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MEV Sandwich Risk Analyzer
x402
MEV Sandwich Risk Analyzer is a paid API for AI agents from api.fadeandco.workers.dev, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-29).
Calculates the theoretical maximum sandwich-attack profit for a swap in a constant-product DEX pool, based on current reserves and slippage tolerance, and suggests an optimal slippage setting.
Price / call$0.003
Success—
StatusUnknown
How this service works
Theoretical sandwich-attack profit for a swap of a given size in one DEX pool, at the pool's current reserves (DexScreener) and the swap's slippage tolerance: the largest front-run that still lets the victim's trade succeed, and the profit it would give. Constant-product pools only, no mempool view, no competing bots: a worst-case estimate, not a prediction. Suggests a slippage tolerance.
Output
Returns a JSON object with: the DEX name, pool address, chain, trade side, victim input amount, victim's expected and minimum output, victim price impact percentage, maximum front-run size in token units, theoretical sandwich profit (in quote token units and as percentage of victim trade size), a risk label (e.g. NO_PROFITABLE_SANDWICH or a risk tier), the suggested slippage tolerance percentage, and metadata including the DexScreener source URL, computation model description, and timestamp.
Example use cases
Pre-trade MEV risk check
“I'm about to sell 50000 USDT in the Aerodrome pool 0x6cdcb1c4a4d1c3c6d054b27ac5b77e89eafb971d on Base with a 1% slippage tolerance — can you tell me how profitable a sandwich attack on my trade could be and what slippage I should actually use?”
Optimal slippage setting for large swap
“I want to buy 200 ETH worth of tokens on the Ethereum pair 0xabc123def456... using a 2% slippage setting — analyze the MEV sandwich risk and suggest a safer slippage tolerance for me.”
DeFi bot safety audit for a swap strategy
“My trading bot is about to execute a sell of 5000 tokens on the BSC pool 0xdeadbeef... with 0.5% slippage and a 0.25% pool fee — what's the theoretical maximum sandwich profit an attacker could extract, and is there any profitable attack possible?”
Technical details
Endpoint
GEThttps://api.fadeandco.workers.dev/api/agent-intel/mev-sandwich-risk-analyzer?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, theoretical worst-case MEV sandwich risk estimate for a constant-product AMM pool before executing a swap. It is ideal for DeFi agents, trading bots, or wallet UIs that want to warn users about front-running risk and recommend an appropriate slippage setting. It does not require mempool access or real-time bot competition data, so it gives a conservative upper-bound estimate rather than a prediction. Prefer this over general DeFi analytics when you specifically need sandwich attack profit calculations tied to current pool reserves from DexScreener.
Side effects
- Invalid or unrecognized pool address — API may return an error or empty reserves
- Pool not found on DexScreener for the given chain — returns error or null data
- Amount set to zero or negative — undefined behavior or error response
- Slippage tolerance outside 0-50% range — may return validation error
- Chain name not supported by DexScreener — lookup fails
- Non-constant-product pool (e.g. concentrated liquidity, stable swap) — model results will be inaccurate as computation assumes x*y=k
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"dex": "aerodrome",
"note": "Worst-case theory at current reserves. Real sandwiches face competition and gas costs.",
"pair": "0x6cdcb1c4a4d1c3c6d054b27ac5b77e89eafb971d",
"risk": "NO_PROFITABLE_SANDWICH",
"side": "sell",
"chain": "base",
"model": "constant-product x*y=k, worst case, no competing bots",
"source": "https://api.dexscreener.com/latest/dex/pairs/base/0x6cdcb1c4a4d1c3c6d054b27ac5b77e89eafb971d",
"checkedAt": "2026-10-23T09:35:18.707Z",
"victimAmount": 10000,
"victimMinOut": 7731.07539839,
"maxFrontRunSize": 37037.702559,
"theoreticalProfit": 0,
"victimExpectedOut": 7809.16706908,
"victimSlippagePct": 1,
"suggestedSlippagePct": 0.54,
"victimPriceImpactPct": 0.4355,
"profitAsPctOfVictimSize": 0
}
}Tags
x402
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