{"uid":"cap_Vl88yEd7vIDr9_eQ6jfO4","slug":"break-even-ad-cost-per-order-record-ranking-ee1b1622","name":"Break-even Ad Cost Per Order – Record Ranking","description":"Break-even ad cost per order - Record ranking: Record ranking for Break-even ad cost per order. 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 record ranking deliverable.","url":"https://market.datapackvibe.com/x402/assistant-sector-retail-break-even-ad-cost-rank?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["order_revenue","product_cost","fulfilment_cost","payment_fees","other_variable_costs"],"properties":{"payment_fees":{"type":"number","default":5,"maximum":1000000000000,"minimum":0},"product_cost":{"type":"number","default":40,"maximum":1000000000000,"minimum":0},"order_revenue":{"type":"number","default":100,"maximum":1000000000000,"minimum":0},"fulfilment_cost":{"type":"number","default":10,"maximum":1000000000000,"minimum":0},"other_variable_costs":{"type":"number","default":5,"maximum":1000000000000,"minimum":0}},"additionalProperties":false},"default":[{"payment_fees":5,"product_cost":40,"order_revenue":100,"fulfilment_cost":10,"other_variable_costs":5},{"payment_fees":5.5,"product_cost":44,"order_revenue":110.00000000000001,"fulfilment_cost":11,"other_variable_costs":5.5},{"payment_fees":5,"product_cost":40,"order_revenue":100,"fulfilment_cost":10,"other_variable_costs":5},{"payment_fees":5.5,"product_cost":44,"order_revenue":110.00000000000001,"fulfilment_cost":11,"other_variable_costs":5.5}],"maxItems":200,"minItems":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_RZZXNzep4DNJcBoloWow8","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":"Ranks multiple retail product scenarios by their break-even advertising cost per order, given user-supplied revenue and cost figures.","exampleAgentPrompt":"I have four product scenarios: a $100 order with $40 product cost, $10 fulfilment, $5 payment fees, $5 other costs; and a $110 order with $44 product cost, $11 fulfilment, $5.50 payment fees, $5.50 other costs — can you rank all four by their break-even ad cost per order so I know which has the most advertising headroom?","exampleUseCases":[{"title":"Ranking SKUs by ad spend capacity","prompt":"I sell three products — one at $80 revenue with $30 product cost, $8 fulfilment, $4 payment fees, $3 other costs; one at $120 with $50 product cost, $12 fulfilment, $6 fees, $5 other; and one at $60 with $22 product cost, $7 fulfilment, $3 fees, $2 other — rank them by how much I can spend on ads per order before breaking even."},{"title":"Comparing seasonal pricing scenarios","prompt":"Before our holiday campaign, I want to compare our standard $95 order (product cost $38, fulfilment $9, payment fees $4.75, other $4) against a bundled $150 order (product cost $60, fulfilment $14, payment fees $7.50, other $6) — rank these two scenarios by break-even ad cost per order so I know which to push hardest with paid ads."},{"title":"Evaluating channel cost impact on ad budget","prompt":"I'm modelling two fulfilment options for the same $100 product: in-house at $40 product cost, $8 fulfilment, $5 payment fees, $4 other costs; versus third-party at $40 product cost, $15 fulfilment, $5 fees, $4 other — rank them by break-even ad cost so I can see which channel leaves more room for advertising spend."}],"resultDescription":"Returns a ranked list of the submitted retail scenario rows ordered by their calculated break-even advertising cost per order (highest to lowest or ranked by index), allowing direct comparison of which scenario can support the most ad spend before hitting zero margin.","failureModes":["Fewer than 2 rows submitted — minimum array length not met","Negative or non-numeric cost values — schema validation failure","Revenue lower than combined costs resulting in negative break-even ad cost — valid but zero-or-negative ranking result","More than 200 rows submitted — maxItems constraint exceeded","Missing required fields (order_revenue, product_cost, fulfilment_cost, payment_fees, other_variable_costs) — 400 validation error"],"whenToPreferThis":"Use this endpoint when you need to compare and rank multiple retail product or order scenarios by their maximum allowable advertising spend per order — not just calculate a single break-even figure. It is ideal for batch scenario analysis (2–200 rows) where relative ranking matters, such as choosing which SKU to prioritise in a paid acquisition campaign. Prefer it over single-record calculation endpoints when comparative ordering across scenarios is the goal.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-18T00:58:33.139Z","isFirstParty":false,"canonicalSlug":"break-even-ad-cost-per-order-record-ranking-ee1b1622"}