{"uid":"cap_BKlLXiLdek1VBHpzvvlA8","slug":"field-survey-coverage-record-quality-audit-and-adjacent-row-changes-7d8e3d90","name":"Field Survey Coverage Record Quality Audit and Adjacent Row Changes","description":"Field survey coverage — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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-22-011?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_U3o5UqZ8SkgFDOxArAlF0","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 detects adjacent row changes in field survey coverage data (surveyed_m2, target_m2) for up to 200 rows, returning 2 independent analytical reports.","exampleAgentPrompt":"Can you run a record quality audit and adjacent row change analysis on my field survey coverage data? I have rows with row_id, station_group, date, surveyed_m2, and target_m2 fields — here are up to 200 rows — and I want the analysis on the surveyed_m2 field.","exampleUseCases":[{"title":"Survey data quality check before reporting","prompt":"I need to audit these 150 field survey records for quality issues before submitting our quarterly report — each row has a row_id, station_group, date, surveyed_m2, and target_m2. Can you check the surveyed_m2 field for quality problems and flag any adjacent row changes?"},{"title":"Detecting measurement drift across survey stations","prompt":"We collected survey coverage data across multiple station groups over the past month. Can you analyze these records for adjacent row changes in the target_m2 field so I can spot where measurement drift or unexpected jumps happened between consecutive entries?"},{"title":"Data validation for ecological survey dataset","prompt":"Before we import this ecological field survey dataset into our system, can you run a record quality audit and check for adjacent row changes on the surveyed_m2 values? There are about 80 rows, each with a row_id, station_group, date, surveyed_m2, and target_m2."}],"resultDescription":"Two independent analytical reports per call: (1) a record quality audit identifying issues such as missing values, nulls, or out-of-range entries in the selected field (surveyed_m2 or target_m2), and (2) an adjacent row changes report flagging where consecutive rows show value changes. Results are computed locally from supplied data with no external lookups.","failureModes":["More than 200 rows submitted — request rejected or truncated","Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","Invalid field selector (not surveyed_m2 or target_m2) — enum rejection","All values null — audit report may return minimal or empty findings","Payment not included or insufficient — x402 payment required error"],"whenToPreferThis":"Choose this endpoint when you have tabular field survey coverage records with surveyed_m2 and target_m2 measurements and need two specific analytical outputs — a quality audit plus adjacent row change detection — in a single low-cost call. It is ideal for preprocessing survey datasets before aggregation or reporting, and when you do not need live data, predictions, or external lookups. Best suited for batches of up to 200 rows at $0.01 USDC per call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:11.568Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-record-quality-audit-and-adjacent-row-changes-7d8e3d90"}