{"uid":"cap_E5VL1WZeqGQPRRv3lVZzV","slug":"tree-canopy-observations-grouped-numeric-summary-trailing-mean-series-c3fab210","name":"Tree Canopy Observations — Grouped Numeric Summary + Trailing Mean Series","description":"Tree canopy observations — Grouped numeric summary + Trailing mean series: Grouped numeric summary + 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-17-090?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_Z4MlWWlosl1JQxWDYT97V","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 a grouped numeric summary and a trailing mean time series for tree canopy observation records (canopy_m2, plot_m2) using local analytical engines.","exampleAgentPrompt":"I have 4 tree canopy observation records with station groups and dates — can you compute a grouped numeric summary and a trailing mean series for the canopy_m2 field using a rolling window of 3?","exampleUseCases":[{"title":"Urban Forest Canopy Coverage Reporting","prompt":"I've got 150 rows of tree canopy measurements from multiple monitoring stations across the city — can you group them by station and give me a numeric summary plus a 5-period trailing mean for the canopy_m2 field?"},{"title":"Ecological Restoration Site Monitoring","prompt":"We're tracking plot and canopy area at restoration sites over time. Can you run a grouped numeric summary and a rolling mean series with a window of 10 on my canopy_m2 observations, grouped by site ID?"},{"title":"Seasonal Canopy Change Analysis","prompt":"Here are 80 tree canopy records from last year across three station groups — please compute a grouped summary and a trailing mean for plot_m2 using a window of 4 so I can see seasonal trends per group."}],"resultDescription":"Returns two analytical reports: (1) a grouped numeric summary (e.g. count, mean, min, max, std) of the selected field broken out by station_group, and (2) a trailing mean time series computed over the specified rolling window for the selected field (canopy_m2 or plot_m2). Results are derived entirely from supplied data using local engines with no external lookups.","failureModes":["Input array exceeds 200 rows — request will be rejected","Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Window size less than 2 or greater than 200 is rejected","Null values in the target field may reduce the effective trailing mean sample size","Payment not attached or insufficient USDC balance causes 402 error"],"whenToPreferThis":"Choose this endpoint when you need both a grouped statistical summary and a rolling mean time series for tree canopy or plot area data in a single call, without needing live data lookups, predictions, or external integrations. It is ideal for forestry analysts, urban planners, or ecologists who already have observation records and want quick descriptive analytics and trend smoothing on up to 200 rows at a very low cost ($0.01 USDC for both reports).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:48.396Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-grouped-numeric-summary-trailing-mean-series-c3fab210"}