
Investigate AI agent activity from your MCP client
Ask what your AI agents did, find a customer interaction, follow its timeline and verify linked Proof Packs from your MCP client. Ten investigation tools bring activity search, evidence verification and exports into your existing workflow. Connect agents with Python, TypeScript/JavaScript, Go, Java or Rust; enforce policies before connected actions execute. Self-service signup and AI-assisted policy setup help you start with one action.
HaltState MCP enables users to investigate AI agent activities through a client interface, offering tools for activity search, evidence verification, and integration into existing workflows. It supports multiple programming languages for agent connection and includes features for policy enforcement and self-service setup.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.