{"uid":"cap_-Utt63yY9u7GAKdenFnFa","slug":"tree-canopy-observations-numeric-distribution-trailing-mean-series-4531ab7d","name":"Tree Canopy Observations — Numeric Distribution + Trailing Mean Series","description":"Tree canopy observations — Numeric distribution + Trailing mean series: Numeric distribution + Trailing mean series 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-17-076?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"},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_dRqovxpBD87egr7t5FF2U","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 numeric distribution statistics and a trailing mean time series for supplied tree canopy and plot area observations (canopy_m2, plot_m2) across up to 200 rows.","exampleAgentPrompt":"I have 50 tree canopy observation records with canopy_m2 and plot_m2 values across several station groups — can you run a numeric distribution report and a trailing mean series with a window of 5 on the canopy_m2 field?","exampleUseCases":[{"title":"Urban forestry canopy coverage analysis","prompt":"I've got 120 tree plot observations from our city parks survey — each has a date, station group, canopy area, and plot area in square meters. Can you give me the numeric distribution and a trailing mean series with a window of 10 on the canopy_m2 field so I can see coverage trends?"},{"title":"Ecological research plot area statistics","prompt":"Here are 80 rows from our ecological field study with canopy_m2 and plot_m2 measurements. Please compute the numeric distribution and a trailing mean with window size 4 on the plot_m2 field so we can summarize plot size variability across station groups."},{"title":"Tree canopy monitoring trend report","prompt":"I need to analyze 35 tree canopy records collected monthly across three monitoring stations. Run a numeric distribution and trailing mean series with window 3 on canopy_m2 so I can spot any seasonal trends in canopy coverage."}],"resultDescription":"Returns two analytical reports for the supplied dataset: (1) a numeric distribution report including statistics such as mean, median, min, max, and percentiles for the selected field (canopy_m2 or plot_m2); and (2) a trailing mean series showing rolling average values over the specified window size, aligned to the submitted rows and dates.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, canopy_m2, plot_m2) cause schema rejection","Invalid date format (not YYYY-MM-DD) causes a parsing error","Window size outside 2–200 range is rejected","Null values in the selected field may reduce statistical accuracy or cause partial output","Payment of 0.01 USDC must be included via x402 protocol or the request is rejected"],"whenToPreferThis":"Choose this endpoint when you have up to 200 rows of tree canopy or plot area observations and need both a distribution summary and a rolling mean time series in a single call. It is ideal for ecological, forestry, or urban greening use cases where local analytical computation on supplied data (no external lookup) is sufficient. Prefer it over generic statistics APIs when you need both report types bundled for a flat $0.01 USDC cost and the data fits the canopy_m2/plot_m2 schema.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T00:51:52.550Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-numeric-distribution-trailing-mean-series-4531ab7d"}