{"uid":"cap_pJIiW3NpeWg1rhJHuHRHC","slug":"returns-handling-secondary-measure-weighted-mean-explicit-missing-7f3b4e4c","name":"Returns Handling — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill","description":"Returns handling — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied returns handling records (returned_units, processing_minutes). 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-04-187?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","returned_units","processing_minutes"],"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},"returned_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"processing_minutes":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","store_group":"group-a","returned_units":10,"processing_minutes":1},{"date":"2026-10-02","row_id":"row-2","store_group":"group-b","returned_units":20,"processing_minutes":2},{"date":"2026-10-03","row_id":"row-3","store_group":"group-a","returned_units":15,"processing_minutes":3},{"date":"2026-10-04","row_id":"row-4","store_group":"group-b","returned_units":30,"processing_minutes":4}],"maxItems":200,"minItems":1},"field":{"enum":["returned_units","processing_minutes"],"type":"string","default":"returned_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_yEBpRIVNcqZmKbaM6QmUM","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 secondary-measure weighted mean and fills missing values for retail returns handling records (returned_units, processing_minutes) across up to 200 rows, producing 2 analytical reports.","exampleAgentPrompt":"Can you run a weighted mean analysis on my returns handling data — I have up to 50 rows with returned_units and processing_minutes per store group — and fill any missing returned_units values using the median method? I need both analytical reports.","exampleUseCases":[{"title":"Retail returns volume weighted analysis","prompt":"I have 120 rows of daily returns data across our store groups with some missing returned_units values — can you compute the secondary-measure weighted mean for returned_units and fill the gaps using mean imputation?"},{"title":"Processing time aggregation with null fill","prompt":"Can you analyze my returns processing_minutes records across 80 rows, fill any missing values using zero, and give me the weighted mean report?"},{"title":"Multi-store returns audit with imputation","prompt":"I need two reports on my returns handling data — about 150 rows across group-a and group-b — compute the weighted mean for returned_units and fill missing entries with the median."}],"resultDescription":"Two analytical reports per call: a secondary-measure weighted mean result and an explicit missing-value-filled dataset for the chosen field (returned_units or processing_minutes), computed locally over up to 200 supplied rows with no external lookups.","failureModes":["More than 200 rows submitted — request exceeds row limit","Invalid date format (must be YYYY-MM-DD) causes validation error","Missing required fields (row_id, store_group, date) cause schema rejection","Numeric values outside allowed range trigger validation failure","Invalid enum value for field or method parameter causes rejection"],"whenToPreferThis":"Choose this endpoint when you need offline, local statistical computation — specifically a secondary-measure weighted mean plus explicit missing-value fill — for retail returns handling data (returned_units, processing_minutes) with up to 200 rows and no need for live data lookup or external prediction. It delivers two bundled reports for a flat $0.01 USDC, making it cost-effective for small-to-medium batch analytics on returns records.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-11-02T18:39:31.786Z","isFirstParty":false,"canonicalSlug":"returns-handling-secondary-measure-weighted-mean-explicit-missing-7f3b4e4c"}