This article presents an AI-powered, LLM-enabled data pipeline for smart contract analytics on the Sui blockchain. Using Snowflake, it curates structured event and object catalogues from 95k+ Move packages, enabling LLMs to perform on-chain data analysis at scale. The pipeline automates SQL generation for DeFi metrics like trading volume, funding rates, DAUs, and open interest, showcasing a scalable approach to blockchain data pipelines.

This article presents an AI-powered, LLM-enabled data pipeline for smart contract analytics on the Sui blockchain. Using Snowflake, it curates structured event and object catalogues from 95k+ Move packages, enabling LLMs to perform on-chain data analysis at scale. The pipeline automates SQL generation for DeFi metrics like trading volume, funding rates, DAUs, and open interest, showcasing a scalable approach to blockchain data pipelines.

TLDR:Pyth contract has a 26.5% tx failure rate (292,165 txs) across 1.1m transactions, resulting in 1.45 SOL in lost fees. The failure rate....

TLDR:Pyth contract has a 26.5% tx failure rate (292,165 txs) across 1.1m transactions, resulting in 1.45 SOL in lost fees. The failure rate....

defi, data, degen, mev, math

defi, data, degen, mev, math