{"uid":"cap_y52LB9jcB0JeLDHTLrmPg","slug":"tree-canopy-observations-adjacent-row-changes-equal-width-histogram-a82c1308","name":"Tree Canopy Observations — Adjacent Row Changes + Equal-Width Histogram","description":"Tree canopy observations — Adjacent row changes + Equal-width histogram: Adjacent row changes + 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-17-156?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_hBH35SxfG3LzEAI89D0Uf","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 adjacent row-to-row changes and an equal-width frequency histogram for tree canopy observation records (canopy_m2 and plot_m2) over up to 200 rows.","exampleAgentPrompt":"Run adjacent row change analysis and an equal-width histogram with 10 bins on my canopy_m2 field for these tree canopy observations: row-1 on 2026-10-01 in group-a has canopy_m2=150 and plot_m2=500, row-2 on 2026-10-02 in group-a has canopy_m2=180 and plot_m2=510, and row-3 on 2026-10-03 in group-b has canopy_m2=120 and plot_m2=490.","exampleUseCases":[{"title":"Urban forest survey change detection","prompt":"I have 50 tree canopy observation records from our city survey — can you compute the row-by-row changes in canopy_m2 and also bucket them into a 10-bin histogram so I can see the distribution?"},{"title":"Restoration project plot coverage audit","prompt":"We measured canopy_m2 and plot_m2 across 120 restoration plots; run adjacent row changes and a 5-bin equal-width histogram on canopy_m2 grouped by station_group so we can spot anomalies."},{"title":"Research dataset preprocessing","prompt":"Before I submit my tree canopy dataset to the journal, can you generate both the adjacent row difference report and a 20-bin histogram of the plot_m2 field for my 200 observation records?"}],"resultDescription":"Returns two analytical reports: (1) an adjacent row changes report showing the delta between consecutive canopy_m2 (or plot_m2) values row by row, and (2) an equal-width histogram breaking the chosen field into the specified number of bins with frequency counts — all computed locally on the supplied data, no external lookups.","failureModes":["More than 200 rows submitted — request will be rejected or truncated","Missing required fields (row_id, date, canopy_m2, plot_m2) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","bins value outside 1–30 range is rejected","Null numeric values may produce gaps or NaN deltas in the adjacent-row report","Payment of 0.01 USDC not attached or fails — request not processed"],"whenToPreferThis":"Choose this endpoint when you have raw tree canopy observation records (with canopy_m2 and plot_m2 fields) and need both a sequential change analysis and a distribution histogram in a single cheap call. Ideal for preprocessing environmental or forestry survey data before visualization or reporting. Not suitable if you need live canopy data fetching, geospatial lookups, predictive modeling, or professional ecological assessment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:51:11.086Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-adjacent-row-changes-equal-width-histogram-a82c1308"}