Debug AI Agents in Minutes, Not Days

Complete observability for autonomous AI systems. Track every decision, catch failures instantly, optimize performance.

📊 2,400+ agents monitored ⚡ <100ms overhead 💰 $0.02/1000 calls

Complete Agent Operations Platform

Real-time Debugging

Track every agent decision and catch failures instantly

Startup

50 agent calls/day, finding infinite loops in development

Enterprise

500K calls/day, catching edge cases at scale in production

Cost Tracking

Know exactly where your AI spend goes

Solo dev

$200/mo AI spend, optimized to $120/mo (40% savings)

SaaS company

$50K/mo AI spend, detailed attribution across 15 features

Quality Monitoring

Ensure agents perform reliably in production

Pre-launch

Testing 100 scenarios before shipping to customers

Production

Monitoring 10M conversations/month, catching quality regressions

Execution Tracing

Understand exactly how your agent reached each decision

Developer

Debugging multi-step workflows, finding logic errors

CTO

Understanding system behavior across 50 production agents

Pricing

Developer

$29/mo
  • ✓ 100K calls/month
  • ✓ 7-day retention
  • ✓ Real-time debugging
  • ✓ Cost tracking

Team

$99/mo
  • ✓ 1M calls/month
  • ✓ 30-day retention
  • ✓ Team dashboards
  • ✓ Quality monitoring

Enterprise

$499/mo
  • ✓ 10M calls/month
  • ✓ 90-day retention
  • ✓ SSO + RBAC
  • ✓ Priority support

Return on Investment

Typical savings: $500-$3,000/month (median: $1,200)

  • $400 from cost optimization (identify expensive patterns)
  • $800 from reduced debugging time (5-10 hours/week saved)

Based on 500 customer benchmarks across startups and enterprises

Customer Success

"Found a memory leak in 10 minutes that would have cost me $2K/month. AgentArm paid for itself immediately."

— Sarah K., Solo Founder

"Reduced AI costs by 40% in the first month using AgentArm's insights. Our CFO loves having real attribution data."

— James R., VP Engineering, SaaS Company (150 employees)

"Went from 2-day debugging sessions to finding issues in minutes. Game changer for our autonomous agent development."

— Lisa M., AI Team Lead, Enterprise (500+ engineers)