{"uid":"cap_xJE4uip8smxbkJCwWqnAb","slug":"elevation-samples-record-quality-audit-two-measure-correlation-958ca48f","name":"Elevation Samples — Record Quality Audit + Two-Measure Correlation","description":"Elevation samples — Record quality audit + Two-measure correlation: Record quality audit + 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-13-015?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}}},"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_7Y_YqtOixNbUk0vJ66I1h","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":"Audits record quality and computes two-measure correlation between elevation_m and sample_weight for up to 200 supplied elevation sample rows, producing two independent analytical reports.","exampleAgentPrompt":"Can you audit the record quality and run a two-measure correlation between elevation_m and sample_weight for my elevation samples dataset? Here are up to 200 rows with row_id, station_group, date, elevation_m, and sample_weight — I want both the quality audit and correlation report.","exampleUseCases":[{"title":"Pre-analysis data quality check for elevation survey","prompt":"I have 150 rows of elevation sample data from our field survey, each with a row ID, station group, date, elevation in meters, and sample weight. Can you audit the record quality and check the correlation between elevation and sample weight before I hand this off to the modelling team?"},{"title":"Validating sensor station measurements","prompt":"We've collected elevation and weight readings from multiple station groups over the past month — can you run a quality audit on these records and tell me how correlated the elevation_m and sample_weight values are across all 80 rows?"},{"title":"Detecting data issues in elevation benchmark dataset","prompt":"I need to check this elevation benchmark dataset for bad or missing records and also get a correlation analysis between the elevation_m and sample_weight columns. There are about 60 rows with station group labels and dates — can you produce both reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range fields, and malformed records across the supplied rows; and (2) a two-measure correlation report quantifying the statistical relationship between elevation_m and sample_weight across the dataset. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Exceeding 200 rows results in rejection or truncation","Missing required fields (row_id, elevation_m, sample_weight, date, station_group) causes validation errors","Invalid date format (not YYYY-MM-DD) triggers schema rejection","Null or extreme numeric values may degrade correlation quality","Empty rows array returns an error","Malformed JSON payload causes request failure"],"whenToPreferThis":"Choose this endpoint when you have a batch of up to 200 elevation sample records and need both a record quality audit and a pairwise correlation analysis between elevation_m and sample_weight in a single low-cost call. It is ideal for pre-processing validation before downstream modelling, detecting data quality issues in elevation survey data, and understanding the statistical relationship between two numeric measures without any live data lookup or external enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-03T12:42:41.610Z","isFirstParty":false,"canonicalSlug":"elevation-samples-record-quality-audit-two-measure-correlation-958ca48f"}