{"uid":"cap__gICzCoMCfrqExsggFv1l","slug":"warehouse-movements-iqr-outlier-flags-239b54f8","name":"Warehouse Movements IQR Outlier Flags","description":"Warehouse movements - IQR outlier flags: IQR outlier flags for Warehouse movements. Up to 200 supplied typed records. Local numeric and data-quality processing; no external enrichment or forecasting. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded iqr outlier flags deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-warehouse-movements-outliers?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","location","date","received_units","dispatched_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"location":{"type":"string","default":"","maxLength":80},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"dispatched_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","location":"group-a","received_units":10,"dispatched_units":1},{"date":"2026-10-02","row_id":"row-2","location":"group-b","received_units":20,"dispatched_units":2},{"date":"2026-10-03","row_id":"row-3","location":"group-a","received_units":15,"dispatched_units":3},{"date":"2026-10-04","row_id":"row-4","location":"group-b","received_units":30,"dispatched_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["received_units","dispatched_units"],"type":"string","default":"received_units"}}},"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_qyTUNLjxtgJkD3W_bzzXI","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":"Detects statistical outliers in warehouse received or dispatched unit records using the interquartile range (IQR) method, returning outlier flags per row.","exampleAgentPrompt":"Flag any IQR outliers in my warehouse movement records — I have 4 rows across group-a and group-b locations from 2026-10-01 to 2026-10-04, and I want to check the received_units field for anomalies.","exampleUseCases":[{"title":"Spike detection in receiving volumes","prompt":"I have daily receiving logs for my two distribution centers from last month — can you flag any received_units values that are statistical outliers using IQR so I can investigate unusual delivery spikes?"},{"title":"Data quality audit before reporting","prompt":"Before I finalize my monthly warehouse report, run an IQR outlier check on the dispatched_units field across all my location records so I can catch any data entry errors or anomalous figures."},{"title":"Multi-location inventory anomaly triage","prompt":"We track received and dispatched units across 5 warehouse locations daily — flag which rows have outlier received_units values using IQR so my ops team knows where to focus their investigation today."}],"resultDescription":"Returns a per-row set of IQR outlier flags indicating which records fall outside the interquartile range bounds for the selected field (received_units or dispatched_units), enabling identification of anomalous warehouse movement volumes. Up to 200 rows processed locally with no external enrichment.","failureModes":["Fewer than 1 row provided — minimum row count not met","More than 200 rows submitted — exceeds maxItems limit","Missing required fields (row_id, location, date, received_units, dispatched_units) — validation error","Invalid date format (must be YYYY-MM-DD) — pattern mismatch","Invalid field enum value — only received_units or dispatched_units accepted","All values identical — IQR is zero, outlier detection may return no flags or degenerate result","Payment of 0.01 USDC not supplied — x402 payment required"],"whenToPreferThis":"Choose this endpoint when you need fast, local IQR-based outlier detection on up to 200 warehouse movement records without sending data to external enrichment services. Ideal for data quality checks, anomaly triage, or pre-reporting validation of received or dispatched unit volumes across locations. Prefer over general analytics APIs when you specifically need IQR methodology on structured warehouse movement data at very low cost ($0.01 per call).","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:08:18.075Z","isFirstParty":false,"canonicalSlug":"warehouse-movements-iqr-outlier-flags-239b54f8"}