CertiK just shipped one of its most user-focused upgrades to date, and it runs on ChainGPT.
With support from a $20,000 grant through the ChainGPT Web3-AI Grant Program, CertiK integrated ChainGPT’s Web3 LLM SDK to transform how on-chain risk is communicated. CertiK now includes AI-generated ‘Token Scan’ summaries that explain key vulnerabilities like centralized control, transfer restrictions, or external call risks in clear, natural language.
Making On-Chain Risk Understandable
CertiK has long been a standard-setter in blockchain security, offering in-depth token analytics and contract audit data. But even the best insights often require technical fluency. Interpreting raw contract logic or audit findings is daunting for most users.
The ChainGPT integration addresses this challenge by reframing dense, code-level information into language that everyday users can understand and trust.
From SDK to Real-Time Summaries
Instead of building an in-house AI model, CertiK used ChainGPT’s Web3 LLM SDK and API to layer intelligence directly into their product. The model is trained specifically on blockchain semantics, making it especially good at parsing smart contracts and surfacing meaningful risk indicators. The integration was modular and fast, requiring minimal lift on CertiK’s side.
In less than two weeks, CertiK successfully embedded the ChainGPT Web3 LLM into its Skynet Token Scan dashboard — an interface trusted by hundreds of thousands of users. The dashboard now automatically translates complex smart contract insights into AI-generated summaries, clearly highlighting issues like liquidity risks, renounced ownership with retained control, reentrancy vulnerabilities, and more.
A Grant That Accelerates Impact
This deployment was funded through ChainGPT’s Web3-AI Grant Program, which supports Web3 teams bringing AI into production. CertiK’s $20,000 grant enabled a focused, high-impact use case — making token security data more human-readable at scale. The grant reflects ChainGPT’s ongoing commitment to making advanced AI tools accessible across the Web3 ecosystem.
Where UX Meets Security
Now live across more than 10,000 token profiles, the new AI layer helps CertiK users assess token safety at a glance. CertiK’s Skynet platform already analyzes over 16 million tokens across 9 blockchains and supports over 14,000 projects. With this integration, user engagement and trust have both seen significant lifts, reinforcing CertiK’s position as a leader in blockchain transparency.
CertiK’s Head of Advisory, Kayvon Hosseini, noted:
“Integrating ChainGPT’s LLM into CertiK’s Skynet was a seamless experience. Their Web3-native model helps us condense complex security scan data into easy-to-understand summaries that highlight risks for our users. Investors, builders, and researchers now receive faster, clearer security insights with every scan.”
ChainGPT: Built for Web3
ChainGPT’s Web3 LLM is purpose-built for the blockchain industry, unlike general-purpose AI models. It’s trained on a diverse set of crypto-native data, enabling a deep understanding of smart contract behavior, DeFi mechanics, tokenomics, and security patterns.
The model is already powering over 40+ integrations, with some partners seeing up to:
These metrics reflect the transformative potential of AI-native user experiences — where clarity, speed, and trust drive stronger adoption.
A Step Toward More Accessible Blockchain Security
CertiK’s integration of ChainGPT’s SDK marks a notable shift in how blockchain risk is communicated. It highlights a broader trend in the evolution of Web3 products: as the tools become more powerful, they must also become more accessible. For users navigating token ecosystems, that shift could make all the difference.
Interested in building with ChainGPT? Explore the Web3 LLM SDK or apply for the Web3-AI Grant Program to bring powerful AI tooling into your product.
Disclaimer: This article is provided for informational purposes only. It is not offered or intended to be used as legal, tax, investment, financial, or other advice.
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