Data

Guaraní Department, Misiones Province, Argentina

buidl /noves | live /utah | dms linktr.ee/czro

https://txshare.vercel.app/swellchain/0x4e103bcef646d7d7e0ad21833658fb553af2fd3d7d59146764e4b2c39b34efe7

Learn & build with web3 data: https://skool.com/data3

Bulk of it is simply the transaction classification e.g. Remove Liquidity.

Once our API knows the transaction is removing liquidity from a liquidity pool, then it just adds the token amounts.

In this case, the person did not completely exit their position, so no LP tokens were burned.

Seems useful! How do you generate the 'semantic' part (i.e. the explanation)?