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Abstraction: Aave Transactions

Aave is a decentralised non-custodial liquidity market protocol where users can participate as depositors or borrowers. Depositors provide liquidity to the market to earn a passive income, while borrowers are able to borrow in an over-collateralised (perpetually) or under-collateralised (one-block liquidity) fashion.




What we're looking for

Bounty Description

We are looking for a Dune Wizard to help us enrich Aave data abstractions on Ethereum, Polygon and Optimism! 

Build abstractions of all Aave borrowing and lending transactions, and interests. You need to include all the basic information on transactions, keeping in mind how analysts can use the abstractions to create analysis on borrowings, lending by various reverses/token, TVL, utilisation rate, wallet level analysis etc. 

You’ll be required to thoroughly test out the abstractions and results against high level Aave protocol numbers (e.g. can I use this abstraction to get the correct TVL overall and for each reserve?) and provide testing examples/queries.


  • Submit your Web3 data portfolio including but not limited to your Dune profile and past contributions to Dune abstractions here

  • EOI submission deadline: 1 weeks after the bounty release

  • We will then select the most eligible candidate for this bounty 

  • Abstraction submission deadline: 3 weeks after being selected

  • Prizes: A total prize of $5,000 equivalent of AAVE

We will review all submissions within one week following the end of the bounty program, and the selected candidate is expected to address PR comments/feedback until all abstractions are in a satisfactory form for merge. 

The prize will be paid after the successful merge of abstractions.

Criteria of Evaluation

We will evaluate the submission based on the following criteria:

  • Accuracy & Completeness: Data of the abstractions are accurate, trustworthy and complete.

  • Clarity & Readability: The query logic is simple, well documented and easy to read.

  • Efficiency: The queries are optimised for efficient performance.



33.37 AAVE



33.37 AAVE