{"uid":"cap_mehLjvwAmXtlXidHF_9AA","slug":"tree-canopy-observations-numeric-distribution-numeric-interval-filter-434dfc93","name":"Tree Canopy Observations — Numeric Distribution + Numeric Interval Filter","description":"Tree canopy observations — Numeric distribution + Numeric interval filter: Numeric distribution + Numeric interval filter 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-17-074?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_mkYMx3LbAYtoczohUoKTa","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 numeric distribution report and a numeric interval filter report for user-supplied tree canopy observation records (canopy_m2 and plot_m2 fields), returning two analytical reports for up to 200 rows.","exampleAgentPrompt":"I have 150 tree canopy observation records with canopy_m2 and plot_m2 measurements across several station groups — can you run a numeric distribution analysis on canopy_m2 and also filter to only show records where canopy_m2 is between 0 and 500, and give me both reports?","exampleUseCases":[{"title":"Urban tree survey distribution analysis","prompt":"I've got 80 tree canopy observations from our city survey with canopy_m2 and plot_m2 values across three station groups — can you analyze the distribution of canopy_m2 and filter it to records between 50 and 800 square meters so I can see how coverage is spread?"},{"title":"Ecological monitoring interval quality check","prompt":"We collected 120 canopy plot readings tagged by station group and date — please run a numeric distribution on plot_m2 and apply an interval filter from 0 to 1000 to flag which records fall within our expected range."},{"title":"Forestry restoration progress summary","prompt":"Here are 45 canopy measurement rows from our reforestation sites — run a distribution report on canopy_m2 and filter to rows where canopy_m2 is between 200 and 5000 so we can track which plots have meaningful tree cover."}],"resultDescription":"Returns two analytical reports derived from the supplied rows: (1) a numeric distribution report showing how values of the selected field (canopy_m2 or plot_m2) are spread across the dataset, and (2) a numeric interval filter report listing records whose selected field values fall within the specified minimum–maximum range. Both reports are computed locally from the supplied data with no external lookups.","failureModes":["Fewer than 1 row supplied — request rejected (minItems: 1)","More than 200 rows supplied — request rejected (maxItems: 200)","Invalid date format (must match YYYY-MM-DD pattern) — validation error","Missing required fields (row_id, station_group, date, canopy_m2, plot_m2) — schema validation failure","Minimum value greater than maximum value — may produce empty interval filter result","Non-numeric values in canopy_m2 or plot_m2 where number is expected — schema rejection","Payment failure — x402 payment of 0.01 USDC not confirmed, request not processed"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tree canopy observation records with canopy_m2 and plot_m2 fields and need both a distribution summary and an interval-filtered view of the data in a single low-cost call. It is ideal for offline/batch ecological analysis where no live data lookup or external prediction is needed, and when you want two bundled reports for $0.01 USDC rather than paying for separate analytical services.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:52:59.367Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-numeric-distribution-numeric-interval-filter-434dfc93"}