{"uid":"cap_X8bin5zjsBnNY2X0ek5Qp","slug":"soil-moisture-observations-two-measure-correlation-missing-value-fill-8d76f7e5","name":"Soil Moisture Observations — Two-Measure Correlation + Missing-Value Fill","description":"Soil moisture observations — Two-measure correlation + Explicit missing-value fill: Two-measure correlation + Explicit missing-value fill for supplied soil moisture observations records (moisture_percent, depth_cm). 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-08-184?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","moisture_percent","depth_cm"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"depth_cm":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"station_group":{"type":"string","default":"","maxLength":80},"moisture_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","depth_cm":1,"station_group":"group-a","moisture_percent":10},{"date":"2026-10-02","row_id":"row-2","depth_cm":2,"station_group":"group-b","moisture_percent":20},{"date":"2026-10-03","row_id":"row-3","depth_cm":3,"station_group":"group-a","moisture_percent":15},{"date":"2026-10-04","row_id":"row-4","depth_cm":4,"station_group":"group-b","moisture_percent":30}],"maxItems":200,"minItems":1},"field":{"enum":["moisture_percent","depth_cm"],"type":"string","default":"moisture_percent"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_7AywAMgZ-2DJJ6IaqRDRg","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 two-measure correlation between moisture_percent and depth_cm fields, and fills missing values using a chosen strategy, for up to 200 soil moisture observation rows.","exampleAgentPrompt":"I have up to 200 rows of soil moisture sensor readings with moisture_percent and depth_cm fields — can you run a two-measure correlation between those two fields and fill any missing moisture_percent values using the median method?","exampleUseCases":[{"title":"Agricultural field sensor QA","prompt":"I've got 150 rows of daily soil moisture readings from two station groups with some missing moisture_percent values — can you fill those gaps using the median and also tell me how strongly moisture percent correlates with sensor depth?"},{"title":"Hydrology research dataset cleaning","prompt":"I need to clean up my soil moisture dataset before analysis — please fill any missing depth_cm values with the mean and give me the two-measure correlation report for moisture_percent and depth_cm across my 80 observation rows."},{"title":"Irrigation monitoring correlation check","prompt":"Can you analyze these 60 soil sensor observations and compute the correlation between moisture percentage and depth, filling any missing moisture_percent values with zero so I have a complete dataset?"}],"resultDescription":"Returns two analytical reports: (1) a two-measure correlation report quantifying the statistical relationship between moisture_percent and depth_cm, and (2) a missing-value fill report showing which rows had nulls and what values were imputed using the selected method (zero, mean, or median). Results cover up to 200 input rows.","failureModes":["Fewer than 1 row provided — request rejected","More than 200 rows submitted — exceeds maxItems limit","Invalid date format (must be YYYY-MM-DD) — schema validation failure","row_id missing or empty — required field error","Payment of 0.01 USDC not completed — 402 response","field enum value not recognized — validation error","Insufficient non-null values to compute correlation — degenerate result or error"],"whenToPreferThis":"Choose this endpoint when you have tabular soil moisture observation data (moisture_percent and depth_cm) with up to 200 rows and need both a correlation analysis between those two measures AND missing-value imputation in a single $0.01 call. It runs entirely on local analytical engines with no external lookups, making it deterministic and privacy-safe for sensitive field data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:59.875Z","isFirstParty":false,"canonicalSlug":"soil-moisture-observations-two-measure-correlation-missing-value-fill-8d76f7e5"}