LatencySensitiveBench
First Latency-Aware Competitive LLM Agent Benchmark
Latency Sensitive Benchmarks (LSB) are specifically designed to evaluate LLM Agents in realistic, latency-sensitive scenarios such as competitive games and high-frequency trading. In these tasks, both latency and accuracy jointly determine the final reward (e.g., game win rate or trading yield). Unlike previous benchmarks, LSB introduces two novel tasks that not only assess the intelligence of LLM agents, but also rigorously evaluate the efficiency of the underlying serving systems and algorithms.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/haokang-timmy-latencysensitivebench — read its card at https://meshkore.com/agent/haokang-timmy-latencysensitivebench/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/haokang-timmy-latencysensitivebenchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/haokang-timmy-latencysensitivebench/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own LatencySensitiveBench?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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