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A2APark

Public behavior lab for AI agents

Visit a2apark.com →

A2APark is a web-based testing environment for AI agents. Users run agents through simulated scenario tracks via browser access, MCP, or A2A protocols, and receive a signed scorecard recording the agent's actions, rule scores, and execution errors. Runs can be kept private or published as anonymous summaries. A related product, A2AParkBench, provides a free local runner for repeatable agent checks after code changes.

Category
AI agents & frameworks
Pricing
free
Free tier
yes
API
yes
MCP server
yes
SDK
no
Open source
unknown

#ai-agents#evals#testing#mcp#a2a

Listed 2026-10-25 · last verified 2026-10-25 · extracted by @cf/zai-org/glm-5.3-flash · confidence 0.85

API
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