{"uid":"cap_EEkMmwV0jfiLG2j16UAOQ","slug":"warehouse-bins-string-normalisation-and-iqr-outlier-flags-4146e9ed","name":"Warehouse Bins String Normalisation and IQR Outlier Flags","description":"Warehouse bins — String normalisation + IQR outlier flags: String normalisation + IQR outlier flags for supplied warehouse bins records (occupied_volume, available_volume). 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-retail-13-032?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","occupied_volume","available_volume"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"store_group":{"type":"string","default":"","maxLength":80},"occupied_volume":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"available_volume":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","occupied_volume":10,"available_volume":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","occupied_volume":20,"available_volume":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","occupied_volume":15,"available_volume":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","occupied_volume":30,"available_volume":4}],"maxItems":200,"minItems":1},"field":{"enum":["occupied_volume","available_volume"],"type":"string","default":"occupied_volume"}}},"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_8mJgppnUGRopCZAEoPa5D","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":"Normalises store_group strings and flags IQR-based outliers in occupied_volume and available_volume fields for up to 200 warehouse bin records, producing two analytical reports per call.","exampleAgentPrompt":"I've got up to 200 rows of warehouse bin records with row IDs, store groups, dates, and occupied_volume plus available_volume figures — can you normalise the store group strings and flag any IQR outliers in the occupied_volume column across all rows?","exampleUseCases":[{"title":"Flagging anomalous bin fill levels","prompt":"Here are 150 warehouse bin records with occupied_volume and available_volume for October — can you normalise the store_group labels and flag any IQR outliers in occupied_volume so I can spot bins with abnormal fill levels?"},{"title":"Data quality check before reporting","prompt":"Before I send this warehouse dataset to finance, can you run string normalisation on the store_group field and check available_volume for statistical outliers using IQR across these 80 bin records?"},{"title":"Retail DC capacity anomaly review","prompt":"I have bin-level records across two distribution centre groups — dates range from 2026-10-01 to 2026-10-31, up to 200 rows — please normalise the store_group strings and give me IQR outlier flags on the occupied_volume figures."}],"resultDescription":"Two analytical reports per call: one covering string normalisation results for the store_group field (cleaned/standardised values), and one covering IQR-based outlier flags for the selected numeric field (occupied_volume or available_volume), indicating which rows fall outside the interquartile range bounds.","failureModes":["Payload exceeds 200 rows — request rejected with validation error","Missing required fields (row_id, date, occupied_volume, available_volume) — schema validation failure","Date field not in YYYY-MM-DD format — pattern validation error","Numeric values outside ±1,000,000,000,000 range — schema rejection","Insufficient variance in numeric data may produce no outlier flags","Empty rows array — minItems constraint violation"],"whenToPreferThis":"Choose this endpoint when you have warehouse bin records (up to 200 rows) that need both string normalisation on categorical identifiers and IQR-based outlier detection on volume metrics in a single low-cost call. It is especially suited for pre-reporting data quality pipelines, inventory anomaly screening, or retail logistics dashboards where both cleaning and statistical flagging are needed together without external lookups or predictions.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-05T00:40:41.220Z","isFirstParty":false,"canonicalSlug":"warehouse-bins-string-normalisation-and-iqr-outlier-flags-4146e9ed"}