{"uid":"cap_uTR2PwGQRrWsf4OSI6AnR","slug":"field-survey-coverage-two-measure-correlation-secondary-measure-6c0f51ac","name":"Field Survey Coverage — Two-Measure Correlation + Secondary-Measure Weighted Mean","description":"Field survey coverage — Two-measure correlation + Secondary-measure weighted mean: Two-measure correlation + Secondary-measure weighted mean for supplied field survey coverage records (surveyed_m2, target_m2). 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-22-181?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","surveyed_m2","target_m2"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"target_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"surveyed_m2":{"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","target_m2":1,"surveyed_m2":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","target_m2":2,"surveyed_m2":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","target_m2":3,"surveyed_m2":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","target_m2":4,"surveyed_m2":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["surveyed_m2","target_m2"],"type":"string","default":"surveyed_m2"}}},"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_4bxliG0aZLvwFkRDi98R2","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 Pearson correlation between surveyed_m2 and target_m2, plus a weighted mean of the secondary measure, for up to 200 field survey coverage records.","exampleAgentPrompt":"Run a two-measure correlation and secondary-measure weighted mean on my field survey coverage data — I have 4 rows with station groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, surveyed_m2 values of 10, 20, 15, 30 and target_m2 values of 1, 2, 3, 4, and I want to use surveyed_m2 as the primary field.","exampleUseCases":[{"title":"Ecology plot coverage validation","prompt":"I have 50 field survey records from our ecology study with surveyed_m2 and target_m2 columns — can you run a two-measure correlation plus weighted mean on the secondary measure to see how well our surveyed plots track against targets? Use surveyed_m2 as the primary field."},{"title":"Station group survey audit","prompt":"Analyze my field survey data grouped by station — I have 120 rows with surveyed_m2 and target_m2 values across three station groups collected over Q3. Give me the correlation between the two measures and a weighted mean of target_m2."},{"title":"Land restoration progress check","prompt":"We're tracking land restoration coverage across 80 survey sites. Can you correlate the surveyed_m2 against target_m2 and compute the weighted mean of target_m2 for a summary report? I'll give you the row IDs, dates, and station group labels."}],"resultDescription":"Returns two analytical reports: (1) a Pearson correlation coefficient between surveyed_m2 and target_m2 across the supplied rows, and (2) a weighted mean of the secondary measure. Both are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — minItems validation error","More than 200 rows supplied — maxItems validation error","Missing required fields (row_id, date, surveyed_m2, target_m2, station_group) — schema validation error","Invalid date format (must be YYYY-MM-DD) — pattern validation error","Numeric values outside ±1,000,000,000,000 range — range validation error","All numeric values null — correlation undefined / division by zero in weighted mean"],"whenToPreferThis":"Choose this endpoint when you need both a two-measure correlation and a secondary-measure weighted mean computed together from field survey coverage data (surveyed_m2 / target_m2) in a single low-cost call. It is purpose-built for field survey schemas with station_group and date context, returns two reports for a flat $0.01, and requires no external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:40.864Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-two-measure-correlation-secondary-measure-6c0f51ac"}