{"uid":"cap_zQ7dlabMd5IzMZv37uF_R","slug":"coordinate-quality-checks-record-quality-audit-adjacent-row-changes-41c1efd0","name":"Coordinate Quality Checks — Record Quality Audit + Adjacent Row Changes","description":"Coordinate quality checks — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes for supplied coordinate quality checks records (checked_points, flagged_points). 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-23-011?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","station_group","date","checked_points","flagged_points"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"station_group":{"type":"string","default":"","maxLength":80},"checked_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"flagged_points":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","station_group":"group-a","checked_points":10,"flagged_points":1},{"date":"2026-10-02","row_id":"row-2","station_group":"group-b","checked_points":20,"flagged_points":2},{"date":"2026-10-03","row_id":"row-3","station_group":"group-a","checked_points":15,"flagged_points":3},{"date":"2026-10-04","row_id":"row-4","station_group":"group-b","checked_points":30,"flagged_points":4}],"maxItems":200,"minItems":1},"field":{"enum":["checked_points","flagged_points"],"type":"string","default":"checked_points"}}},"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_t1pXlw0RBTdAj8qnd_a68","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 two local analytical reports (record quality audit and adjacent row changes) on up to 200 rows of coordinate quality check data (checked_points, flagged_points)","exampleAgentPrompt":"Can you run a record quality audit and adjacent row changes report on this batch of coordinate quality check records for station groups A and B from October 2026 — I have checked_points and flagged_points for each row?","exampleUseCases":[{"title":"Weather station data integrity check","prompt":"I have 150 rows of coordinate quality check records for our weather stations from last month — can you audit them for data quality issues and flag any suspicious jumps between consecutive rows in the checked_points field?"},{"title":"Flagged points anomaly detection","prompt":"Run a quality audit on my flagged_points data for station group alpha across the past quarter, and show me where adjacent rows have unusual changes — I want to catch any data entry errors before publishing."},{"title":"Pre-analysis data validation for QC pipeline","prompt":"Before I run my main analysis, can you do a record quality audit and adjacent row changes check on these 80 coordinate quality check rows, focusing on the flagged_points column, and tell me which rows look problematic?"}],"resultDescription":"Returns two independent analytical reports for the submitted rows: (1) a record quality audit identifying data issues, nulls, and anomalies per row, and (2) an adjacent row changes report showing value differences between consecutive rows — all computed locally without any external lookup or live data fetch.","failureModes":["More than 200 rows submitted — request rejected due to maxItems limit","Missing required fields (row_id, date, checked_points, flagged_points) cause validation errors","Date field not matching YYYY-MM-DD pattern causes schema rejection","Invalid field enum value (not 'checked_points' or 'flagged_points') causes error","All-null checked_points or flagged_points may produce limited or empty audit output"],"whenToPreferThis":"Choose this endpoint when you have batches of up to 200 coordinate quality check records with checked_points and flagged_points and need two simultaneous analytical reports — a quality audit and adjacent row difference analysis — without requiring live data lookups, external APIs, or professional assessments. Ideal for pre-processing pipelines validating geospatial or weather station QC data before downstream analysis.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-22T12:44:59.387Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-record-quality-audit-adjacent-row-changes-41c1efd0"}