{"uid":"cap_r_h_jX6PNwLdVS488CBMh","slug":"observed-unit-sales-velocity-sequential-input-change-attribution-958eebf8","name":"Observed Unit Sales Velocity – Sequential Input-Change Attribution","description":"Observed unit sales velocity - Sequential input-change attribution: Sequential input-change attribution for Observed unit sales velocity. 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 sequential input-change attribution report.","url":"https://market.datapackvibe.com/x402/assistant-ar-retail-unit-sales-velocity-waterfall?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"after":{"type":"object","default":{"sold_units":92.4,"observed_days":7.700000000000001},"required":["sold_units","observed_days"],"properties":{"sold_units":{"type":"number","default":84,"maximum":1000000000000,"minimum":0},"observed_days":{"type":"number","default":7,"maximum":1000000000000,"minimum":0,"exclusiveMinimum":0}},"additionalProperties":false},"before":{"type":"object","default":{"sold_units":84,"observed_days":7},"required":["sold_units","observed_days"],"properties":{"sold_units":{"type":"number","default":84,"maximum":1000000000000,"minimum":0},"observed_days":{"type":"number","default":7,"maximum":1000000000000,"minimum":0,"exclusiveMinimum":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_FA424XUWL4Za1u-wkNPzX","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 attribution analysis on retail unit sales velocity by comparing before/after sold_units and observed_days inputs to quantify the contribution of each input change.","exampleAgentPrompt":"I had 84 units sold over 7 days, and now I'm seeing 92.4 units sold over 7.7 days — can you run a sequential waterfall attribution to break down how much each of those input changes contributed to the shift in my unit sales velocity?","exampleUseCases":[{"title":"Weekly retail velocity shift analysis","prompt":"My store sold 120 units in 10 days last week, and this week we sold 145 units in 9 days — can you do a step-by-step attribution to show how much of the sales velocity change came from selling more units versus the shorter observation window?"},{"title":"Campaign impact decomposition","prompt":"Before our promo campaign we had 500 units sold over 30 days; after the campaign it was 620 units over 28 days. Can you run a sequential input-change attribution to tell me how much the campaign (unit lift) vs the shorter period each drove the velocity increase?"},{"title":"Inventory planning velocity check","prompt":"We observed 200 units sold over 14 days in January and 185 units sold over 12 days in February — run a waterfall attribution so I can see whether the velocity change is more from reduced sales or the shorter observation period."}],"resultDescription":"A bounded sequential input-change attribution report showing how each individual input change (sold_units and observed_days, applied in sequence) contributed to the overall shift in observed unit sales velocity, based on the supplied before and after retail figures — no live rates or order execution included.","failureModes":["observed_days must be greater than 0 (exclusiveMinimum); passing 0 will cause validation failure","Missing required fields in before or after objects returns an error","Values exceeding maximum (1e12) may be rejected","Non-numeric inputs for sold_units or observed_days will fail schema validation","Payload with extra properties rejected due to additionalProperties: false"],"whenToPreferThis":"Choose this endpoint when you need to understand *why* a unit sales velocity metric changed by decomposing the effect of each individual input change (sold units and observation window) sequentially — i.e., a waterfall/attribution breakdown rather than just a before/after delta. It is ideal for retail analysts or agents needing a structured attribution report from simple retail figures without requiring platform access or live data feeds.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-16T00:53:33.689Z","isFirstParty":false,"canonicalSlug":"observed-unit-sales-velocity-sequential-input-change-attribution-958eebf8"}