{"uid":"cap_q4tHk1R87MPI-DJa9vuOB","slug":"uv-layouts-data-quality-iqr-outlier-flags-missing-value-fill-191ade60","name":"UV Layouts Data Quality: IQR Outlier Flags + Missing Value Fill","description":"UV layouts — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied uv layouts records (island_count, occupied_percent). 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-creative-06-180?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","asset_group","date","island_count","occupied_percent"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"asset_group":{"type":"string","default":"","maxLength":80},"island_count":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"occupied_percent":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","asset_group":"group-a","island_count":10,"occupied_percent":1},{"date":"2026-10-02","row_id":"row-2","asset_group":"group-b","island_count":20,"occupied_percent":2},{"date":"2026-10-03","row_id":"row-3","asset_group":"group-a","island_count":15,"occupied_percent":3},{"date":"2026-10-04","row_id":"row-4","asset_group":"group-b","island_count":30,"occupied_percent":4}],"maxItems":200,"minItems":1},"field":{"enum":["island_count","occupied_percent"],"type":"string","default":"island_count"},"method":{"enum":["zero","mean","median"],"type":"string","default":"median"}}},"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_oo0N3Hk0KkBxYOa42vRzy","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 explicit missing-value imputation on up to 200 rows of UV layout records containing island_count and occupied_percent fields.","exampleAgentPrompt":"Check my UV layout data for outliers and fill any missing island_count values using the median — here are my rows with row_id, asset_group, date, island_count, and occupied_percent for up to 50 records.","exampleUseCases":[{"title":"Outlier detection in island counts","prompt":"I have 80 rows of UV layout data with island_count and occupied_percent by date and asset group — flag any IQR outliers in the island_count field for me."},{"title":"Median imputation for missing occupancy","prompt":"Some of my UV layout rows are missing occupied_percent values. Can you fill those gaps using median imputation across my dataset of about 120 records?"},{"title":"Data quality audit for UV asset groups","prompt":"Run both IQR outlier flagging and median missing-value fill on my UV layout records — I have 150 rows covering multiple asset groups and I want to catch data issues in the island_count column."}],"resultDescription":"Returns two analytical reports for the supplied UV layout rows: (1) IQR outlier flags identifying which rows contain statistically extreme values in the chosen field, and (2) a dataset with missing values explicitly filled using the chosen method (zero, mean, or median). Both reports operate on up to 200 rows using local analytical engines with no external lookups.","failureModes":["Exceeding 200 rows returns a validation error","Missing required fields (row_id, date, island_count, occupied_percent) causes rejection","Invalid date format (not YYYY-MM-DD) fails schema validation","Numeric values outside the allowed range (-1e12 to 1e12) are rejected","Unsupported fill method value fails enum validation","Empty rows array returns an error"],"whenToPreferThis":"Choose this endpoint when you need both IQR-based outlier detection and missing-value imputation on UV layout data (island_count, occupied_percent) in a single low-cost call. It is purpose-built for UV layout domain records and bundles two analytical reports for $0.01 USDC, making it efficient for small-to-medium dataset quality checks up to 200 rows without requiring any external data sources or live lookups.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-27T06:54:16.567Z","isFirstParty":false,"canonicalSlug":"uv-layouts-data-quality-iqr-outlier-flags-missing-value-fill-191ade60"}