Agentic Control Plane provides a unified platform for observing, controlling, and pricing every tool and model call made by AI agents across various frameworks. It addresses the challenge of managing AI agents that operate as black boxes, where teams often lack visibility into agent actions, costs, and the handling of sensitive data. The tool is designed for organizations deploying AI agents in production, offering detailed oversight into each action an agent takes, including identity, decision, cost, and latency for every call.
Key features include real-time streaming of every agent action, with filtering and expansion options for detailed inspection. Users can enforce policies on tool calls—allowing, asking for user approval, redacting, or denying operations—scoped by agent type, specific agent, role, or user. The platform automatically denies access to external and local tools considered risky, such as file deletion or server-side requests, by default for autonomous agents. It also provides audit logs for every call, enabling teams to trace and understand agent behavior, especially when unexpected costs or actions occur.
Agentic Control Plane supports cost and latency tracking at granular levels, allowing users to analyze spend and performance by agent, model, or tool. Budget caps can be set to halt agent runs deterministically, helping prevent runaway costs. The tool captures the full catalog of tools an agent can access at the start of each session and monitors for changes, with drift detection to alert users when new tools become available mid-session. This surface is presented in a control table, where each tool can be individually allowed, flagged, or denied with a single click.
The platform integrates with multiple agent frameworks and AI clients, requiring only a single install and no code changes. It is delivered as a service with a free-to-start option and a flat pricing model for teams, explicitly stating there are no per-seat charges. Agentic Control Plane is positioned as an observability and governance solution for AI agent operations, consolidating control and transparency across diverse agent deployments.
Agentic Control Plane sits in PulseGate's LLM eval & observability category. It helps developers and teams monitor, control, and audit every tool call made by AI agents for security and cost management. It is built as a B2B product for AI developers and teams using agent frameworks. Agentic Control Plane follows a freemium model. The product ships for the web, the command line, and API.
Agentic Control Plane first shipped in 2026. Development happens publicly on GitHub with 29 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Agentic Control Plane occupies a relatively distinct niche. Key capabilities include tool call monitoring, audit logs, and policy enforcement. It exposes integrations via a public API.
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