{"uid":"cap_lnOg1h31Qf_svvcrjNWCT","slug":"tree-canopy-observations-equal-width-histogram-secondary-measure-e8ce49e2","name":"Tree Canopy Observations — Equal-Width Histogram + Secondary-Measure Weighted Mean","description":"Tree canopy observations — Equal-width histogram + Secondary-measure weighted mean: Equal-width histogram + Secondary-measure weighted mean 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-17-172?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_KskcFgLJYZwUILQrjoXZA","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 an equal-width histogram and a secondary-measure weighted mean for up to 200 tree canopy observation records using local analytical engines.","exampleAgentPrompt":"Analyze my tree canopy observations — I have 120 records with canopy_m2 and plot_m2 fields — and give me an equal-width histogram of canopy_m2 using 8 bins plus a plot_m2-weighted mean of canopy_m2.","exampleUseCases":[{"title":"Urban tree canopy distribution analysis","prompt":"I have 150 urban tree survey records with canopy_m2 and plot_m2 measurements. Can you compute a 10-bin equal-width histogram of the canopy_m2 values and give me the plot-size-weighted mean canopy area?"},{"title":"Comparing canopy coverage across station groups","prompt":"Run a histogram with 5 bins on my canopy observation data — about 80 rows tagged with station groups — and calculate the weighted mean canopy_m2 weighted by plot_m2 so I can compare coverage across sites."},{"title":"Forestry plot survey summary report","prompt":"I've got 200 rows of forestry plot data with canopy_m2 and plot_m2 columns. Generate an equal-width histogram using 6 bins for the canopy_m2 field and include the secondary weighted mean report as well."}],"resultDescription":"Returns two analytical reports: (1) an equal-width histogram showing bin boundaries and counts for the selected field (canopy_m2 or plot_m2) across up to 200 rows, and (2) a secondary-measure weighted mean computed using the complementary field as weights — all derived locally from the supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, canopy_m2, plot_m2, date) cause validation errors","Invalid date format (non-YYYY-MM-DD strings) fail schema validation","Bins parameter outside 1–30 range causes rejection","All null values in the target field result in empty or undefined histogram output","Payment of 0.01 USDC not included causes 402 Payment Required response"],"whenToPreferThis":"Choose this endpoint when you need both a frequency distribution (histogram) and a weighted mean for tree canopy or plot area data in a single API call, especially when working with small-to-medium datasets (up to 200 rows) offline without needing live data lookup or external enrichment. It is cost-effective at $0.01 USDC for two reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:07.295Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-equal-width-histogram-secondary-measure-e8ce49e2"}