Right now, AI agents are burning tokens, accessing files, and making API calls with zero oversight. One runaway loop costs more than this tool costs all year. Take back control.
Get agent monitoring, kill switches, and cost alerts in under 5 minutes
Watch how teams are using Agent Control Panel to orchestrate AI agents safely and efficiently
Works with every agent framework
MCP is becoming the standard for how agents talk to tools. ACP plugs directly into your MCP tool servers — monitor every tool call, enforce permissions, and kill rogue connections. No wrapper code. No agent changes.
See everything your agents are doing. Control everything they can do.
See all running agents, their status, current activity, and resource usage at a glance.
Each agent gets a security rating. Know which ones are accessing sensitive files or making suspicious calls.
Every file read, every tool call, every network request. Searchable, exportable, compliance-ready.
Real-time token usage and cost per agent. Set budgets and get alerts before you blow through them.
Fine-grained permissions per agent. Sandbox file access, limit tools, restrict network calls.
One-click kill switch for all agents. Because sometimes you just need to pull the plug.
See how much Agent Control Panel saves your team each month
Go from zero to full agent visibility in under 5 minutes
pip install acp — one command, zero config files, works with any framework.
Add 2 lines of code to register each agent. Set budgets, permissions, and alert thresholds.
See every agent in real-time. Track costs, review audit logs, and hit the kill switch when needed.
"We had a CrewAI loop burn $500 overnight. Found ACP, set a $50 budget cap, and haven't lost a dollar since. The kill switch alone is worth it."
"The MCP integration was the selling point. We plugged it into our existing tool servers and had visibility in minutes — no agent code changes."
"Showed the audit logs to our compliance team. They went from 'AI agents are too risky' to 'when can we expand?' Same week."
🚀 247 forward-thinking teams are already on the waitlist
Early access is live • Spots are limited
Wrap your existing agents — no refactoring, no vendor lock-in.
from acp import ControlPanel
# One line to connect — works with any agent framework
panel = ControlPanel("your-api-key")
# Wrap your agent — LangChain, CrewAI, AutoGen, raw OpenAI, anything
monitored_agent = panel.wrap(your_agent, budget=50, kill_on_breach=True)
# That's it. Dashboard is live. Alerts are on. Ship it.
monitored_agent.run("Refactor the auth module")The only platform built specifically for multi-agent orchestration
| Feature | 🛡️ Agent Control Panel | LangSmith | Helicone | DIY Scripts |
|---|---|---|---|---|
| Real-time agent monitoring | ✅ Live | ⚠️ Delayed | ⚠️ Logs only | ❌ |
| Emergency kill switch | ✅ One-click | ❌ | ❌ | ⚠️ Manual |
| Per-agent cost budgets | ✅ Auto-enforce | ⚠️ Track only | ✅ Alerts | ❌ |
| Security scoring & sandboxing | ✅ Built-in | ❌ | ❌ | ❌ |
| Multi-agent team view | ✅ Native | ⚠️ Traces | ❌ | ❌ |
| Compliance audit logs | ✅ SOC 2 ready | ✅ | ⚠️ Basic | ❌ |
| Framework agnostic | ✅ Any framework | ⚠️ LangChain first | ✅ | ✅ |
| Setup time | 2 minutes | 15 minutes | 10 minutes | Days/weeks |
A real incident. No monitoring. No kill switch. No sleep.
Deploy agent starts a routine database migration. Looks normal.
Migration fails. Agent retries. And retries. Starts spawning parallel workers to "fix" the issue. Cost: $23/hr → $340/hr.
Agent decides to provision new cloud instances to "scale the fix." 47 new EC2 instances spun up. Nobody knows.
AWS bill climbing at $2,800/hour. Database corrupted. Agent still "fixing." CTO is at dinner.
CTO opens laptop. Slack blowing up. AWS bill: $47,231. Database: corrupted. Customers: down. Weekend: gone.
6:47 PM: Cost anomaly detected. Alert sent to Slack.
6:48 PM: Auto-kill triggered — budget threshold exceeded.
6:48 PM: Agent stopped. No instances spawned. No corruption. Total cost: $23.
This happens every week to teams without agent monitoring.
Don't Be the $47K Story →We've heard every objection. Here's the truth.
We support all major AI providers including OpenAI (GPT-4, GPT-5), Anthropic (Claude Opus, Sonnet), Google (Gemini), and open-source models. Our platform is provider-agnostic, so you can use any combination of models for your agent team.
We provide real-time monitoring with automatic killswitches based on cost thresholds, token usage, suspicious behavior, and time limits. You can set custom rules per agent, and our dashboard gives you one-click emergency stop for any agent or the entire team.
No! Agent Control Panel integrates via a lightweight SDK that wraps your existing agent code. It typically takes less than 5 minutes to integrate. We support Python, JavaScript/TypeScript, and have REST APIs for any language.
All data is encrypted in transit and at rest. We offer self-hosted deployment for enterprises with strict compliance requirements. Our monitoring logs only metadata (costs, tokens, tool calls), not your actual prompts or responses unless you explicitly enable detailed logging.
We charge based on the number of active agents and monitoring features enabled. The free tier includes up to 3 agents with basic monitoring. Pro plans start at $29/month for 10 agents. Enterprise pricing is custom based on scale and compliance needs. Check our pricing page for details.
Absolutely. We're designed for production use with 99.9% uptime SLA, dedicated support, and enterprise-grade security. Many teams use us to manage agents in customer-facing applications, internal tools, and automated workflows.
Teams are shipping fleets of agents with zero oversight. One runaway loop wipes out a week's budget. Don't ship AI without controls.
✓ No credit card required • ✓ Free for up to 3 agents • ✓ Setup in 2 minutes