{"uid":"cap_vsnK3n4n_aDUODyN8RiW9","slug":"return-restock-value-after-processing-rolling-mean-report-32dd0cc8","name":"Return Restock Value After Processing – Rolling Mean Report","description":"Return restock value after processing - Rolling mean report: Rolling mean report for Return restock value after processing. Supplied retail figures only, up to 200 records. No platform access, live rates or order execution. One of 25 new profiles across 20 shared operations in this industry. 0.01 USDC includes one bounded rolling mean report report.","url":"https://market.datapackvibe.com/x402/assistant-ar-retail-return-restock-contribution-rolling?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["returned_units","recoverable_percent","unit_inventory_value","processing_cost"],"properties":{"returned_units":{"type":"number","default":10,"maximum":1000000000000,"minimum":0},"processing_cost":{"type":"number","default":30,"maximum":1000000000000,"minimum":0},"recoverable_percent":{"type":"number","default":80,"maximum":100,"minimum":0},"unit_inventory_value":{"type":"number","default":20,"maximum":1000000000000,"minimum":0}},"additionalProperties":false},"default":[{"returned_units":10,"processing_cost":30,"recoverable_percent":80,"unit_inventory_value":20},{"returned_units":11,"processing_cost":33,"recoverable_percent":88,"unit_inventory_value":22},{"returned_units":10,"processing_cost":30,"recoverable_percent":80,"unit_inventory_value":20},{"returned_units":11,"processing_cost":33,"recoverable_percent":88,"unit_inventory_value":22}],"maxItems":200,"minItems":2},"window":{"type":"integer","default":2,"maximum":200,"minimum":2}}},"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_FpRW_0PCwwQ76qBOPbljo","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":"Computes a rolling mean of retail return restock contribution values (recoverable value minus processing cost) over a sliding window of up to 200 supplied rows.","exampleAgentPrompt":"Can you calculate the rolling mean restock contribution for my retail returns data? I have 4 rows — returned units [10, 11, 10, 11], recoverable percent [80, 88, 80, 88], unit inventory value [20, 22, 20, 22], and processing cost [30, 33, 30, 33] — using a window of 2.","exampleUseCases":[{"title":"Smoothing seasonal return spikes","prompt":"I've got weekly retail return figures for the last 8 weeks — returned units, recoverable percent, unit value, and processing cost for each week. Can you run a rolling mean with a window of 4 to smooth out the seasonal spikes in restock contribution?"},{"title":"Trend monitoring for return profitability","prompt":"We track return restock contributions daily — here are 20 days of data with returned units, recoverable percent, inventory value, and processing cost. Can you compute a rolling mean over a 5-day window so I can spot profitability trends?"},{"title":"Comparing recovery efficiency across periods","prompt":"Can you calculate the rolling mean restock value across these 10 retail return records — each has returned units, a recoverable percent, unit inventory value, and processing cost — using a window size of 3? I want to see if our recovery efficiency is improving."}],"resultDescription":"Returns a rolling mean report containing smoothed restock contribution values computed across the supplied retail return rows using the specified sliding window. Each output point represents the average net restock value (recoverable inventory value minus processing cost) over the window of preceding records.","failureModes":["Fewer than 2 rows supplied — minimum input requirement not met","Window size exceeds number of supplied rows — insufficient data for computation","Field values outside allowed ranges (e.g. recoverable_percent > 100, negative costs) — validation error","More than 200 rows supplied — exceeds maximum record limit","Missing required fields (returned_units, recoverable_percent, unit_inventory_value, processing_cost) in any row — schema validation failure"],"whenToPreferThis":"Choose this endpoint when you have pre-collected retail return records and need to smooth or trend-analyze the net restock contribution (recoverable value minus processing costs) using a rolling mean. It is best suited for offline batch analytics on supplied data rather than live rate lookups or order execution. Prefer this over raw summation endpoints when temporal smoothing or trend visibility is the goal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-12T00:56:10.456Z","isFirstParty":false,"canonicalSlug":"return-restock-value-after-processing-rolling-mean-report-32dd0cc8"}