{"uid":"cap_EEaUa-g25bbbVs1xDSkPZ","slug":"tree-canopy-observations-two-measure-correlation-date-by-category-pivot-4bf9e866","name":"Tree Canopy Observations — Two-Measure Correlation + Date by Category Pivot","description":"Tree canopy observations — Two-measure correlation + Date by category pivot: Two-measure correlation + Date by category pivot 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-17-182?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_ai8o2_eVw1QA4UuyhINHX","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":"Runs two analytical reports on supplied tree canopy observation data: a correlation analysis between canopy_m2 and plot_m2 measures, and a date-by-station-group pivot table.","exampleAgentPrompt":"I have up to 200 rows of tree canopy survey records with canopy_m2 and plot_m2 measurements, dates, and station groups — can you run a correlation between canopy_m2 and plot_m2 AND give me a pivot of canopy_m2 values broken down by date and station group?","exampleUseCases":[{"title":"Urban forest canopy coverage analysis","prompt":"I've got field survey data for 150 urban tree plots — each row has a row_id, a station group like 'north-zone' or 'south-zone', a date, and both a canopy_m2 and plot_m2 reading. Can you compute the correlation between canopy size and plot size, and also pivot the canopy_m2 values by date and station group?"},{"title":"Reforestation monitoring report","prompt":"We're monitoring reforestation progress across three site groups over the past quarter. I have 180 observation records with canopy_m2 and plot_m2 per site per date — please give me the two-measure correlation between those fields and a date-by-site-group breakdown of the canopy_m2 readings."},{"title":"Ecological research data QA","prompt":"Before I submit my canopy survey dataset to our research team, I want to quickly check whether canopy_m2 and plot_m2 are correlated across my 95 observations, and see a pivot of canopy_m2 organized by observation date and station group. Can you run both reports?"}],"resultDescription":"Returns two independent analytical reports: (1) a two-measure correlation result between canopy_m2 and plot_m2 (including correlation coefficient and supporting statistics), and (2) a date-by-station-group pivot table summarizing the selected field (canopy_m2 or plot_m2) across all supplied rows. Both reports are computed locally using shared analytical engines on the provided data, with no external lookups.","failureModes":["Exceeds 200-row limit — request rejected with validation error","Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) in any row causes schema validation failure","Malformed date strings not matching YYYY-MM-DD pattern rejected","Null values in both numeric fields for all rows may produce degenerate correlation result","Payment of 0.01 USDC not completed results in 402 Payment Required response","Empty rows array (minItems:1 violated) causes validation error"],"whenToPreferThis":"Choose this endpoint when you need both a pairwise correlation between canopy_m2 and plot_m2 AND a date-by-category pivot from the same batch of up to 200 tree canopy observation records in a single low-cost call ($0.01 USDC). It is ideal for environmental monitoring, urban forestry, or ecological research workflows where you supply your own data and want offline statistical summaries without any live data lookup or external prediction.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:40.609Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-two-measure-correlation-date-by-category-pivot-4bf9e866"}