A Cross-Chain Event-Driven Data Infrastructure for Aave Protocol Analytics and Applications

TL;DR

This paper presents a comprehensive, cross-chain event-driven data infrastructure for Aave V3, enabling detailed analysis of decentralized lending activities across six major EVM-compatible blockchains.

Contribution

It introduces the first standardized, multi-chain dataset of Aave V3 events, fully decoded and structured for research on DeFi lending dynamics and systemic risk.

Findings

Over 50 million structured event records collected

Enables analysis of capital flows and liquidation cascades

Supports future systemic risk research in DeFi

Abstract

Decentralized lending protocols, exemplified by Aave V3, have transformed financial intermediation by enabling permissionless, multi-chain borrowing and lending without intermediaries. Despite managing over $10 billion in total value locked, empirical research remains severely constrained by the lack of standardized, cross-chain event-level datasets. This paper introduces the first comprehensive, event-driven data infrastructure for Aave V3 spanning six major EVM-compatible chains (Ethereum, Arbitrum, Optimism, Polygon, Avalanche, and Base) from respective deployment blocks through October 2025. We collect and fully decode eight core event types -- Supply, Borrow, Withdraw, Repay, LiquidationCall, FlashLoan, ReserveDataUpdated, and MintedToTreasury -- producing over 50 million structured records enriched with block metadata and USD valuations. Using an open-source Python pipeline with dynamic batch sizing and automatic sharding (each file less than or equal to 1 million rows), we ensure strict chronological ordering and full reproducibility. The resulting publicly available dataset enables granular analysis of capital flows, interest rate dynamics, liquidation cascades, and cross-chain user behavior, providing a foundational resource for future studies on decentralized lending markets and systemic risk.