Gap wrap

Bots steal millions via invisible sandwich attacks. GapWrap is your real-time defense. We visualize threats and calculate the exact slippage to stop them. Don't trade blind—get your vision back.

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Inspiration

DeFi is often swarmed by bots who steal millions via Sandwich Attacks. While wallets show price, they hide danger. We built GapWrap to be a radar for the mempool, making these invisible algorithmic attacks visible so everyday traders can dodge them.

What it does

GapWrap is a real-time defense dashboard for Uniswap traders:

  1. Attack Visualizer: Renders "Sandwich Attacks" on a live graph with red danger indicators.
  2. Slippage Engine: Calculates the exact slippage tolerance (e.g., 0.5% vs 3.0%) needed to stay safe based on volatility.
  3. Risk Score: A simple Green/Yellow/Red traffic light system for token safety.
  4. AI Assistant: A Groq-powered chatbot that explains threats and answers security questions instantly.

How we built it

  • Frontend: React + Recharts for the financial graphing and Framer Motion for fluid "danger" animations.
  • Backend: Python FastAPI handles the simulation logic and attack pattern generation.
  • AI: Integrated Groq (Llama-3) for lightning-fast, real-time responses.
  • Resilience: Built a hybrid engine that falls back to a local "Offline Mode" if APIs failed, ensuring the demo always works.

Challenges we ran into

  • Visualizing Speed: Real attacks happen in milliseconds. We had to tune our simulation to slow them down enough for humans to see without losing the "live" feel.
  • The "Zero" Problem: Charting libraries struggled with meme tokens worth fractions of a penny. We built custom formatters to handle the precision.
  • AI Guardrails: Our AI initially wanted to write poems. We had to engineer strict system prompts to keep it focused solely on crypto security.

Accomplishments that we're proud of

  • The "Demo Mode": We successfully visualized an abstract concept into a clear, red-alert graph animation that anyone can understand.
  • Speed: Switching to Groq made the AI assistant feel instantaneous, matching the high-speed vibe of the app.
  • Universal Design: The dashboard works for both stablecoins and volatile memecoins. ## What we learned
  • UX is Safety: Traders don't want raw data; they want a "Safe/Unsafe" verdict.
  • Simulation Realism: accurately model the price impact of a sandwich bot was harder than expected but crucial for the educational value.

What's next for Gap wrap

  • Live Mainnet Feed: Connection to Flashbots RPC to visualize real attacks on Ethereum as they occur.
  • Mobile App: Bringing mempool visibility to mobile traders.

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