{"uid":"cap_vZmCubonYn2b6jj4P1dmk","slug":"tree-canopy-observations-numeric-interval-filter-equal-width-histogram-59a674e4","name":"Tree Canopy Observations — Numeric Interval Filter + Equal-Width Histogram","description":"Tree canopy observations — Numeric interval filter + Equal-width histogram: Numeric interval filter + Equal-width histogram 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-17-129?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"bins":{"type":"integer","default":5,"maximum":30,"minimum":1},"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_5jUZZTC3gL2zaFCxsgOxr","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":"Applies a numeric interval filter and generates an equal-width histogram for up to 200 tree canopy observation records (canopy_m2, plot_m2) in a single call.","exampleAgentPrompt":"I have 150 tree canopy observation records with canopy_m2 and plot_m2 fields — can you run a numeric interval filter keeping only rows where canopy_m2 is between 0 and 500, and also produce an equal-width histogram with 10 bins on canopy_m2?","exampleUseCases":[{"title":"Urban forest canopy distribution analysis","prompt":"I've collected 80 tree canopy survey records across several station groups and want to understand the distribution of canopy_m2 values — can you filter to canopy areas between 50 and 2000 square meters and show me a histogram with 8 equal-width bins?"},{"title":"Plot size outlier screening for field surveys","prompt":"Here are 120 plot observation rows from our field survey — please filter plot_m2 values between 100 and 5000 and generate a 5-bin equal-width histogram so I can spot any unusual clustering in plot sizes."},{"title":"Station group canopy data quality review","prompt":"I have canopy observation data from multiple station groups and want a quick statistical view — filter canopy_m2 values between 0 and 1000 and produce a 10-bin histogram so I can see how coverage is distributed across the dataset."}],"resultDescription":"Returns two analytical reports: (1) a numeric interval filter report listing which of the submitted records fall within the specified minimum–maximum range for the chosen field, and (2) an equal-width histogram report showing bin edges and record counts across the specified number of bins — all computed locally from the submitted data without any external lookup.","failureModes":["Submitting more than 200 rows returns a validation error","Missing required row fields (row_id, date, canopy_m2, plot_m2) causes schema rejection","Requesting more than 30 bins or fewer than 1 bin is rejected","Invalid date format (not YYYY-MM-DD) causes validation failure","Minimum value greater than maximum value may produce empty filter results","Null numeric values in the target field are handled but may reduce histogram accuracy"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tree canopy or plot observation records and need both a range-based filter and a histogram distribution summary in a single low-cost call ($0.01 USDC). It is ideal for offline/local analytical work on supplied data — no live data fetching, external enrichment, or prediction is performed. Prefer it over general-purpose analytics tools when working specifically with canopy_m2/plot_m2 schema records and needing two bundled reports at once.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:14.004Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-numeric-interval-filter-equal-width-histogram-59a674e4"}