{"uid":"cap_ZBoa2CWs6zwYCzELn7wEv","slug":"tree-canopy-observations-record-quality-audit-numeric-row-ordering-41a00360","name":"Tree Canopy Observations — Record Quality Audit & Numeric Row Ordering","description":"Tree canopy observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering 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-17-007?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_BjiQjr0Xlyg0Njid-zIvz","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":"Audits record quality and applies numeric row ordering to supplied tree canopy observation data (canopy_m2, plot_m2) for up to 200 rows, returning two independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and numeric row ordering on my tree canopy observations? I have 4 rows — row-1 (group-a, 2026-10-01, canopy_m2=10, plot_m2=1), row-2 (group-b, 2026-10-02, canopy_m2=20, plot_m2=2), row-3 (group-a, 2026-10-03, canopy_m2=15, plot_m2=3), row-4 (group-b, 2026-10-04, canopy_m2=30, plot_m2=4) — and order them by canopy_m2.","exampleUseCases":[{"title":"Canopy Survey Data Integrity Check","prompt":"I've collected 50 tree canopy plot measurements across two station groups and I want to check them for record quality issues — can you audit the canopy_m2 and plot_m2 values and also rank the rows by canopy_m2 for me?"},{"title":"Comparative Plot Size Ranking","prompt":"I need to rank my tree plot observations by plot_m2 and also get a quality audit on the records — here are 12 rows from my field survey across site-alpha and site-beta, dated from 2025-06-01 to 2025-06-12."},{"title":"Ecological Dataset Pre-Processing Validation","prompt":"Before I submit my tree canopy dataset to our reporting system, can you run a quality audit and numeric ordering on these 30 rows of canopy and plot measurements? Flag any bad records and order them by canopy_m2."}],"resultDescription":"Returns two independent analytical reports for the supplied rows: (1) a record quality audit identifying data issues, missing values, or anomalies in the canopy_m2 and plot_m2 fields, and (2) a numeric row ordering report ranking the rows by the selected field (canopy_m2 or plot_m2). All analysis is performed locally on the submitted data with no external lookups.","failureModes":["More than 200 rows submitted — endpoint rejects input exceeding maxItems limit","Missing required fields (row_id, date, canopy_m2, plot_m2, station_group) cause validation errors","Invalid date format (not YYYY-MM-DD) causes schema rejection","Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000) rejected","Payment not provided or insufficient USDC results in 402 error","Empty rows array (minItems: 1 violation) causes rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tree canopy observation records (with canopy_m2 and plot_m2 fields) and need both a quality audit and a numeric ordering report in a single low-cost call. Ideal for ecological field data pre-processing, QA pipelines, or before ingesting survey data into downstream systems. Not suitable for live remote sensing data retrieval, geospatial lookup, predictive modelling, or datasets larger than 200 rows.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:14.738Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-record-quality-audit-numeric-row-ordering-41a00360"}