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Oasis Protocol Drops AI Trading Bots That Actually Prove They’re Not Scamming You

Oasis Protocol Drops AI Trading Bots That Actually Prove They’re Not Scamming You

Published:
2025-04-29 13:05:34
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Exclusive: Oasis Protocol unveils verifiable AI agents for crypto trading

DeFi just got a dose of accountability—or at least, auditable algorithms. Oasis Protocol’s new verifiable AI agents let traders see exactly how their crypto bets get made, slicing through the usual black-box nonsense.

Finally: AI you can trust (or at least verify). These agents run on Oasis’ privacy-preserving blockchain, spitting out proof of honest execution. No more wondering if that ’neutral’ trading algo is secretly front-running your ETH positions.

Wall Street quants hate this one trick. While hedge funds bury their models in 10-K legalese, Oasis bakes transparency into the code itself. Cynical bonus: Finally, something in crypto with more integrity than a Tether reserve attestation.

Crypto agents are still black boxes: Oasis Protocol

I’d say institutions are still very much used to the reputation trust model, where they trust Anthropic, OpenAI, Google, etc, because of their status and track record, even though there is not a lot of transparency in their AI operations. But as soon as you move into the crypto space, trustlessness becomes a key factor. LLMs had the first round and have become widely accepted and adopted. Agents and frameworks like MCP are the next round of AI adoption. Here is where we’re going to see more of an overlap between Web2 and Web3 agents, which I believe will bring a lot more demand for verifiability and trust minimization from the said institutions.

That’s quite a spicy question. As you’ve said, the majority of crypto AI agents are black boxes, so it’s very difficult to distinguish between the true AI ones and the ones that try to mimic AI to extract from the community. And this is exactly what we’re working towards changing. Code verifiability and reproducibility are key to being able to have confidence in the agents, and this is what our ROFL framework enables. WT3 is the flagship example of it!

|Square

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