Messari releases Mira research report: Processes 3 billion tokens daily, accuracy rate improved to 96%

Messari releases a research report on decentralized AI infrastructure Mira, which optimizes AI output reliability through a distributed model consensus mechanism. Its verification layer can increase the accuracy of AI facts in scenarios such as finance and education from 70% to 96%. The protocol breaks down AI outputs into independent fact statements, which are cross-verified by heterogeneous models provided by node operators like Io.Net and Aethir, requiring consensus from more than two-thirds of the nodes to pass.

Mira currently processes over 3 billion text tokens daily, covering 4.5 million users on platforms such as chatbots and educational platforms. The protocol adopts an economic incentive model, where verification nodes receive rewards based on their contributions, and abnormal nodes are penalized. Partners include decentralized GPU computing power suppliers like Hyperbolic and Exabits, achieving computing power expansion through a node delegation mechanism.

According to team data, the protocol reduces AI hallucination rates by 90%, with each verification taking less than 30 seconds. Users can trace the verification process through on-chain proof, with each output accompanied by an encrypted certificate recording model voting details. Currently, integrated applications like Klok have utilized this technology to optimize educational content generation, with plans to expand into high-risk areas such as medical diagnostics in the future.