exit1.dev
exit1.dev is real-time uptime monitoring for websites, APIs, and infrastructure, built around a live dashboard. Probe results stream from our regional servers straight into your browser over WebSockets, so the chart and raw probe table update the moment each check finishes, with per stage timing for DNS, connect, TLS, and first byte. No refresh, no polling.
Checks run from multiple regions across HTTP, TCP, UDP, ICMP, WebSocket, DNS, and heartbeat monitors. It also tracks SSL certificate and domain expiry, validates response bodies with status codes, JSONPath, and text, and alerts through email, SMS, Slack, Discord, Teams, or webhooks.
exit1.dev ships an MCP server too, so AI assistants can create and query your monitors directly. You also get public status pages, status badges, and a REST API. The free plan includes 10 monitors with no credit card.
Learn more
Socket.IO
In most cases, the connection will be established with WebSocket, providing a low-overhead communication channel between the server and the client. Rest assured! In case the WebSocket connection is not possible, it will fall back to HTTP long-polling. And if the connection is lost, the client will automatically try to reconnect. Scale to multiple servers and send events to all connected clients with ease. Socket.IO is a library that enables low-latency, bidirectional and event-based communication between a client and a server. It is built on top of the WebSocket protocol and provides additional guarantees like a fallback to HTTP long-polling or automatic reconnection. WebSocket is a communication protocol that provides a full-duplex and low-latency channel between the server and the browser. There are several Socket.IO server implementations available. And client implementations in most major languages.
Learn more
Prefactor
Prefactor is a real-time evaluation, observability, and reliability platform for production AI agents. It scores every run the moment it happens for quality, drift, cost, and data risk, then wires those evaluations into action so a failing agent is caught live instead of only appearing on a dashboard afterward. Teams can observe every model call, tool invocation, and decision as structured traces and spans, run LLM-as-judge, technical, qualitative, and custom evaluations on each step, and attach context from GitHub, Linear, Jira, databases, internal APIs, or other sources as ground truth. When a run crosses a defined threshold, Prefactor can block or throttle it, pause a sensitive action, or route it to a person for approval, modification, or rejection before execution, with every decision logged. The CLI discovers agents without a platform migration, while TypeScript and Python SDKs provide native support for LangChain, Claude, Vercel AI, OpenClaw, and LiveKit.
Learn more
Sendmux
Sendmux gives AI agents their own inbox and a controlled way to send email. Each agent can receive messages, read threads, handle attachments, send replies, and react to new mail through signed webhooks or Server-Sent Events.
Teams can send through Gmail OAuth, Outlook OAuth, SMTP providers, or managed Amazon SES. Sendmux can spread sending across providers with weighted routing, sender-domain routing, health checks, failover, and quotas by second, minute, hour, or day.
Developers get Mailbox, Sending, and Management APIs, OpenAPI docs, SDKs, the sendmux CLI, MCP tools, and Sendmux Skills. The platform also covers tenant isolation, mailbox-scoped API keys, custom domains, logs, metrics, and usage-based pricing with no per-seat or per-mailbox fees.
Learn more
