{"uid":"cap_39jmWhGLMs8Z_0fDwCnco","slug":"tree-canopy-daily-sum-series-two-measure-correlation-21997e08","name":"Tree Canopy Daily Sum Series & Two-Measure Correlation","description":"Tree canopy observations — Daily sum series + Two-measure correlation: Daily sum series + 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-17-141?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_aFiC9LPMTNw52JR5qoOTt","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 daily sum time series and Pearson/two-measure correlation between canopy_m2 and plot_m2 for up to 200 supplied tree canopy observation records.","exampleAgentPrompt":"I have 150 tree canopy observation records with dates, canopy_m2, and plot_m2 values across several station groups — can you compute the daily sum series for canopy_m2 and also run a two-measure correlation between canopy_m2 and plot_m2 across all those rows?","exampleUseCases":[{"title":"Urban tree canopy coverage trend analysis","prompt":"I've got daily canopy survey records from our city parks project — each row has a date, a station group, canopy area in m2 and plot area in m2. Can you compute the daily sum series for canopy_m2 and tell me how strongly canopy size correlates with plot size across all 120 rows?"},{"title":"Reforestation plot monitoring report","prompt":"We're tracking reforestation progress across 80 monitoring plots. I have records with dates and both canopy_m2 and plot_m2 measurements per observation. Please give me the daily summed canopy totals over time and the correlation between canopy coverage and plot size."},{"title":"Station-group canopy vs plot size comparison","prompt":"I need to analyze whether tree canopy area scales with plot area in our survey data — I have 200 rows from multiple station groups each with a date, canopy_m2, and plot_m2. Run the daily sum aggregation on canopy_m2 and give me the two-measure correlation between canopy_m2 and plot_m2."}],"resultDescription":"Returns two analytical reports: (1) a daily sum time series aggregating the selected measure (canopy_m2 or plot_m2) by date, and (2) a two-measure correlation report showing the statistical relationship between canopy_m2 and plot_m2 across the supplied rows. Both reports are computed locally from the provided data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) causes a schema rejection","Malformed date strings (not YYYY-MM-DD) fail pattern validation","All-null values for a measure may produce undefined correlation","Insufficient data points (e.g. single row) may yield trivial or undefined correlation"],"whenToPreferThis":"Choose this endpoint when you have structured tree canopy observation data (canopy_m2, plot_m2) and need both a temporal daily-sum aggregation and a two-variable correlation in a single API call. It is purpose-built for urban forestry and ecological survey workflows with up to 200 rows, and costs only $0.01 USDC for both reports together. Prefer alternatives if you need predictions, live remote-sensing data, or analysis of more than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:46.612Z","isFirstParty":false,"canonicalSlug":"tree-canopy-daily-sum-series-two-measure-correlation-21997e08"}