{"uid":"cap_HZk94wSx5WPIfzIs9z1nz","slug":"warehouse-movements-missing-value-fill-6b8a4f01","name":"Warehouse Movements Missing-Value Fill","description":"Warehouse movements - Explicit missing-value fill: Explicit missing-value fill 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 explicit missing-value fill deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-analytics-warehouse-movements-fill-missing?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"},"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_g0Y_dpA8OLomIHU08X_yq","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":"Fills missing numeric values in warehouse movement records (received_units or dispatched_units) using zero, mean, or median imputation across up to 200 typed rows.","exampleAgentPrompt":"I have a batch of warehouse movement records where some received_units values are null — can you fill those missing values using median imputation across up to 200 rows covering locations like group-a and group-b with dates in 2026?","exampleUseCases":[{"title":"Clean inventory data before reporting","prompt":"I'm preparing a warehouse movement report and some received_units are missing — can you fill those nulls using the median across my 150 rows so the dataset is complete?"},{"title":"Zero-fill missing dispatched units for reconciliation","prompt":"I need to reconcile warehouse dispatches but some dispatched_units entries are null — fill them with zero so I can calculate totals across all locations."},{"title":"Mean imputation for analytics pipeline","prompt":"Before I run my warehouse analytics, can you fill any missing dispatched_units in my 80-row dataset using mean imputation so I don't get errors downstream?"}],"resultDescription":"Returns the warehouse movement records with missing numeric values in the specified field (received_units or dispatched_units) filled using the chosen method (zero, mean, or median). Each row retains its original row_id, location, and date, with null values replaced by the computed fill value.","failureModes":["Empty rows array or exceeding 200 rows returns a validation error","Invalid date format (not YYYY-MM-DD) causes row rejection","Field enum value outside received_units/dispatched_units returns a schema error","Method enum value outside zero/mean/median returns a schema error","All values already non-null results in no changes but successful response","Numeric values outside ±1,000,000,000,000 boundary trigger validation failure"],"whenToPreferThis":"Choose this endpoint when you have structured warehouse movement records with null numeric unit values and need a fast, local imputation (zero, mean, or median) without requiring external ML models or forecasting services. Ideal for pre-processing pipelines before analytics or reporting where data completeness is required but records are small enough to fit within the 200-row limit.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T19:14:08.182Z","isFirstParty":false,"canonicalSlug":"warehouse-movements-missing-value-fill-6b8a4f01"}