Orchestrating the Self-Healing Web

The self-healing web is monitoring that doesn't stop at alerting humans — it hands the incident, with full diagnostic context, to an AI agent that fixes it autonomously. UpMonitor is the first AI-Native Monitoring & Orchestration platform built for this loop. By bridging the gap between downtime and automated repair, it cuts MTTR from hours to minutes and saves high-traffic teams an average of $55,000 per incident.

SSL expires. DNS misconfigures. A deploy breaks your headers. UpMonitor catches it in seconds, gives your AI agent the full diagnostic context, and orchestrates the fix — before a human ever wakes up.

Free. No account required.

Stop Alerting Humans. Orchestrate Agents.

Standard monitors cost you $1,100/min in human delay. UpMonitor automates the repair.

Status Quo (Manual)

0:00
System Down
0:05
Alert sent to human
0:15
Human wakes up/context switches
0:40
Manual log/config gathering
1:00
Fix applied after 60 mins
Total Cost:~$66,000

UpMonitor (Agentic)

0:00
System Down
0:01
Agentic Webhook triggers AI
0:02
Full Context pull via MCP
0:05
AI Self-Healing generates fix
0:10
Recovery verified in 10 mins
ROI:+$55,000 saved

* Downtime cost estimate based on Gartner's average of $5,600/min for enterprise systems, scaled for mid-market SaaS at ~$1,100/min. Actual costs vary by traffic and business model.

Built for the AI-Native Future

Deep diagnostic context, Agentic Webhooks, and Model Context Protocol (MCP) native.

Shadow Monitor API

Run a full SSL, DNS, and security audit on every git push. Block bad deployments before they hit production. Zero setup — one curl command.

Agentic Webhooks

Standard webhooks say "something's wrong." Agentic Webhooks send an MCP URI so your AI agent arrives at the incident with the full diagnostic context already loaded.

Free Diagnostic Tools

14 free tools — SSL checker, DNS checker, security headers, Lighthouse+, and more. No login. Run them from any CI script or browser tab.

Lighthouse+ AI Bridge

Beyond diagnostics. Enriched performance JSON structured for AI agents to automatically identify, apply, and verify code-level optimizations.

Frequently Asked Questions