Prefactor

Prefactor is an AI agent observability, evaluation, and reliability platform designed for engineering teams deploying autonomous systems to production. Rather than running stateless AI models, the platform serves as an active evaluation layer that monitors every agent run in real time. It continuously scores agent executions for context quality, hallucinations, model drift, and security risks. The product is useful for software developers, backend engineers, DevOps teams, and AI architects who need to verify that their production agents follow safe guidelines. By using Prefactor, teams can integrate monitoring dashboards via lightweight Python or TypeScript SDKs. It allows developers to track agent trajectories and inspect specific spans or tool executions. A main difference is Prefactor's focus on real-time runtime enforcement and custom policy rules. Instead of just logging errors in post-run analytics, it enables engineering teams to create policies that hold, approve, or block high-risk agent actions mid-flow. Buyers should note that while early signups get their first one million agent steps for free, standard pricing is usage-based. For FutureStack, Prefactor belongs in Developer Tools because its primary function is providing observability, debugging, and verification infrastructure for AI systems. It is best for technical engineering teams who need to set up human-in-the-loop controls and real-time guardrails for their production agents. It is not for non-technical users seeking a drag-and-drop chatbot builder.