The Complete Guide to OpenClaw Monitoring & Analytics

Why Monitor OpenClaw Agents?

OpenClaw agents are powerful — they can use tools, manage memory, coordinate sub-agents, and interact across 12+ messaging platforms. But this power comes with real operational risks that only surface in production:

• Cost surprises — Users report $1,000-$3,600/month in unexpected API bills. Sub-agents spawning sub-agents compound costs exponentially with zero built-in tracking.
• Silent failures — Agents don't throw errors. They loop endlessly, skip critical steps, or return confident but wrong answers without any indication something went wrong.
• No built-in dashboard — OpenClaw's telemetry writes to a local file. No aggregation, no historical analytics, no way to compare agents or track trends.
• Team blindness — When multiple developers run multiple agents, there's no shared view of what's happening, what's costing money, or what's failing.

What to Monitor in OpenClaw

Effective OpenClaw monitoring covers four key areas:

1. Cost & Token Usage

Track token consumption per agent, per session, per model. Understand which agents cost the most, identify sessions with abnormal token usage, and set budget alerts before costs spiral. With models charging per-token, even a 10% optimization across your fleet saves meaningful money.

2. Performance & Latency

Measure response times, tool call durations, and end-to-end session latency. Identify bottlenecks — is your agent slow because of the LLM, a tool call, or a memory lookup? Track latency trends over time to catch regressions.

3. Errors & Failures

Monitor success rates, categorize errors (tool failures, LLM errors, timeout errors), and detect infinite loops. The hardest bugs in agent systems are silent failures — an agent that confidently returns a wrong answer. Trace-level monitoring lets you replay exactly what happened.

4. Agent Fleet Status

See which agents are running, idle, or erroring at a glance. Track agent uptime, session counts, and last-seen timestamps. When you have 5, 10, or 50 agents, fleet-level visibility becomes essential.

How Krabb Monitors OpenClaw Agents

Krabb is purpose-built for OpenClaw monitoring. Instead of bolting on a generic observability tool, Krabb understands OpenClaw's architecture — agents, sessions, sub-agents, tools, memory, and skills.

Zero-Code Setup via OTLP

OpenClaw has built-in OpenTelemetry support. Krabb acts as your OTLP endpoint — just point your OpenClaw config to Krabb and telemetry flows automatically. No SDK, no code changes, no dependencies.

{
  "otlp": {
    "endpoint": "https://ingest.krabb.io",
    "headers": {
      "x-api-key": "your-api-key"
    }
  }
}

Real-Time Dashboards

See costs, performance, errors, and agent status update in real-time. Filter by agent, time range, model, or channel. Compare agents side-by-side. All accessible from a clean, minimal dashboard designed to get out of your way.

Intelligent Alerting

Set cost threshold alerts, error rate warnings, latency spikes, and agent-offline notifications. Get alerts via email, Slack, or webhook — so you find out about problems before your users do.

OpenClaw Monitoring: Key Metrics Cheat Sheet

Getting Started

Start monitoring your OpenClaw agents in under 2 minutes:

1. Create your Krabb account (7-day free trial on every plan)
2. Copy your API key from the dashboard settings
3. Add the OTLP endpoint to your OpenClaw config file
4. Run your agents — telemetry flows to Krabb automatically