{"uid":"cap_4a0hR7IQ_xvONmjEQsxgD","slug":"tree-canopy-observations-duplicate-key-report-explicit-missing-value-6e2c32ec","name":"Tree Canopy Observations — Duplicate Key Report + Explicit Missing-Value Fill","description":"Tree canopy observations — Duplicate key report + Explicit missing-value fill: Duplicate key report + Explicit missing-value fill 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-17-070?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"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_of_u0l86ev_0lwp77-7FT","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":"Analyzes up to 200 tree canopy observation rows to identify duplicate row keys and fill missing numeric values (canopy_m2 or plot_m2) using zero, mean, or median imputation.","exampleAgentPrompt":"I have 150 rows of tree canopy observations with row_id, station_group, date, canopy_m2, and plot_m2 — can you run a duplicate key check and fill any missing canopy_m2 values using median imputation?","exampleUseCases":[{"title":"Urban forestry data cleanup","prompt":"I've got canopy survey data from several station groups with some missing canopy_m2 readings and possibly repeated row IDs — can you run a duplicate key report and fill the missing canopy_m2 values using median imputation on all 120 rows?"},{"title":"Plot area null-filling for analysis","prompt":"My tree plot dataset has null plot_m2 entries and I need them filled with zeros before I can run calculations — can you do a duplicate key check and fill missing plot_m2 values with zero across my 80 observation rows?"},{"title":"Data quality audit before reporting","prompt":"Before I submit our quarterly canopy report, can you check these 200 tree canopy observation rows for duplicate row IDs and fill any missing canopy_m2 values using the mean so the dataset is complete?"}],"resultDescription":"Returns two independent analytical reports: (1) a duplicate key report identifying any row_id values that appear more than once across the submitted rows, and (2) an explicit missing-value fill report showing which canopy_m2 or plot_m2 values were null and what values were substituted using the chosen method (zero, mean, or median). Up to 200 rows processed per call.","failureModes":["Submitting more than 200 rows returns a validation error","Malformed date strings not matching YYYY-MM-DD pattern are rejected","Missing required fields (row_id, date, station_group) cause schema validation failure","Empty rows array (minItems: 1 violated) returns an error","Invalid method enum value (not zero/mean/median) causes rejection","Invalid field enum value (not canopy_m2/plot_m2) causes rejection","Payment failure or insufficient USDC balance returns 402"],"whenToPreferThis":"Choose this endpoint when you have tree canopy observation data (canopy_m2, plot_m2) that needs both duplicate row key detection and missing-value imputation in a single call without any external data lookup or live data sources. It is purpose-built for this specific schema (station_group, date, canopy_m2, plot_m2) and processes up to 200 rows with two reports per call at a fixed $0.01 USDC cost. Prefer this over generic data-cleaning services when your data matches the tree canopy observation structure exactly.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-24T12:56:56.136Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-duplicate-key-report-explicit-missing-value-6e2c32ec"}