{"uid":"cap_fa5nzwKb6YebCfYRPOVgQ","slug":"field-survey-coverage-analyzer-quality-audit-deduplication-interval-ca8990a9","name":"Field Survey Coverage Analyzer — Quality Audit, Deduplication & Interval Filter","description":"Field survey coverage — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied field survey coverage records (surveyed_m2, target_m2). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.","url":"https://market.datapackvibe.com/x402/assistant-ib26-weather-22-214?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","surveyed_m2","target_m2"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"target_m2":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"surveyed_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","target_m2":1,"surveyed_m2":10,"station_group":"group-a"},{"date":"2026-10-02","row_id":"row-2","target_m2":2,"surveyed_m2":20,"station_group":"group-b"},{"date":"2026-10-03","row_id":"row-3","target_m2":3,"surveyed_m2":15,"station_group":"group-a"},{"date":"2026-10-04","row_id":"row-4","target_m2":4,"surveyed_m2":30,"station_group":"group-b"}],"maxItems":200,"minItems":1},"field":{"enum":["surveyed_m2","target_m2"],"type":"string","default":"surveyed_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_A5B3sw5dhkku1ouEQH5cM","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":"Runs three analytical reports on field survey coverage data: record quality audit, exact row deduplication, and numeric interval filtering on surveyed_m2 or target_m2 values.","exampleAgentPrompt":"Can you audit my field survey coverage records for quality issues, remove any exact duplicates, and filter to only rows where surveyed_m2 is between 0 and 500? I have about 50 rows with fields: row_id, station_group, date, surveyed_m2, and target_m2.","exampleUseCases":[{"title":"Ecological survey data cleanup","prompt":"I have 120 field survey records with station_group, date, surveyed_m2, and target_m2. Can you run a quality audit on them, flag any exact duplicate rows, and filter to only records where surveyed_m2 falls between 50 and 2000?"},{"title":"Survey coverage completeness check","prompt":"Before I submit my habitat survey data, can you check the 80 rows for record quality problems like nulls or bad dates, deduplicate them, and show me which ones have target_m2 values between 100 and 10000?"},{"title":"Multi-station survey validation","prompt":"I've got survey coverage data from 5 station groups — about 150 rows total — and I need to audit the record quality, remove any exact duplicate entries, and filter by surveyed_m2 values between 0 and 750 before I run my analysis."}],"resultDescription":"Three independent reports covering: (1) a record quality audit flagging issues such as nulls, malformed dates, or out-of-range values; (2) an exact row deduplication report identifying and grouping identical records; and (3) a numeric interval filter report listing which rows have the selected field (surveyed_m2 or target_m2) within the specified minimum–maximum range. All reports are based purely on the supplied data with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) cause row-level rejection","Invalid date format (non YYYY-MM-DD) triggers quality audit flags","Minimum value greater than maximum value may produce empty interval filter results","Payment failure prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you need a bundled three-in-one analytical pass on field survey coverage data (quality audit + deduplication + numeric interval filtering) in a single call, especially when working with datasets up to 200 rows and you want results purely from supplied data with no external lookups or predictions. It is cost-effective at $0.01 for all three reports simultaneously.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T12:54:42.101Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-analyzer-quality-audit-deduplication-interval-ca8990a9"}