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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.

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