ChainGPT Helps CertiK Turn Risk Data Into Easy Insights
The post ChainGPT Helps CertiK Turn Risk Data Into Easy Insights appeared on BitcoinEthereumNews.com.
CertiK now uses ChainGPT’s Web3 LLM to generate easy-to-read token risk summaries for over 10,000 crypto assets. ChainGPT’s SDK integration took under two weeks, making it easier for CertiK to simplify smart contract risks for everyday users. CertiK is now bringing a refresh to their Token Scan feature. Instead of just a list of technical data or a series of graphs, users can now read a summary of token risks in a more relaxed and easy-to-understand language. This is all made possible by a collaboration with ChainGPT, a Web3-based AI technology provider that is increasingly being talked about in the crypto community. Imagine you want to know if a token is vulnerable to being held by only one party, or if its contract can still be modified unilaterally. In the past, you had to dig through lines of code or at least understand smart contract audits. But now, just open Token Scan and you will be presented with a short summary that explains potential risks such as central control, vulnerability to reentrancy, or suspicious liquidity. All explained in a style that doesn’t make your head spin. CertiK just got an AI upgrade, powered by ChainGPT! Our Web3-LLM now powers @CertiK‘s Token Scan, turning complex on-chain risk data into clear, actionable summary, solving data overload for crypto users. Supported by a $20K grant. 🏆 Read more! ➡️ https://t.co/qlJXwQuZ4v pic.twitter.com/qjSnLeuNWy — ChainGPT (@Chain_GPT) June 17, 2025 ChainGPT’s AI is Not Only Good at Writing, But Also Fast The integration didn’t take long. It took CertiK less than two weeks to incorporate the ChainGPT Web3‑LLM SDK into their system. Usually, integrating AI into Web3 products takes much longer, especially if you have to build your own model from scratch. But because ChainGPT already provides ready-to-use tools, the CertiK team just needs to install…
Filed under: News - @ June 18, 2025 12:29 pm