{"uid":"cap_9PaKh7Zvl6wvl6PaH0CZw","slug":"field-survey-coverage-exact-row-deduplication-numeric-row-ordering-a2dbe68b","name":"Field Survey Coverage — Exact Row Deduplication + Numeric Row Ordering","description":"Field survey coverage — Exact row deduplication + Numeric row ordering: Exact row deduplication + Numeric row ordering for supplied field survey coverage records (surveyed_m2, target_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-22-042?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"}}},"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_L3Aa-RQl3GxLhmoc7_rBs","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":"Deduplicates and numerically orders field survey coverage records (surveyed_m2, target_m2) for up to 200 rows, returning 2 analytical reports.","exampleAgentPrompt":"Can you deduplicate and numerically order these field survey coverage records — I have rows with row_id, station_group, date, surveyed_m2, and target_m2 values — and give me both analytical reports? I want to process the surveyed_m2 field across up to 200 rows.","exampleUseCases":[{"title":"Clean ecological survey coverage dataset","prompt":"I have a batch of field survey records from multiple station groups with dates and surveyed_m2 values — can you deduplicate the exact duplicates and sort them numerically so I get two clean reports back?"},{"title":"Audit target vs surveyed area data","prompt":"Can you take my field survey coverage rows — each has a row_id, station_group, date, surveyed_m2, and target_m2 — remove any exact duplicate rows, order them numerically, and generate the two analytical reports for the target_m2 field?"},{"title":"Prepare survey data for reporting pipeline","prompt":"Before I feed this into my reporting pipeline, can you deduplicate and numerically order these 150 field survey coverage records by surveyed_m2 and give me both output reports?"}],"resultDescription":"Two analytical reports covering: (1) exact duplicate rows identified and removed, and (2) records reordered by numeric row ordering — applied to the selected field (surveyed_m2 or target_m2) across up to 200 supplied field survey coverage rows. No external lookups or predictions are made; all analysis is local.","failureModes":["More than 200 rows submitted — request will be rejected due to maxItems limit","Missing required fields (row_id, station_group, date, surveyed_m2, or target_m2) cause validation errors","Invalid date format (not YYYY-MM-DD) triggers pattern validation failure","Empty rows array (minItems: 1 violated) returns an error","Numeric values out of allowed range (±1,000,000,000,000) cause schema rejection"],"whenToPreferThis":"Choose this endpoint when you need to clean and order field survey coverage records (with surveyed_m2 and target_m2 metrics) by removing exact duplicate rows and applying numeric ordering, and want two bundled analytical reports in a single low-cost call. Prefer this over generic deduplication tools when your data specifically involves station-group-based survey area measurements and you need structured report output without any live lookups or external data enrichment.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-25T12:33:18.579Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-exact-row-deduplication-numeric-row-ordering-a2dbe68b"}