{"uid":"cap_ibqDx5csJi4eQ45mx-wVH","slug":"elevation-samples-daily-sum-series-and-two-measure-correlation-3d6fd968","name":"Elevation Samples Daily Sum Series and Two-Measure Correlation","description":"Elevation samples — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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-13-141?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_sXx9IDsHO-Kzdx6oovXoF","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 daily sum time series and a two-measure correlation report for elevation sample records containing elevation_m and sample_weight fields, using local analytics on up to 200 rows.","exampleAgentPrompt":"I have some elevation sample data with dates, station groups, elevation_m values, and sample_weight values — can you compute the daily sum series for elevation_m and also run a correlation between elevation_m and sample_weight across all the rows?","exampleUseCases":[{"title":"Daily elevation totals for sensor network","prompt":"I've got readings from two station groups — group-a and group-b — with elevation measurements and sample weights for each day in October 2026. Can you compute the daily sum of elevation_m across all rows and tell me how elevation_m correlates with sample_weight?"},{"title":"Correlation analysis for terrain survey","prompt":"We collected elevation samples at different stations with associated sample weights. Please run a two-measure correlation between elevation_m and sample_weight and also give me the daily summed elevation series so I can spot trends over time."},{"title":"Weighted elevation aggregation for research dataset","prompt":"I have up to 150 rows of elevation sample data with dates, station groups, elevation_m, and sample_weight columns. Give me both the daily sum series for elevation_m and the correlation report between elevation_m and sample_weight."}],"resultDescription":"Returns two analytical reports: (1) a daily sum series showing the total of the selected field (elevation_m or sample_weight) grouped by date, and (2) a two-measure correlation report quantifying the statistical relationship between elevation_m and sample_weight across the supplied rows. Results are computed locally from the submitted data with no external lookups.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required fields (row_id, date, elevation_m, sample_weight, station_group) causes schema rejection","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Null values in both numeric fields may reduce correlation quality or produce undefined results","Payment of 0.01 USDC must be included; missing payment results in 402 error"],"whenToPreferThis":"Choose this endpoint when you have elevation sample records with dates and two numeric measures (elevation_m and sample_weight) and need both a daily aggregated time series and a statistical correlation between those two measures in a single low-cost call. It is ideal for small to medium datasets (up to 200 rows) where you want fast, offline analytical results without external data enrichment or live forecasts.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T12:36:50.604Z","isFirstParty":false,"canonicalSlug":"elevation-samples-daily-sum-series-and-two-measure-correlation-3d6fd968"}