If you haven't worked through the earlier parts of this guide, check them out before continuing with this lesson.

In the last lesson, we learnt how to build queries on raw transaction data. Now, we'll dive into raw Logs and Traces data.

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I’m using the free version of ChatGPT, so the prompts in this guide will work for everyone 🙂

Understanding Traces

Every transaction triggers a number of small changes in the state of the blockchain (value transfers, instructions sent, .etc)

Information about the execution of these small actions can be retrieved as traces.

There are three types of trace actions. A single transaction can include any combination of these:

CREATE: Create a smart contract
SUICIDE: Destroy a smart contract
CALL: Transfer native token (eg. ETH, MATIC, BNB) or call a function on a smart contract

Dune stores trace information for every EVM chain.

Application 1: Contract Creation

Many protocols use a ‘factory’ contract to create new smart contracts. For example, on Uniswap, every liquidity pool (e.g. the ETH/USD trading pool) is a smart contract created by Uniswap’s factory.

Another example of a protocol that uses factories is Partybid. Partybid makes it easy to create DAOs that crowdfund, buy NFTs, and vote on treasury decisions. Every DAO created using Partybid has a smart contract deployed by Partybid’s factory.

We can use the Ethereum Traces table on Dune to find out how many DAO contracts have been created with Partybid.

(1) Give GPT the schema of the ethereum.traces table using this prompt:

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