Use Case

Is Your AI Agent Still Running?

AI agents fail silently. No error page, no crash report — just tasks piling up while nobody notices. Monitor your agents with HTTP health checks and get alerted the moment they stop responding.

Health Endpoint Checks Instant Alerts Response Time Tracking 1-Minute Intervals
Start Monitoring →See Pricing

The problem

Agents Crash. You Find Out Hours Later.

A website shows a 500 error. A server triggers an alarm. But when an AI agent stops working, it just goes quiet. Tasks stop completing, queues back up, and customers wait — and you have no idea until someone asks why nothing is happening.

Silent Failures

Your agent process crashes or hangs. No exception reaches your inbox. The health endpoint stops responding, but nobody is checking it.

Delayed Discovery

Hours pass before someone notices tasks aren't completing. By then, the backlog is massive and the damage is done.

No Recovery Signal

Even after you restart the agent, you have no confirmation it's actually back up and processing. You're guessing until the next task completes.

How it works

Monitor Your Agent in 3 Steps

If your agent has an HTTP endpoint — a health check, an API, or a dashboard — Monitoristic can monitor it.

1

Add your agent's URL

Enter the health endpoint, API URL, or dashboard URL of your AI agent. Set the expected status code and timeout threshold.

2

Set the check interval

Choose how often to check — every 1, 2, or 5 minutes depending on how critical the agent is. Faster intervals mean faster detection.

3

Connect your alerts

Add a Telegram bot or webhook URL. You'll get an instant notification the moment your agent stops responding — and another when it recovers.

What to monitor

Endpoints Worth Watching

Every agent architecture is different, but these are the most common endpoints to monitor.

/health

Health Check Endpoint

The most direct signal. Returns 200 when the agent process is alive and ready. Most agent frameworks support this out of the box.

/api/status

Status API

Returns the agent's current state — running, idle, processing. Useful for agents that expose richer status information beyond just alive/dead.

/api/v1/chat

Primary API Endpoint

Monitor the actual endpoint your users hit. If this returns errors or times out, your agent is effectively down for customers — even if the process is still running.

Dashboard URL

Agent Dashboard

If your agent has a web UI or admin panel, monitoring its URL catches both agent failures and infrastructure issues like expired certificates or DNS problems.

Instant Alerts

Know in Seconds, Not Hours

When your agent's health endpoint returns an error or times out, Monitoristic sends you an alert immediately. No polling a dashboard, no waiting for a customer to report it. You know the moment it happens.

Telegram notifications straight to your phone

Webhook alerts to Slack, Discord, or PagerDuty

Recovery notifications when the agent comes back

!Alert TriggeredDOWN
AI Support Agent
Status503
ResponseTimeout
Detected38s ago

Response Time

Catch Slowdowns Before They Break

An agent that takes 12 seconds to respond is technically "up" but practically useless. Monitoristic tracks response times on every check, so you can spot degradation before it becomes an outage.

Configurable slow response thresholds

Response time history for trend analysis

Timeout detection for hung processes

~Response Time Trend
Last 24 HoursAvg 240ms

A note on what this covers

Monitoristic uses active HTTP monitoring — it sends requests to your agent's endpoint and checks the response. This works for any agent with a public-facing URL (cloud-deployed bots, API services, web dashboards). If your agent runs on a private network with no HTTP surface, active monitoring won't reach it. For those cases, heartbeat (ping-in) monitoring — where the agent reports its own status — would be needed.

Questions

Frequently Asked Questions

What is AI agent monitoring? +
AI agent monitoring is the practice of checking whether your autonomous AI agents — bots, assistants, background workers — are still running and responsive. With HTTP monitoring, you send periodic requests to your agent's health endpoint and get alerted the moment it stops responding.
Can Monitoristic monitor any type of AI agent? +
Monitoristic can monitor any AI agent that exposes an HTTP endpoint — a health check URL, an API, a dashboard, or a status page. This covers most cloud-deployed agents, API-based assistants, and web-accessible automation bots.
What if my agent doesn't have a public HTTP endpoint? +
If your agent runs locally or on a private network with no public-facing URL, active HTTP monitoring won't reach it. In that case, you'd need heartbeat (ping-in) monitoring, where the agent itself reports its status. Monitoristic currently supports active HTTP checks only.
What check interval should I use for AI agents? +
It depends on how critical the agent is. For production agents handling customer requests or time-sensitive tasks, 1-minute or 2-minute checks give you near-instant detection. For background workers or non-critical bots, 5-minute checks are usually sufficient.
How do I get alerted when my agent goes down? +
Monitoristic sends instant notifications via Telegram and webhooks. You can route alerts to your phone, a team Slack channel, Discord, PagerDuty, or any service that accepts HTTP webhooks. Recovery notifications are sent automatically when the agent comes back online.

Get started

Stop Guessing. Start Monitoring.

Set up your first agent monitor in under a minute. Get instant alerts when it stops responding.

Start Monitoring →See Pricing

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