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From Resource Allocation to Data Value: How Metis Builds the Infrastructure for Agent Economy
The paper "QoS-Aware Token Scheduling and Private Data Valuation for Multi-Modal Agentic Networks," related to Metis ecosystem project LazAI, has been published on arXiv and will be presented at IEEE ICME 2026. The paper focuses on resource scheduling and private data valuation in multi-modal agent networks, aiming to study how to allocate limited AI service resources and how to evaluate data contributions without exposing raw data. LazAI has launched its Alpha Mainnet and, through DAT, iDAO, and the Quota Model, has built mechanisms for data contribution, value confirmation, and allocation of AI service rights, becoming a key component of Metis's transition to an Agent Economy infrastructure.
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