{"uid":"cap_HwARQ7EUx6ZZ8ms9IORD8","slug":"coordinate-quality-checks-iqr-outlier-flags-two-measure-correlation-0035e541","name":"Coordinate Quality Checks — IQR Outlier Flags + Two-Measure Correlation","description":"Coordinate quality checks — IQR outlier flags + Two-measure correlation: IQR outlier flags + 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-23-176?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_IDmQdBVVXOlKUrBy64u7q","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 IQR-based outlier detection and two-measure correlation analysis on coordinate quality check records (checked_points, flagged_points) for up to 200 rows, returning two analytical reports.","exampleAgentPrompt":"I have coordinate quality check records for several station groups — can you run IQR outlier detection and a two-measure correlation analysis on my checked_points and flagged_points data? I have about 50 rows covering dates from 2026-10-01 through 2026-11-20 across groups A and B.","exampleUseCases":[{"title":"Station anomaly detection for QA team","prompt":"We have 120 rows of daily coordinate quality checks across our monitoring stations — can you flag any outlier rows in the flagged_points column using IQR analysis and also show me how checked_points and flagged_points correlate with each other?"},{"title":"Audit coordinate validation pipeline","prompt":"I need to audit our coordinate validation pipeline — run IQR outlier detection and a correlation report on this dataset of checked_points and flagged_points records, grouped by station_group and date, for about 80 rows."},{"title":"Weekly QA review for geospatial data","prompt":"For our weekly QA review, please analyze these 60 coordinate quality check records — flag any outliers in the checked_points field and show the two-measure correlation between checked_points and flagged_points across all station groups."}],"resultDescription":"Two analytical reports: (1) IQR outlier flags identifying which rows have checked_points or flagged_points values outside the interquartile range, and (2) a two-measure correlation report quantifying the statistical relationship between checked_points and flagged_points across the supplied rows.","failureModes":["Fewer than 1 row submitted — request rejected","More than 200 rows submitted — exceeds maximum, request rejected","Missing required fields (row_id, date, checked_points, flagged_points) — validation error","Invalid date format (not YYYY-MM-DD) — schema validation failure","All null values in a measure column — correlation or IQR computation may be undefined","row_id values exceeding 80 characters — schema rejection","Payment of 0.01 USDC not completed — request blocked by x402 paywall"],"whenToPreferThis":"Choose this endpoint when you need fast, offline statistical analysis (IQR outlier detection + correlation) on coordinate quality check records without any live geospatial lookup, prediction, or external data enrichment. It is ideal for QA pipelines processing up to 200 rows of station-level checkpoint data where you want two analytical reports in a single paid call.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-26T18:49:59.047Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-iqr-outlier-flags-two-measure-correlation-0035e541"}