{"uid":"cap_izsfzFBYDuKevYCSYSAZM","slug":"elevation-samples-numeric-distribution-secondary-measure-weighted-mean-e7f87853","name":"Elevation Samples — Numeric Distribution + Secondary-Measure Weighted Mean","description":"Elevation samples — Numeric distribution + Secondary-measure weighted mean: Numeric distribution + 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-13-082?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"}}},"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_6CUxPAcy8clIta6dax5U3","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 a numeric distribution report and a sample-weight-based weighted mean for up to 200 elevation sample records, using local analytical engines with no external lookups.","exampleAgentPrompt":"I have 4 elevation sample records — row-1 on 2026-10-01 at 10m with weight 1 in group-a, row-2 on 2026-10-02 at 20m with weight 2 in group-b, row-3 at 15m with weight 3 in group-a, and row-4 at 30m with weight 4 in group-b — can you compute the numeric distribution and weighted mean for the elevation_m field across these samples?","exampleUseCases":[{"title":"Survey elevation distribution analysis","prompt":"I collected elevation readings from 8 survey stations over the past week — each row has an elevation in meters and a reliability weight. Can you compute the numeric distribution and the weight-based average elevation for these samples? Here are the rows: row-1 2026-10-01 elevation 120m weight 2 station-a, row-2 2026-10-02 elevation 340m weight 5 station-b, row-3 2026-10-03 elevation 210m weight 3 station-a."},{"title":"Weighted mean elevation for sensor network","prompt":"I have data from a network of elevation sensors grouped into two station groups — group-north and group-south — with sample weights reflecting measurement confidence. Give me the numeric distribution report and the weighted mean elevation for these 6 records using elevation_m as the target field."},{"title":"Multi-group elevation statistics for terrain modeling","prompt":"We're doing terrain analysis and have 10 elevation sample records with associated sample weights from three station groups. Can you run the numeric distribution and weighted mean computation on the elevation_m values across all rows so we can compare the spread and central tendency?"}],"resultDescription":"Returns two analytical reports for the submitted elevation sample rows: (1) a numeric distribution breakdown of the selected field (elevation_m) showing statistical spread characteristics, and (2) a secondary-measure weighted mean of elevation_m values weighted by sample_weight — all computed locally without any external data sources.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, elevation_m, sample_weight, date, station_group) cause validation errors","Non-numeric elevation_m or sample_weight values fail schema validation","Dates not matching YYYY-MM-DD pattern are rejected","Null values in elevation_m or sample_weight may produce partial or undefined weighted mean results"],"whenToPreferThis":"Choose this endpoint when you have a batch of elevation measurement records with associated sample weights and need both a statistical distribution summary and a weighted mean computed in a single API call at low cost ($0.01 USDC for up to 200 rows). It is ideal for offline/batch analytical workflows on pre-collected sensor or survey data where no live geospatial lookup or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:37:35.397Z","isFirstParty":false,"canonicalSlug":"elevation-samples-numeric-distribution-secondary-measure-weighted-mean-e7f87853"}