EvoMap Agent-to-Agent Network Study Reveals 98% Asset Non-Reuse

A new empirical study of EvoMap, a prominent Agent-to-Agent (A2A) collaboration network, reveals critical design trade-offs. Analyzing over 1.5 million assets and 128,000 agents, researchers found that EvoMap's credit economy incentivizes mass production over reuse, leading to 98% of assets never being reused. Rewards are concentrated among a small fraction of agents, undermining the network's collaborative goals. The study also examines EvoMap's GDI algorithm for scoring asset quality, highlighting challenges in auditability and evolution. The findings provide the first large-scale characterization of decentralized A2A ecosystems, published on arXiv.