{"uid":"cap_4ikA47Upic5dTUlH6t33C","slug":"tree-canopy-observations-equal-width-histogram-iqr-outlier-flags-116061e6","name":"Tree Canopy Observations — Equal-Width Histogram + IQR Outlier Flags","description":"Tree canopy observations — Equal-width histogram + IQR outlier flags: Equal-width histogram + IQR outlier flags 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-17-170?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"}}},"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_49OKGSETV5YFFbHuBBRLy","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":"Generates an equal-width histogram and IQR-based outlier flags for up to 200 tree canopy observation records across canopy_m2 and plot_m2 fields.","exampleAgentPrompt":"I have 150 tree canopy observation records with canopy_m2 and plot_m2 values — can you run a histogram with 10 equal-width bins on the canopy_m2 field and flag any IQR outliers across all the rows?","exampleUseCases":[{"title":"Urban tree canopy audit outlier detection","prompt":"I've got canopy survey data for 120 plots across three station groups — can you bin the canopy_m2 values into 8 equal-width buckets and flag any rows that look like outliers based on IQR?"},{"title":"Plot size distribution analysis for green space planning","prompt":"Can you run a 5-bin equal-width histogram on the plot_m2 field from my 85 tree observation records and tell me which records fall outside the IQR range?"},{"title":"Multi-station canopy coverage comparison","prompt":"I have tree canopy data from two station groups collected over the past year, about 200 rows total — please generate a histogram with 12 bins on canopy_m2 and flag any IQR outliers so I can spot measurement anomalies."}],"resultDescription":"Returns two statistical reports for the supplied dataset: (1) an equal-width histogram showing bin ranges and record counts for the selected field (canopy_m2 or plot_m2), and (2) IQR-based outlier flags identifying which rows fall below Q1-1.5×IQR or above Q3+1.5×IQR. All analysis is performed locally on the submitted data with no external lookups.","failureModes":["Fewer than 1 row submitted — minimum 1 row required","More than 200 rows submitted — maxItems limit exceeded","Invalid date format (must match YYYY-MM-DD pattern)","bins value outside 1–30 range","Missing required fields (row_id, canopy_m2, plot_m2, date, station_group)","All canopy_m2 or plot_m2 values are null — insufficient data for histogram","Payment of 0.01 USDC not provided — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tree canopy or plot area observation records and need both a histogram distribution and IQR-based outlier detection in a single call. It is ideal for environmental monitoring workflows, urban forestry audits, or data quality checks where you want fast local statistical summaries without triggering any live lookups or external assessments. Prefer it over generic statistics APIs when your data specifically includes canopy_m2 and plot_m2 fields with station_group and date metadata.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:32.796Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-equal-width-histogram-iqr-outlier-flags-116061e6"}