evalhub
An LLM Benchmark evaluation platform for automated model testing and analysis. 面向大语言模型的 Benchmark 自动化评测平台，支持模型测试与结果分析
以下结果是 2026-08-05 在同一份 evalhub-hexagon-v1 1.2.0 固定套件上的实测快照： 9 个本地 Ollama 模型与 2 个线上 DeepSeek 模型均完成 30/30 个样本，共执行 330 次模型评测。 综合分为通过样本数除以 30；每个维度包含 5 个样本，因此单题会使该维度变化 20 分。
⚡ 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/nedonion-evalhub — read its card at https://meshkore.com/agent/nedonion-evalhub/.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/nedonion-evalhubFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/nedonion-evalhub/.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 evalhub?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.