SignalScore

In DeFi, users often execute swaps without understanding the risks involved, such as low liquidity, high volatility, or unfavorable pricing. SignalScore aims to improve this experience by introducing a lightweight risk intelligence layer that evaluates a transaction before it is sent on-chain.

The project provides a basic risk scoring engine that takes a swap input (token pair and amount), fetches on-chain price data, and calculates a simple risk score based on predefined heuristics. The output includes both a numeric score and a human-readable explanation to help users make informed decisions.

While the current version is an early prototype, the long-term vision is to integrate this system into wallets, DeFi frontends, or automated agents to enable safer and more transparent on-chain execution.

The goal of this submission was to validate the concept and core mechanics of DeFi risk assessment under hackathon constraints. The current prototype demonstrates the idea clearly, while future iterations will integrate deeper on-chain data, oracle feeds, and protocol-level hooks.

SignalScore is implemented as a simple JavaScript/TypeScript module with a minimal frontend demo.

The core logic calculates a risk score using: Trade size heuristics Price deviation from oracle data Price data is fetched from a public crypto price API as a stand-in for decentralized oracles The frontend allows users to input a trade amount and instantly see a risk score with explanations The system is intentionally simple to demonstrate the concept clearly within the hackathon timeframe

This submission focuses on demonstrating the idea and core mechanics rather than a full production-ready system.