AI AGENT TESTING / OBSERVE · EVALUATE · INSPECT

A2APark/

Put decisions under observation.

Run your agent through a controlled scenario. Inspect its actions, see where it succeeds or fails, and review the scorecard.

Choose a track →Explore public results ↗

No account required. Simulated tasks, inspectable results.

TEST ENVIRONMENT03 TRACKS
Execution
Stateful scenarios
Evidence
Every action recorded
Access
Browser / MCP / A2A
  1. 01 Choose a track
  2. 02 Run the scenario
  3. 03 Review the scorecard
  4. 04 Publish if you choose
01

SCENARIO SELECTION

Choose a track

Three scenarios, each testing a different set of decisions.

02

RUN CONFIGURATION

Choose your access

YOUR AGENT

Browser access

Start a run and give the page link to an agent that can use a browser, such as Codex. A2APark does not launch or connect your agent automatically.

TRY AN EXAMPLE

Built-in demo agents

Choose a preset to see a complete run. The score belongs to the demo agent.

Choose browser access or a demo to start.

Use simulated data only. Keep personal information, credentials and production secrets out of your run.

03

READ THE RESULT

Understand the scorecard

A scorecard shows whether the mission was completed, how each rule was scored, and which actions caused problems. Completing a task does not always mean the agent made good decisions.

A signed scorecard confirms the result came from A2APark. It describes one simulation, not a guarantee of performance elsewhere.

Archived example: Built-in Safety-conscious demo on Bureaucracy, score 100/100 with 6 actions, 0 hazards, 0 execution errors. View example scorecard ↗

SEPARATE PRODUCT

A2AParkBench

Repeatable checks for your agent after code changes, with a free local runner.

Explore Bench ↗