{"uid":"cap_wQZCa-PGzPS2xITLNVmt7","slug":"tree-canopy-observations-adjacent-row-changes-two-measure-correlation-a91e0875","name":"Tree Canopy Observations — Adjacent Row Changes + Two-Measure Correlation","description":"Tree canopy observations — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation for supplied tree canopy observations records (canopy_m2, plot_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-17-158?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","canopy_m2","plot_m2"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"plot_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"canopy_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","plot_m2":1,"canopy_m2":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","plot_m2":2,"canopy_m2":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","plot_m2":3,"canopy_m2":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","plot_m2":4,"canopy_m2":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["canopy_m2","plot_m2"],"type":"string","default":"canopy_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_yN3cmIBUpwthXGjlcryU-","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 adjacent-row delta changes and Pearson/rank correlation between canopy_m2 and plot_m2 for up to 200 tree canopy observation records, returning two analytical reports.","exampleAgentPrompt":"I have 50 tree canopy observation records with canopy_m2 and plot_m2 values across multiple station groups — can you run adjacent row change analysis and a two-measure correlation report on my canopy_m2 field?","exampleUseCases":[{"title":"Urban tree canopy monitoring audit","prompt":"I have 120 rows of urban tree canopy survey data with canopy_m2 and plot_m2 measurements per date and station group — run the adjacent row changes and two-measure correlation report on canopy_m2 so I can see how canopy cover is shifting sequentially and whether it tracks plot size."},{"title":"Ecological field study correlation check","prompt":"We collected plot-level canopy data across 80 forest plots with canopy_m2 and plot_m2 recorded per date — can you compute the adjacent row deltas and correlation between canopy_m2 and plot_m2 for me?"},{"title":"Reforestation progress sequential analysis","prompt":"Here are 200 rows of reforestation monitoring records with canopy area and plot area per station group and date — I need both the row-over-row change series on canopy_m2 and the two-measure correlation report to track growth trends."}],"resultDescription":"Returns two analytical reports: (1) an adjacent-row change series showing the delta between consecutive canopy_m2 (or plot_m2) values per row, and (2) a two-measure correlation report quantifying the statistical relationship between canopy_m2 and plot_m2 across all supplied rows. Both reports are computed locally from supplied data with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected or truncated","Missing required fields (row_id, date, canopy_m2, plot_m2) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Null values in both canopy_m2 and plot_m2 may produce undefined correlation","Single-row input cannot generate adjacent row changes — at least 2 rows required","Payment of 0.01 USDC not included or rejected causes 402 response"],"whenToPreferThis":"Choose this endpoint when you have tabular tree canopy observation data (canopy_m2, plot_m2) and need both sequential delta analysis and a bivariate correlation report in a single call for up to 200 rows. It is purpose-built for forestry/ecology datasets and bundles two reports at minimal cost, making it preferable over generic statistics APIs when your data already conforms to the station_group + date row schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:32:22.096Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-adjacent-row-changes-two-measure-correlation-a91e0875"}