{"uid":"cap_Vl3H4GBZo98UTDuiFQV_U","slug":"coordinate-quality-checks-category-frequencies-iqr-outlier-flags-5d85e42b","name":"Coordinate Quality Checks — Category Frequencies + IQR Outlier Flags","description":"Coordinate quality checks — Category frequencies + IQR outlier flags: Category frequencies + IQR outlier flags 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-23-107?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_uYDCFzqTdxuTrvDRvp50a","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 coordinate quality check records (checked_points, flagged_points) to produce category frequency distributions and IQR-based outlier flags for up to 200 rows.","exampleAgentPrompt":"Can you analyze my coordinate quality check records for the last week — I have about 50 rows with station_group, date, checked_points, and flagged_points — and give me category frequency distributions plus IQR outlier flags for the checked_points field?","exampleUseCases":[{"title":"Detecting outlier stations in quality pipeline","prompt":"I have 120 rows of coordinate quality check records from multiple station groups in October 2026, each with checked_points and flagged_points. Can you flag any IQR outliers and give me a frequency breakdown of checked_points by station group?"},{"title":"Daily QA report on flagged coordinate data","prompt":"Here are today's coordinate quality check results across group-a and group-b — about 80 rows with date, checked_points, and flagged_points. Run category frequencies and IQR outlier detection on the flagged_points field for me."},{"title":"Comparing quality metrics across sensor groups","prompt":"I want to understand the distribution of checked_points across my station groups — can you compute category frequencies and flag any IQR-based outliers in this dataset of 60 coordinate quality check records?"}],"resultDescription":"Returns two reports for the supplied rows: (1) category frequency counts showing how checked_points or flagged_points values distribute across station groups, and (2) IQR-based outlier flags identifying which rows fall outside the interquartile range. Both reports are computed locally on the supplied data with no external lookups.","failureModes":["Fewer than 1 or more than 200 rows supplied — request rejected","Invalid date format (must match YYYY-MM-DD pattern) — validation error","Missing required fields (row_id, station_group, date, checked_points, flagged_points) — schema error","Null values in numeric fields may affect IQR calculation accuracy","Invalid field enum value (must be 'checked_points' or 'flagged_points') — rejected"],"whenToPreferThis":"Use this endpoint when you have up to 200 coordinate quality check records with checked_points and flagged_points fields and need both frequency distribution analysis and IQR outlier detection in a single low-cost call. Prefer this over general-purpose analytics when your data specifically follows the station_group + date + quality check schema and you want a structured two-report output without setting up a full analytics pipeline.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-30T19:11:47.940Z","isFirstParty":false,"canonicalSlug":"coordinate-quality-checks-category-frequencies-iqr-outlier-flags-5d85e42b"}