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Integrate sandwich‑attack prediction with DeFi

Existing approaches skew toward “post‑attack compensation” or “structures less prone to attack.” A complementary approach is to predict risk beforehand and warn users.

We propose a Sandwich Attack Prediction API integrated into Uniswap and other DeFi applications.

Idea overview​

  • When a user prepares a swap, the front‑end sends parameters to the API:
    • Which tokens and how much
    • Which smart contract/route
    • User’s slippage tolerance
  • The API analyzes mempool state and market liquidity and returns a 5‑level risk score for sandwich likelihood.

Flow (concept)​

  1. Before the user clicks “Swap,” the front‑end queries the API.
  2. The API returns risk (e.g., 1 = safe, 5 = very risky).
  3. If risk is high, the UI shows a warning and asks for confirmation.

Example:

  • Risk 1–2 → proceed normally
  • Risk 3 → show a warning (potential price manipulation)
  • Risk 4–5 → show a confirmation dialog before execution

User benefits​

  • Preventive measure: detect risk before executing to avoid losses and wasted gas.
  • Transparency: quantified risk is easier for newcomers to understand.
  • Easy integration: simple to add to existing DeFi UIs via API.

Value to DeFi projects​

  • Improves UX by giving users confidence at trade time.
  • Differentiates from other DEXs/aggregators.
  • Reduces attack losses and improves ecosystem trust.

Challenges​

  • Prediction accuracy is critical; false positives harm UX.
  • Mempool and market conditions change rapidly; real‑time analysis is required.
  • Private mempools and Flashbots‑routed flow are hard to observe externally.

Summary​

“Sandwich‑attack prediction × DeFi integration” adds a proactive layer to avoid attacks. Alongside insurance and structural (non‑AMM) designs, it is a third approach that can meaningfully improve UX.