{"uid":"cap_LZUkgEhvf2uBJFlAeCP2j","slug":"reorder-point-sequential-input-change-attribution-a4e3aa4f","name":"Reorder Point Sequential Input-Change Attribution","description":"Reorder point - Sequential input-change attribution: Sequential input-change attribution for Reorder point. Supplied retail figures only. Local calculation and scenario analysis; no live inventory, account access, platform fee lookup or order execution. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded sequential input-change attribution deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-retail-reorder-point-waterfall?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"after":{"type":"object","default":{"lead_days":11,"safety_units":22,"average_daily_demand":5.5},"required":["average_daily_demand","lead_days","safety_units"],"properties":{"lead_days":{"type":"number","default":10,"maximum":1000000000000,"minimum":0},"safety_units":{"type":"number","default":20,"maximum":1000000000000,"minimum":0},"average_daily_demand":{"type":"number","default":5,"maximum":1000000000000,"minimum":0}},"additionalProperties":false},"before":{"type":"object","default":{"lead_days":10,"safety_units":20,"average_daily_demand":5},"required":["average_daily_demand","lead_days","safety_units"],"properties":{"lead_days":{"type":"number","default":10,"maximum":1000000000000,"minimum":0},"safety_units":{"type":"number","default":20,"maximum":1000000000000,"minimum":0},"average_daily_demand":{"type":"number","default":5,"maximum":1000000000000,"minimum":0}},"additionalProperties":false}}},"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_WHH7KHjZddPnHZVTsQKoQ","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":"Performs waterfall/sequential attribution analysis showing how changes in lead days, safety units, and average daily demand each contribute to a change in reorder point","exampleAgentPrompt":"My reorder point inputs changed — before it was 5 units/day demand, 10 lead days, and 20 safety units, and now it's 5.5 units/day, 11 lead days, and 22 safety units. Can you do a sequential waterfall attribution to show how much each change contributed to the shift in reorder point?","exampleUseCases":[{"title":"Lead time increase impact analysis","prompt":"Our supplier lead time jumped from 10 to 14 days, daily demand stayed at 6 units, and safety stock went from 18 to 18 units. Run a sequential attribution to show exactly how much of our reorder point increase is attributable to the lead time change versus any other factor."},{"title":"Demand surge contribution breakdown","prompt":"We had a demand surge — average daily demand went from 4 to 7 units, lead days stayed at 8, and safety units stayed at 15. I want a step-by-step waterfall showing how that demand change alone drove the shift in our reorder point."},{"title":"Multi-variable reorder point audit","prompt":"Our reorder point jumped and I need to explain why to the ops team. Before: 5 units/day demand, 12 lead days, 25 safety units. After: 6.5 units/day, 14 lead days, 30 safety units. Give me a sequential attribution waterfall so I can see which input was the biggest driver."}],"resultDescription":"A sequential (waterfall) attribution breakdown showing how each individual input change — lead days, safety units, and average daily demand — contributed to the overall change in reorder point between the before and after states, with each variable's marginal contribution quantified in order.","failureModes":["Missing required fields in before or after objects returns a validation error","Negative or non-numeric values for lead_days, safety_units, or average_daily_demand are rejected","Identical before and after inputs yield zero attribution across all variables","Extremely large values (near 1,000,000,000,000) may produce very large output numbers but are accepted"],"whenToPreferThis":"Choose this endpoint when you need to explain why a reorder point changed by decomposing the contribution of each input variable sequentially — ideal for audits, ops reporting, or scenario comparisons. Use it over a simple reorder point calculator when you have two states (before/after) and need to attribute the delta to specific drivers rather than just compute a single value.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-19T12:47:17.182Z","isFirstParty":false,"canonicalSlug":"reorder-point-sequential-input-change-attribution-a4e3aa4f"}