{"uid":"cap_79EhObusJTaDZ62BFIHzk","slug":"field-survey-coverage-analyzer-record-quality-audit-string-fcbdd78b","name":"Field Survey Coverage Analyzer — Record Quality Audit, String Normalisation & Adjacent Row Changes","description":"Field survey coverage — Record quality audit + String normalisation + Adjacent row changes: Record quality audit + String normalisation + Adjacent row changes 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-22-200?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_2goBjtg-N0qXiEoApoc9P","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 local analytical reports (record quality audit, string normalisation, and adjacent row changes) on up to 200 field survey coverage records containing surveyed_m2 and target_m2 values.","exampleAgentPrompt":"Can you run a record quality audit, string normalisation, and adjacent row changes analysis on my field survey coverage data? I have 4 rows — row-1 on 2026-10-01 with station_group 'group-a', surveyed_m2 of 10 and target_m2 of 1; row-2 on 2026-10-02 with 'group-b', 20 and 2; row-3 on 2026-10-03 with 'group-a', 15 and 3; row-4 on 2026-10-04 with 'group-b', 30 and 4 — and focus the analysis on the surveyed_m2 field.","exampleUseCases":[{"title":"Ecological survey data quality check","prompt":"I have 50 rows of field survey records from our ecological monitoring project — each has a date, station group, surveyed area in m2, and target area in m2. Can you run all three reports (record quality audit, string normalisation, adjacent row changes) on the surveyed_m2 field to flag any data issues before we submit the report?"},{"title":"Station group name inconsistency detection","prompt":"Our team entered station group names manually across 120 survey rows and I'm worried about typos and inconsistent casing. Can you run the string normalisation report on this dataset of field survey coverage records so I can see which station_group values need cleaning?"},{"title":"Adjacent row survey coverage change detection","prompt":"I want to spot sudden jumps or drops between consecutive daily survey readings for our target_m2 field. Can you run the adjacent row changes analysis on my 80-row field survey coverage dataset so I can flag any unusual day-to-day shifts?"}],"resultDescription":"Three independent analytical reports covering: (1) a record quality audit identifying malformed, missing, or suspicious values across the survey rows; (2) a string normalisation report highlighting inconsistencies or casing issues in station_group and other string fields; and (3) an adjacent row changes report showing value differences between consecutive rows for the selected field (surveyed_m2 or target_m2). All analysis is performed locally with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, station_group, date, surveyed_m2, target_m2) causes rejection","Invalid date format (not YYYY-MM-DD) triggers schema validation failure","Null values in surveyed_m2 or target_m2 may limit numeric analysis in affected reports","Payment failure or insufficient USDC balance prevents endpoint execution"],"whenToPreferThis":"Choose this endpoint when you have field survey coverage data (surveyed_m2, target_m2) in up to 200 rows and need three simultaneous local analytical reports — quality audit, string normalisation, and adjacent row change detection — without any external data lookups, predictions, or professional assessments. It is cost-effective at $0.01 USDC for all three reports and is ideal for pre-submission data validation, cleaning pipelines, or QA workflows on ecological, environmental, or geospatial survey datasets.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:34:51.003Z","isFirstParty":false,"canonicalSlug":"field-survey-coverage-analyzer-record-quality-audit-string-fcbdd78b"}