{"uid":"cap_Ua-3uSKkNcWmJHaVm5CXr","slug":"replenishment-timing-analyzer-exact-row-deduplication-secondary-78069ee0","name":"Replenishment Timing Analyzer — Exact Row Deduplication + Secondary-Measure Weighted Mean","description":"Replenishment timing — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + Secondary-measure weighted mean for supplied replenishment timing records (lead_days, received_units). 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-12-051?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["row_id","store_group","date","lead_days","received_units"],"properties":{"date":{"type":"string","default":"","pattern":"^\\d{4}-\\d{2}-\\d{2}$","maxLength":10},"row_id":{"type":"string","default":"","maxLength":80,"minLength":1},"lead_days":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000},"store_group":{"type":"string","default":"","maxLength":80},"received_units":{"type":["number","null"],"maximum":1000000000000,"minimum":-1000000000000}},"additionalProperties":false},"default":[{"date":"2026-10-01","row_id":"row-1","lead_days":10,"store_group":"group-a","received_units":1},{"date":"2026-10-02","row_id":"row-2","lead_days":20,"store_group":"group-b","received_units":2},{"date":"2026-10-03","row_id":"row-3","lead_days":15,"store_group":"group-a","received_units":3},{"date":"2026-10-04","row_id":"row-4","lead_days":30,"store_group":"group-b","received_units":4}],"maxItems":200,"minItems":1},"field":{"enum":["lead_days","received_units"],"type":"string","default":"lead_days"}}},"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_RdZFFvDKVN4kPUCERbXCb","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":"Deduplicates replenishment timing records exactly by row and computes a weighted mean for a secondary measure (lead_days or received_units) across up to 200 rows, producing two analytical reports.","exampleAgentPrompt":"I have up to 200 replenishment timing rows with store group, date, lead_days, and received_units — can you deduplicate them exactly and compute the weighted mean for lead_days across all rows, giving me two analytical reports?","exampleUseCases":[{"title":"Retail lead time deduplication audit","prompt":"I've got 150 replenishment records for our retail stores with row IDs, store groups, dates, lead_days, and received_units — can you remove exact duplicate rows and give me a weighted mean of lead_days in two separate reports?"},{"title":"Warehouse received units weighted average","prompt":"Here are 80 replenishment timing entries for our warehouse groups — please deduplicate them exactly by row and calculate the weighted mean of received_units, and give me two summary reports."},{"title":"Supply chain timing data cleanup","prompt":"I need to clean up our replenishment timing dataset of about 120 rows — deduplicate any exact duplicate records and compute a weighted average for lead_days as the primary field, across all store groups."}],"resultDescription":"Two analytical reports for the supplied replenishment timing data: one covering exact row deduplication results (identifying and removing duplicate rows), and one providing the secondary-measure weighted mean (for either lead_days or received_units as specified). No external lookups or predictions are made; all analysis is performed locally on the submitted data.","failureModes":["More than 200 rows submitted — exceeds maximum row limit","Missing required fields (row_id, store_group, date, lead_days, or received_units) — validation error","Invalid date format (must match YYYY-MM-DD pattern) — schema validation failure","Invalid field enum value (must be 'lead_days' or 'received_units') — rejected input","All rows are duplicates leaving no unique records — may return empty deduplication result","Numeric values outside allowed range (-1e12 to 1e12) — schema rejection"],"whenToPreferThis":"Choose this endpoint when you have up to 200 replenishment timing records with lead_days and received_units and need both exact row deduplication and a weighted mean computation in a single low-cost call ($0.01 USDC). Ideal for retail or supply chain analytics pipelines that need offline, deterministic data cleaning and aggregation without external lookups or predictions. Prefer over general-purpose analytics tools when working specifically with store-group-level replenishment timing data and needing two bundled reports in one operation.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-29T13:16:19.225Z","isFirstParty":false,"canonicalSlug":"replenishment-timing-analyzer-exact-row-deduplication-secondary-78069ee0"}