{"uid":"cap_K-npLPRD2N3OlqV8f7zzd","slug":"coordinate-quality-checks-adjacent-row-changes-two-measure-correlation-867b89d8","name":"Coordinate Quality Checks — Adjacent Row Changes + Two-Measure Correlation","description":"Coordinate quality checks — Adjacent row changes + Two-measure correlation: Adjacent row changes + Two-measure correlation 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-23-158?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_Q-PP2iHqZrTYjetMRHaYx","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":"Analyzes up to 200 rows of coordinate quality check data (checked_points, flagged_points) producing two local analytical reports: adjacent row change detection and two-measure correlation.","exampleAgentPrompt":"I have 50 rows of coordinate quality check records with checked_points and flagged_points per station group and date — can you run an adjacent row change analysis and a correlation report on the checked_points field for all of them?","exampleUseCases":[{"title":"Weather station QC trend detection","prompt":"I've got daily coordinate quality records from three weather station groups over the past month — each row has checked_points and flagged_points. Can you analyze the adjacent row changes and correlate the two measures so I can spot sudden quality drops?"},{"title":"Flagged point anomaly investigation","prompt":"Here are 120 rows of coordinate check data with date, station_group, checked_points, and flagged_points. Please run adjacent row change detection and a two-measure correlation on flagged_points to help me find where anomalies are clustering."},{"title":"Multi-group coordinate audit report","prompt":"I need a quality audit on this dataset of coordinate checks across groups A and B — 80 rows total with checked_points and flagged_points. Give me the adjacent row change report and the correlation between the two measures using the checked_points field."}],"resultDescription":"Two analytical reports derived from the supplied rows: (1) an adjacent row change report highlighting differences between consecutive entries in the selected measure, and (2) a two-measure correlation report showing the statistical relationship between checked_points and flagged_points — all computed locally on the submitted data, no external lookups.","failureModes":["Fewer than 1 row or more than 200 rows submitted — request rejected","Missing required fields (row_id, date, checked_points, flagged_points) — validation error","Date values not matching YYYY-MM-DD format — schema validation failure","null values in both numeric fields preventing correlation computation","field enum value not recognized — schema error"],"whenToPreferThis":"Choose this endpoint when you have tabular coordinate quality check data (checked_points and flagged_points) and need both an adjacent-row change analysis and a two-measure correlation in a single low-cost call. It is best suited for offline/batch analytical workflows on pre-collected station group data where no live lookup, prediction, or external data enrichment is needed.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T12:49:40.389Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-adjacent-row-changes-two-measure-correlation-867b89d8"}