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The Cost of Saying Hello: An Empirical Study of Handshake Overhead in AI Agent Communication Protocols
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
An empirical study measures handshake overhead in AI agent protocols, detailing setup latency across frameworks like MCP.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.LG — Machine Learning · RESEARCH
- Published by source
- 23 October 2026
- Collected by OneBench
- 24 Oct 2026, 03:02 UK
Stored source excerpt
arXiv:2610.30151v1 Announce Type: cross Abstract: Every interaction between AI agents begins with a handshake: the initiating agent must locate its counterpart, learn what it can…
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OneBench interpretation
Institutional assessment
So what
Protocol initialization overhead directly impacts the latency and transaction cost of agentic financial workflows.
Do what
Review agentic infrastructure choices with technical architects to benchmark initialization costs before deploying multi-agent systems.