{"uid":"cap_iGI4TC7qCWkFTuJ0r4DIP","slug":"tree-canopy-observations-category-frequencies-two-measure-correlation-19732e2e","name":"Tree Canopy Observations — Category Frequencies + Two-Measure Correlation","description":"Tree canopy observations — Category frequencies + Two-measure correlation: Category frequencies + 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-17-108?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}}},"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_3CUxoTO0D2-RXc_HXuXaK","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 category frequencies and Pearson/Spearman correlation between canopy_m2 and plot_m2 fields across up to 200 supplied tree canopy observation rows.","exampleAgentPrompt":"I have up to 200 tree canopy observation records with station_group, date, canopy_m2, and plot_m2 fields — can you run category frequency counts on the station groups and also compute the correlation between canopy_m2 and plot_m2?","exampleUseCases":[{"title":"Urban forest canopy coverage audit","prompt":"I've got 150 tree survey rows from three monitoring stations, each with canopy_m2 and plot_m2 measurements — can you tell me how many observations come from each station group and whether canopy size correlates with plot size?"},{"title":"Seasonal tree canopy pattern analysis","prompt":"Here are 80 tree canopy observation records across two station groups from October 2026 — run frequency counts on the station groups and give me the correlation between canopy_m2 and plot_m2 so I can see if larger plots tend to have more canopy cover."},{"title":"Ecology research dataset QA check","prompt":"Before we publish our tree plot dataset, can you check the distribution of station_group categories and compute the canopy_m2 vs plot_m2 correlation across all 200 rows so we can report those stats in our methods section?"}],"resultDescription":"Returns two analytical reports sharing the same input rows: (1) a frequency table showing how many records fall into each station_group category, and (2) a two-measure correlation result quantifying the statistical relationship between canopy_m2 and plot_m2 values across the supplied rows.","failureModes":["Fewer than 1 row supplied — request rejected","More than 200 rows supplied — exceeds maximum limit","Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — validation error","Dates not matching YYYY-MM-DD pattern — schema validation failure","All canopy_m2 or plot_m2 values null — correlation cannot be computed","Payment not provided or incorrect amount — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 pre-collected tree canopy observation records and need both a categorical breakdown of station groups and a correlation between two numeric measures (canopy_m2 and plot_m2) in a single low-cost call. Prefer it over general statistics APIs when your data specifically involves canopy and plot area measurements and you want two bundled analytical outputs for $0.01 USDC. Not suitable for live sensor data lookup, predictions, or datasets exceeding 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:50:27.034Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-category-frequencies-two-measure-correlation-19732e2e"}