{"uid":"cap_0pVFmD1o9KVVM9h-a8VXe","slug":"tree-canopy-observations-numeric-distribution-adjacent-row-changes-c6816f6e","name":"Tree Canopy Observations — Numeric Distribution + Adjacent Row Changes","description":"Tree canopy observations — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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-17-077?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"}}},"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_aRGne5mJDTPNFu5O6mpb7","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 numeric distribution statistics and adjacent row change analysis for tree canopy observation records (canopy_m2, plot_m2) across up to 200 rows.","exampleAgentPrompt":"I have 50 tree canopy observation records with canopy_m2 and plot_m2 values across multiple station groups — can you run a numeric distribution report and adjacent row change analysis on the canopy_m2 field for me?","exampleUseCases":[{"title":"Urban tree canopy monitoring audit","prompt":"I've collected 120 canopy measurements from plots across our city monitoring stations — can you give me a numeric distribution and row-by-row change report on the canopy_m2 field so I can see how coverage varies and where big jumps occur?"},{"title":"Seasonal canopy survey comparison","prompt":"Here are 80 tree canopy records from our spring survey across three station groups, dated from April through June — run a numeric distribution and adjacent row changes analysis on the plot_m2 values so we can spot any anomalies."},{"title":"Reforestation plot progress tracking","prompt":"We have 150 sequential observations from our reforestation plots with canopy_m2 and plot_m2 logged — please compute the numeric distribution stats and flag any significant adjacent row changes in canopy_m2 so we can track growth consistency."}],"resultDescription":"Returns two analytical reports: (1) a numeric distribution report showing statistics such as min, max, mean, median, percentiles, and spread for the selected field (canopy_m2 or plot_m2); and (2) an adjacent row changes report showing sequential differences between consecutive rows for the selected field, enabling detection of sudden shifts or trends in canopy or plot measurements.","failureModes":["More than 200 rows submitted — endpoint rejects or truncates beyond limit","Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) cause validation error","Malformed date strings not matching YYYY-MM-DD pattern rejected","All-null values in the selected field may produce empty or degenerate statistics","Payment of 0.01 USDC not provided or declined — request fails with 402"],"whenToPreferThis":"Choose this endpoint when you have structured tree canopy observation records (up to 200 rows) and need both a statistical distribution summary and a sequential row-change analysis on canopy_m2 or plot_m2 in a single low-cost call. It is a self-contained local analytical engine with no external lookups, making it fast, deterministic, and privacy-safe for batch field survey data.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:50.169Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-numeric-distribution-adjacent-row-changes-c6816f6e"}