Research Report: In-Depth Analysis of Mira Network Mira Network reports millions of users and processes tens of millions of AI queries weekly, demonstrating strong early adoption. Its verification layer improves AI accuracy to approximately 96 percent while reducing hallucination rates by up to 90 percent. Flagship applications such as Klok (AI chatbot) and Astro (AI search) have collectively attracted hundreds of thousands of users, validating Mira’s practical approach to trustworthy AI.
Mira operates a distributed verification network integrating over 100 AI models under a multi-model consensus framework. By decentralizing validation across independent nodes, the system reduces single-point failure risks and improves output reliability, analogous to decentralized auditing of AI reasoning. This architecture provides a scalable trust layer for AI-powered applications and agents.
Mira has secured funding from leading venture investors across the AI and Web3 sectors, reflecting market confidence in its AI and blockchain infrastructure model. The team brings experience in AI systems, blockchain protocols, and global product development. The protocol has raised approximately 9.85 million dollars across seed funding and node sales to support ecosystem growth and infrastructure expansion.
The MIRA token functions as the economic backbone of the network enabling AI verification payments, node staking and rewards, governance participation, and developer incentives. The project has also established an independent foundation and a 10 million dollar builder fund to accelerate ecosystem expansion and partnerships.
III. Tokenomics
Token name: MIRA
Total supply: 1,000,000,000
Initial circulating supply: 191,200,000 (19.12%)
Allocation structure consists of 26 percent ecosystem and growth, 20 percent core contributors, 16 percent validator rewards, 15 percent foundation treasury, 14 percent early investors, 6 percent community airdrop, and 3 percent liquidity programs.MIRA utility includes payment for AI verification services $MIRA
