Speaking of Mira, let's first look at the data: the current price is 0.1473, and the prize pool of 1 million tokens translates to a value of 140,000—this is not insignificant among similar projects. But what truly deserves discussion is its unique technical approach.

Compared to other AI verification projects on the market, Mira takes a different path. The core difference lies in the model integration concept: it is not based on single verification but relies on a collective verification mechanism through staked nodes and a diversified LLM ecosystem. In other words, data accuracy is ensured through decentralized node participation and consensus among multiple large language models, making it more resilient in design than traditional single-chain verification. This multi-dimensional verification method not only improves fault tolerance but also allows the entire system to better adapt to different scenarios. This is why Mira can stand firm in its track.