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Data platform and API for Aave

About

Aavescan is a data platform for Aave that shows live and historical lending data including deposit rates, borrow rates, total supplied and total borrows.

Aavescan was launched in 2021 and serves 5k+ monthly users worldwide with citations in research from Bloomberg, Columbia University, Forbes and Reuters.

Trusted by researchers, institutions, and media. View citations

Articles

Aavescan Dataset Guide
Guide to the Aavescan dataset for Aave historical data, CSV exports, interest rates, utilization, and market data analysis.
Calculating Interest Rates
Learn how to track onchain lending rates accurately through time for research and accounting purposes.
Aave Interest Rates History
Exploring major events in the history of Aave interest rates including the USDC depeg, ETH PoW fork, sUSDe looping and the rsETH liquidity crunch.
Simulating Interest Rates
Learn how to simulate onchain lending rates using an interest rate model.
DeFi Strategies
Learn how traders and investors use Aave for lending, leverage and liquidity management.

Citations

Aavescan has been cited in the following publications:

  • NYU Stern, Ethereum Foundation, University of Florida, Joel Hasbrouck, Julian Ma, Fahad Saleh, & Caspar Schwarz-Schilling (2026). Market Inefficiency in Cryptoasset Markets. Available on arXiv.
  • Bloomberg, Ryan Weeks and Suvashree Ghosh (2026) Crypto Firms Buoyed by Trump Get Rocked as Crucial Bill Delayed. Available on Bloomberg.
  • Plasma (2025) Aave & Plasma: The Global Credit Layer. Available on Plasma.
  • Bloomberg, Sidhartha Shukla (2025) Bitcoin Rebound Faces Risk of 'Bull Trap' Amid Macro. Available on Bloomberg.
  • Blockworks, Macauley Peterson (September 5, 2025) Euro stablecoin push runs into thin liquidity. Available on Blockworks.
  • Reuters, Medha Singh and Lisa Pauline Mattackal (2024) Cryptoverse: DeFi dream is still alive. Available on Reuters.
  • Forbes, Steve Larson (2023) Are DeFi's high yields on stablecoins worth the risk. Available on Forbes.
  • Spinoglio, F. (2025). A New Value Investment Formula for Turing Complete Blockchains with Proof of Stake Algorithm. Journal of New Finance, 3(2), Article 2. Available on JNF.
  • Ma, Y., Zeng, Y., & Zhang, A. L. (2023). Stablecoin Runs and the Centralization of Arbitrage. Available on columbia.edu.
  • Boneh, Y. (2024). Autonomous Money Supply Strategy Utilizing Control Theory. arXiv preprint arXiv:2407.13232. Available on arXiv.
  • Ledefiリサーチ事業部. (2024). 分散化されたステーブルコインを目指すGHO. Available on ledfi.co.jp.
  • Fidelity Digital Assets Research (2023). 2023 Look Ahead: Refocusing and Building on Digital Assets’ Core Principles. Available on fidelitydigitalassets.com.
  • Ye Li† and Simon Mayer‡ (September 16, 2025). Financial Intermediation with Fragile Seigniorage: A Dynamic Model of Stablecoin Issuers∗. Available on SSRN.
  • Erum Iftikhar, Wei Wei, & John Cartlidge (15 Jun 2025). Automated Risk Management Mechanisms in DeFi Lending Protocols: A Crosschain Comparative Analysis of Aave and Compound. Available on arXiv.

Methodology

Data for Aave is sourced directly from onchain Aave smart contracts including pool, oracle and data provider contracts. Historical values are verified using an archive node.

Incentives data from Merkl campaigns is sourced from merkl.xyz and reflected in live reserve APRs across Aavescan.

Historical snapshots, charts, exports and datasets do not include incentives. Please get in touch if your team needs historical incentive analysis.

Contact

Send an email to contact@aavescan.com

Disclaimer

Aavescan is provided for informational purposes only and does not constitute financial advice. Use the data at your own risk and verify critical information independently before making decisions.