We built this because we’re seeing a shift from "chatting with agents" to event-driven flows (agents reacting to webhooks, PRs, or tickets in the background).
The problem we hit was responsibility. An agent can technically execute a stripe.refund tool call, but it cannot weigh the consequences of a $50 refund vs. a $5,000 refund. It lacks the context of risk.
We built the proxy to bridge that gap. It lets the agent run autonomously 99% of the time, but forces a "hardware interrupt" (human check) when the stakes get high. We handle the state management of pausing that headless workflow so you don't have to build custom polling logic into every bot.
We built this because we’re seeing a shift from "chatting with agents" to event-driven flows (agents reacting to webhooks, PRs, or tickets in the background).
The problem we hit was responsibility. An agent can technically execute a stripe.refund tool call, but it cannot weigh the consequences of a $50 refund vs. a $5,000 refund. It lacks the context of risk.
We built the proxy to bridge that gap. It lets the agent run autonomously 99% of the time, but forces a "hardware interrupt" (human check) when the stakes get high. We handle the state management of pausing that headless workflow so you don't have to build custom polling logic into every bot.