Know exactly what your
AI agents cost.
Real-time cost tracking, forecasting, and anomaly detection for LLM-powered agents. Drop in the Python SDK or point your agent at the bridge, and see spend by agent, model, and day.
No credit card required for the free plan.
Built for agent teams
Everything you need to keep LLM spend predictable, visible, and under control.
Cost by agent & model
See per-agent spend and model-level breakdowns. No more hunting through provider invoices.
Forecasting & anomalies
Project monthly spend and catch cost spikes before they surprise finance.
One-line SDK & bridge
Patch OpenAI or Anthropic clients in one line, or point closed binaries like Claude Code at the bridge. Events stream to your dashboard in real time.
Simple, predictable pricing
Start free. Upgrade when you're running agents in production.
Free
For solo builders and early validation.
- Up to 1 agent
- Real-time cost dashboard
- 7-day cost history
- Python SDK & bridge
Pro
For teams running agents in production.
- Up to 5 agents
- 30-day cost history
- Cost forecasting & anomaly alerts
- Priority support
Two ways to instrument everything
Patch the Python SDK in next to your existing OpenAI, Anthropic, or Ollama client — or point a closed binary like Claude Code at the bridge. No rewrites.
Python SDK
Monkey-patch the official clients in one call. Supports OpenAI, Anthropic, and Ollama.
from agentmonitor import patch_openai
patch_openai() # existing calls are now tracked
Download & docs on GitHub
Bridge proxy
For closed binaries you can't patch — Claude Code, Cursor, Aider, Continue. Point the agent's base URL at it; it forwards and records usage. Zero deps, Node 18+.
agent-monitor-bridge init
export ANTHROPIC_BASE_URL=http://localhost:8787
claude # calls are now tracked
Download & docs on GitHub
SDKs are in early access on GitHub. PyPI and npm packages are coming soon.
Ready to stop flying blind?
Join the early access program and start tracking agent costs in minutes.
Start tracking for free