We asked LlamaAI and a general purpose LLM to both find the top yield opportunities for USDC. While LlamaAI has direct access to real-time DeFi data through DefiLlama, general LLMs are limited to a web search. Try for yourself with a 7-day trial now.

Why combine TradFi and DeFi data? One reason is that it enables interesting comparisons. For example, here we asked LlamaAI to compare DeFi lending protocols to banks based on their valuation multiples.

Most crypto research tools force a choice: onchain data or TradFi data. LlamaAI now pulls both. We just released the biggest update to LlamaAI to-date. Here's everything included: DefiLlama tracks over 5,000 protocols. The new version pairs that database with traditional financial markets, so a single query can cross-reference onchain yield, fundamentals, and TradFi performance simultaneously. LlamaAI can also now perform onchain analysis related to token distribution. Performance improved across the board. Parallel agents cut research time on complex prompts. A proper agent loop replaced the old static interaction model, making responses more adaptive. Memory stores your yield profile and pulls it forward into future sessions automatically. What that unlocks in practice: Compare DCAing into BTC, staked ETH, and USDC lent on Aave over 5 years. Analyze how airdropped tokens performed post-TGE. These were multi-tool, multi-tab research tasks. Now they're single prompts. The gap between a retail investor and a well-resourced analyst has always been data access and time. LlamaAI is narrowing both.