{"uid":"cap_qwHBDadq1g6Q3rZwbPjpo","slug":"tree-canopy-observations-record-quality-audit-numeric-interval-filter-8eb57731","name":"Tree Canopy Observations — Record Quality Audit + Numeric Interval Filter","description":"Tree canopy observations — Record quality audit + Numeric interval filter: Record quality audit + Numeric interval filter 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-17-008?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"},"maximum":{"type":"number","default":100,"maximum":1000000000000,"minimum":-1000000000000},"minimum":{"type":"number","default":0,"maximum":1000000000000,"minimum":-1000000000000}}},"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_2sEqH1iBRMge9RkT0822B","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 data quality and filters by numeric interval for up to 200 tree canopy observation records (canopy_m2, plot_m2), returning two independent analytical reports.","exampleAgentPrompt":"Can you audit the quality of my tree canopy observation records and filter the canopy_m2 field to only keep values between 0 and 500? Here are my rows: row-1 (group-a, 2024-06-01, canopy_m2=450, plot_m2=1200), row-2 (group-b, 2024-06-02, canopy_m2=-10, plot_m2=800), row-3 (group-a, 2024-06-03, canopy_m2=620, plot_m2=950).","exampleUseCases":[{"title":"Flagging anomalous canopy measurements","prompt":"I have 50 tree canopy observations from our urban survey. Can you run a quality audit and filter the canopy_m2 field to flag anything outside the range of 0 to 10000 square meters? Here's the dataset with row IDs, station groups, and dates."},{"title":"Validating plot size data for reporting","prompt":"Before I submit this quarterly forestry report, can you audit the quality of my plot_m2 records and filter out any values that fall outside 100 to 50000? I have 120 rows with station groups and dates I can provide."},{"title":"Cleaning canopy dataset for research","prompt":"I'm preparing a research dataset of 80 tree canopy observations and need two things: a record quality audit and a filter on canopy_m2 keeping only values between 500 and 200000. Can you process these rows and tell me which ones fail?"}],"resultDescription":"Returns two independent reports: (1) a record quality audit identifying missing, malformed, or suspect entries across the supplied rows, and (2) a numeric interval filter report listing which records fall within or outside the specified minimum/maximum range for the chosen field (canopy_m2 or plot_m2). No external data is fetched; all analysis is performed on the supplied rows only.","failureModes":["More than 200 rows submitted — exceeds maxItems limit","Missing required row fields (row_id, date, canopy_m2, plot_m2, station_group) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema rejection","Minimum value greater than maximum value — logically invalid interval","Non-numeric values for canopy_m2 or plot_m2 where nulls are not intended — type error","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have up to 200 tree canopy or plot observation records that need both a data quality audit and a numeric range filter in a single call, without requiring any live data lookup, external database access, or predictive modeling. It is especially useful for environmental researchers or urban forestry teams who want to validate field-collected canopy data before downstream analysis or reporting.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:34:07.636Z","isFirstParty":false,"canonicalSlug":"tree-canopy-observations-record-quality-audit-numeric-interval-filter-8eb57731"}