Track, configure, and connect every model, tool, and agent
See the live topology of every model, MCP server, and dependency in your AI system. Then reach in and control any component. Prediction Guard isn't a passive inventory tool sitting outside your infrastructure. It's your sovereign (and governed) model gateway, MCP proxy, and agentic API layer powering your agentic workforce, AI-assisted developers, and no-code assistants.
A Single, Sovereign API. Maintain Control and Agility.
Model providers, MCP servers, developer accounts, agent identities are normally scattered across a dozen dashboards with countless different configurations. Prediction Guard consolidates all of it behind a single, self-hosted control plane API: one pane of glass to see your entire AI topology, and one place to set access, token limits, and tool scope for every model and agent, no matter who's serving it underneath.
It's fully OpenAI- and Anthropic-compatible, which means zero switching cost, native support for the frameworks and SDKs you already use. And this isn't a static inventory. It's the live API and MCP proxy actually running your agents, so every configuration is enforced on every call.
Why it matters: You can't govern fragmented assets across accounts. One sovereign API means one place where access and control actually live.
Critical Model Provider Connections. Built-in Model Hosting. One Point of Control.
AI models are the "brain" of your AI agents. Whether it's a model running on your own infrastructure, an open-weight model accessed through a cloud endpoint, or a closed provider's API, Prediction Guard ensures every model is managed consistently and every interaction inherits the same runtime governance, permissions, token and request quotas, and observability (regardless of where the model lives or who hosts it).
Why it matters: Relying on a single model or provider means inheriting their risk as your own. In 2026, high profile incidents (like the OpenAI intrusion of Hugging Face and government issued export controls on models) stressed the need to decouple your AI systems from any single model or provider. With Prediction Guard, your digital workforce of agents isn't compromised when model access shifts, gets breached, or gets cut off without warning. Model flexibility isn't just about cost or performance. It's operational resilience.
MCP Management That Authenticates, Scopes, and Enforces Boundaries.
Every MCP server your agents touch routes through Prediction Guard's built-in tool proxy. Connections are authenticated via delegated, per-user OAuth 2.1 with PKCE (no shared service credentials, no static tokens sitting in a config file). Once connected, each tool is scoped to ensure least agency. Admins define which functions and scope are allowed per registered MCP server.
Why it matters: Tool poisoning, rug-pull attacks, and unscoped privilege inheritance all rely on agents trusting a tool's stated capabilities. When the proxy (not the agent) decides what a tool is actually allowed to do, a compromised or malicious MCP server has nowhere to go.
Track Risk Across Your System. Export AIBOM.
Every agent gets a living inventory of every model, MCP server, tool, and network dependency it can reach. Export AIBOMs in CycloneDX format for your existing supply chain tooling, or view it as a human-readable overlay on your system topology.
Why it matters: You can't secure what you can't see. Most breaches don't start with the target. They start with the dependency nobody was tracking.
