The slippage envelope
A swap can execute between its quote and minimum received before reverting. That difference is value exposed to all adverse execution causes, including reserve changes and potential MEV.
Measure the hard value exposed inside a swap's slippage tolerance without predicting an attack.
Who this is for: Someone who already knows how a sandwich works. It measures what your slippage setting puts at risk, not how likely anyone is to take it.
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Your exposure will appear here
How this calculation works — the formula, its inputs, what it assumes, and what it does not establish.
Measure how much quoted output and USD value sits inside a swap's slippage tolerance. Compare transparent stress usage of that envelope without claiming that a sandwich attack occurred or will occur.
A swap can execute between its quote and minimum received before reverting. That difference is value exposed to all adverse execution causes, including reserve changes and potential MEV.
The selected envelope-use scenario is an illustration of how much tolerance is consumed. It is not an attack probability, observed bot activity or a prediction of future loss.
Private submission or wallet protection can reduce public-mempool exposure on supported routes, but availability and guarantees vary by chain, wallet, RPC and transaction path.
Measure the value exposed inside a swap's slippage envelope without claiming an observed or predicted attack. MoonMath labels the data basis for this tool as Observed, Formula, Heuristic.
No. The MEV & Sandwich Exposure Estimator is an educational scenario tool, not financial advice, a recommendation, or a forecast. Provider coverage, liquidity, routing, fees and market conditions can make real outcomes materially different.
No. MoonMath can calculate the hard value exposed by your slippage setting and illustrate bounded adverse execution. Exact future ordering and MEV loss are not known from a quote.