Werracle enables instant AI decisions inside Ethereum smart contracts
Werracle: Sub-Cent Intra-Block AI Reflex Oracles and Flash-Loan Circuit Breakers for EVM Smart Contracts
Cryptography and SecurityArtificial IntelligenceDistributed, Parallel, and Cluster Computing
Summary
Running artificial intelligence directly inside Ethereum smart contracts is usually too slow and expensive, especially for quick financial actions. The authors developed Werracle, a tiny AI method that fits into a small data slot inside the Ethereum system and runs very fast and cheap. It uses math inspired by the Mandelbrot set to make decisions without storing large data. This helps smart contracts react instantly to market changes, like changing fees automatically on trades.
What this means in practice
- •For decentralized finance developers: Use Werracle to instantly adjust trading fees based on real-time orderbook conditions within a single blockchain transaction.
- •For blockchain security teams: Implement Werracle-based circuit breakers to prevent rapid flash-loan attacks that happen within a single block.
Authors
Volkan Dağlı, Zerrin Dağlı, Dağhan Dağlı
Abstract
Contemporary on-chain artificial intelligence (AI) encounters an intractable Von Neumann memory and latency wall. Storing static floating-point neural weight matrices inside Ethereum Virtual Machine (EVM) storage costs millions of gas, rendering direct on-chain inference impossible. While Zero-Knowledge Machine Learning (ZK-ML) offloads matrix tensor multiplications to off-chain provers, it introduces fatal constraints: 10 to 300 seconds of SNARK proving latency and 250,000 to 500,000 gas per proof verification. Because decentralized finance (DeFi) exploits - such as uncollateralized flash-loan attacks, predatory sandwich MEV, and toxic loss-versus-rebalancing (LVR) flow - occur atomically inside a single block, ZK-ML oracles cannot react in time. Here, we present Werracle, a production-grade, zero-storage on-chain AI decision oracle fitting inside a single 32-byte EVM storage slot (bytes32). Leveraging foundational procedural Mandelbrot escape dynamics (z_{n+1} = z_n^2 + c) established by Dagli et al. (arXiv:2609.25498), Werracle derives continuous non-linear decision hyperplanes from a 24-byte coordinate triplet Theta = (c_x, c_y, zoom). Implemented in pure Solidity bytecode using fixed-point Q16.16 arithmetic (WerrMath.sol), Werracle evaluates a 16-point Pareto micro-grid in only 21,438 gas (under 0.0005 USD on Layer-2 rollups like Base and Arbitrum) with sub-millisecond execution latency. We demonstrate real-world DeFi efficacy via WerracleFeeHook.sol, a Uniswap v4 dynamic swap fee governor that measures orderbook turbulence on-the-fly and atomically adjusts liquidity provider fees between 0.05% and 0.50%. The protocol is formally verified against a 1,000-test cryptographically sealed deterministic verification suite (100.0% pass rate) with telemetry permanently disabled, operating live on a dedicated EVM devnet sandbox (Chain ID 4242).