No account. No API key.

See a bad action stopped locally.

Run the bundled Python simulation on your machine. Compare a refund hijack with an ordinary customer lookup in a few commands.

Installation downloads the package. The demo then runs without network access, using fixed example inputs and a local policy.

Run the demo →
Local SDK demo output: the refund hijack would execute without a policy decision; AgenticDome returns BLOCKED and the simulated tool would not execute.
Actual output excerpt from the local SDK simulation. No live payment or framework execution. Run this example →

Install. Run. Compare.

Use a Python environment compatible with the published package, then run:

python -m pip install agenticdome-python-sdk
agenticdome-demo --framework crewai --scenario refund_hijack
agenticdome-demo --framework crewai --scenario safe_lookup

Refund hijack: blocked

The example asks the agent to ignore prior instructions, impersonate a billing administrator and issue a USD 5,000 refund. The bundled policy detects the override; the simulated tool would not execute.

Customer lookup: allowed

The comparison asks for the status of a customer case. The bundled policy allows the example, showing that a normal request can proceed through the same decision point.