{"uid":"cap_BrEIdOI1P1Kl_2UOfwwCb","slug":"margin-of-safety-weighted-result-mean-43e0b28e","name":"Margin of Safety – Weighted Result Mean","description":"Margin of safety - Weighted result mean: Calculate a mean of up to 200 results using supplied nonnegative weights; not a pooled accounting ratio. Metric: Margin of safety. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded weighted result mean report.","url":"https://market.datapackvibe.com/x402/assistant-finance-margin-safety-weighted-mean?utm_source=zero.xyz","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"rows":{"type":"array","items":{"type":"object","required":["actual_sales","break_even_sales"],"properties":{"actual_sales":{"type":"number","default":10000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period","exclusiveMinimum":0},"break_even_sales":{"type":"number","default":7000,"maximum":1000000000000,"minimum":0,"description":"Amount in a consistent supplied currency and reporting period"}},"additionalProperties":false},"default":[{"actual_sales":10000,"break_even_sales":7000},{"actual_sales":11000,"break_even_sales":7700.000000000001},{"actual_sales":10000,"break_even_sales":7000},{"actual_sales":11000,"break_even_sales":7700.000000000001}],"maxItems":200,"minItems":2},"weights":{"type":"array","items":{"type":"number","default":1,"maximum":1000000000000,"minimum":0},"default":[1,2,1,2],"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_Sxld2xfcms5vsFqXVQiIy","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":"Calculates a weighted mean of margin-of-safety values for up to 200 supplied actual-vs-break-even-sales data points using user-provided nonnegative weights.","exampleAgentPrompt":"Calculate the weighted mean margin of safety for these four sales records: [actual=10000, break-even=7000, weight=1], [actual=11000, break-even=7700, weight=2], [actual=10000, break-even=7000, weight=1], [actual=11000, break-even=7700, weight=2] — give me the formula, units, and any limitations in the result.","exampleUseCases":[{"title":"Weighted portfolio margin-of-safety summary","prompt":"I have five product lines with different actual and break-even sales figures; weight them by their revenue contribution — line A: actual 500000 / break-even 350000 / weight 5, line B: actual 300000 / break-even 240000 / weight 3, line C: actual 200000 / break-even 160000 / weight 2, line D: actual 450000 / break-even 310000 / weight 4, line E: actual 100000 / break-even 80000 / weight 1 — give me the weighted mean margin of safety with the formula and units."},{"title":"Quarterly trend weighted average","prompt":"Weight our last four quarters' margin of safety by their sales volumes: Q1 actual 800000 break-even 600000 weight 2, Q2 actual 900000 break-even 650000 weight 3, Q3 actual 950000 break-even 680000 weight 3, Q4 actual 1100000 break-even 750000 weight 4 — what is the weighted mean margin of safety across these quarters?"},{"title":"Multi-store retail margin safety aggregation","prompt":"I need a weighted mean margin of safety for eight retail stores where larger stores get higher weights: store figures range from actual sales 50000–200000 and break-even 35000–150000 with weights 1–4 per store — can you compute that and show me the formula and any limitations?"}],"resultDescription":"Returns a JSON object containing the computed weighted mean margin of safety value, the mathematical formula used, the units of the result, and a limitations section noting that only supplied figures are used (no live data, no financial advice, no trade execution).","failureModes":["Mismatched array lengths between rows and weights returns a validation error","Fewer than 2 rows supplied triggers a minItems constraint error","A weight or sales value below the allowed minimum (zero or negative) causes schema rejection","Actual sales of exactly zero is rejected due to exclusiveMinimum constraint","More than 200 rows supplied exceeds maxItems and is rejected","Non-numeric or missing required fields (actual_sales, break_even_sales) cause a schema validation error"],"whenToPreferThis":"Choose this endpoint when you need a single aggregated margin-of-safety metric across multiple data points and some observations should count more than others (e.g. larger divisions, more recent periods, higher revenue). It is ideal when you already have the actual and break-even sales figures and want a weighted summary rather than a simple arithmetic mean or a full distribution analysis. Use it over a plain-mean endpoint when observation importance differs, and over histogram or ranking endpoints when a single scalar summary is the desired output.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-23T02:01:55.601Z","isFirstParty":false,"canonicalSlug":"margin-of-safety-weighted-result-mean-43e0b28e"}