payment of 0.01 USDC not fulfilled — 402 response blocking execution"],"whenToPreferThis":"Choose this endpoint when you have a pre-collected dataset of elevation samples (up to 200 rows) and need both a numeric interval filter and a weighted mean computation in a single call, without requiring any live data lookup, prediction, or external enrichment. It is ideal for offline or batch analytical workflows where you supply your own elevation_m and sample_weight records and want two structured reports cheaply.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:40.510Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-interval-filter-secondary-measure-weighted-0ea13950"}