See your team's AI spend.
Then cut it.
CDLX Token Tracker is a free background agent that monitors your team's token usage and True Cost — what you'd pay at full-freight API rates instead of a subsidized Max plan — across every tool, project, and member. When you're ready to bring spend down, Optimize — our upcoming MCP server — cuts agent tokens up to 40% — same agent, no workflow changes.
- Free forever — full team dashboard, unlimited members
- A background agent that tracks token usage & True Cost across tools, projects, and people
- 5-minute setup — install the CLI, run cdlx init
- Weekly & monthly email digests with the insights that matter
- Coming soon: Optimize cuts agent tokens up to 40% with an MCP server — join the waitlist
The agentic free lunch is over.
Anthropic moved programmatic Claude usage off subscription pools onto full API rates. GitHub Copilot moved agent mode to a metered pool. The subsidies that were quietly propping up headless agent economics are gone.
Stanford research found ~70% of agent tokens are waste — re-reading files, exploring dead ends, snowballing context. A single SWE-Bench Pro task on Opus 4.7 can burn $10–$15 in tokens for one PR.
The teams that thrive in the next phase won't have the biggest budgets. They'll be the ones who treat tokens like a resource.
of agent tokens are waste — re-grep'ing, re-reading, exploring dead ends. (Stanford)
API tokens burned per complex SWE-Bench Pro task on Opus 4.7.
effective cost increase for teams running claude -p on subsidized Max plans after the June 2026 shift.
First see your spend. Then cut it.
Two steps to control your AI bill — start free, optimize when you're ready.
Track your spend
A free background agent monitors token usage and True Cost across every tool, project, and member — and emails you weekly digests on exactly what's driving the bill. Five-minute setup, unlimited team members.
Cut your spend
Optimize plugs into your agent and cuts tokens up to 40% — same agent, higher first-pass quality, no workflow changes. Backed by SWE-Bench Pro benchmarks.
Persistent context, delivered just-in-time
Index your codebase once. Plug into your agent. Your agent stops paying to re-discover your architecture on every task.
Index once
Connect your repos. Code Lexica builds a deep, persistent model of your architecture, dependencies, and conventions.
Plug into your agent
One MCP config block. Works with Claude Code, Cursor, Copilot, Codex, Gemini CLI — or any MCP client.
Just-in-time context
Your agent asks for exactly what it needs. Scoped, structured answers — not a firehose of repo content.
More than just the MCP server
Code Lexica's persistent context model also powers reports, codebase chat, spec generation, and inline PM workflows.
Cheaper tokens are only half the story.
Persistent, structured context doesn't just save money — it makes the agent's first attempt more likely to be correct.
Evidence-backed answers
Every Code Lexica response references exact files and functions. Your agent stops inventing APIs that don't exist.
Standards before generation
Org conventions, preferred libraries, and error-handling patterns ship into the prompt — so the first draft is already idiomatic.
Higher first-pass quality
Persistent, structured context beats grep'd file dumps. Fewer retries, fewer rejected PRs, faster merge.
Built for the people paying the agent bill
Engineering Leaders
CTOs, VPs, Directors
- Cut agent token spend up to 40% across the org
- Board-ready ROI math on AI tool investment
- Higher first-pass quality, fewer retry cycles
- Reproducible benchmark data for procurement
Platform Teams
Platform, DevEx, AI Tooling Leads
- One MCP endpoint for every agent your team uses
- Standardize context across Claude Code, Cursor, Copilot
- Enforce org patterns and guardrails per repo
- Self-hosted and BYO-cloud deployment options
Developers
Engineers, Tech Leads
- Stop your agent paying to re-discover your repo
- Get architecture-aware suggestions, not invented APIs
- 15-minute setup — no editor swap, no SDK
- Evidence-backed answers traceable to source
Know your AI spend. Then take control of it.
Start tracking your team's token usage and True Cost free in five minutes — then cut it with the MCP server when you're ready.