Free evaluation for teams spending $100k+/yr on coding agents

Claude’s your new top earner. Get your money’s worth.

TokenKeeper helps engineering leaders maximize the return on every coding agent dollar by finding the configurations that ship more, faster, with fewer defects.

Easy installation. Automated insights. Spend you can defend.

How it works

01 Connect
One-time installation to your harness and version control. Zero configuration required.
~5 min
02 Observe
TokenKeeper monitors performance and tracks agent configurations.
30 days
03 Optimize
Receive a prioritized list of improvements and ongoing alerts on regressions.
Ongoing

TokenKeeper Evaluation Last 30 days

Annualized savings

$108,500 10.8% less spent per feature

Frontier model usage: -18%
Defect rate: -12.2%
Cycle time: -24%

Key insights

Change detected

Model routing update cut cost per feature without moving review defects.

Context bloat

Monolithic context files waste tokens and time. Decompose into smaller topic-specific files.

Maximizing parallelism

Codex users are achieving 2.5x higher parallelism than Cursor users. Consider standardizing.

AI reviews

Defect rate down 12.2% since introducing Greptile.

Works with your stack

Seamless integration with the tools you already depend on.

Claude Code
Codex
Cursor
Windsurf
Antigravity
Copilot
Devin

The status quo

Your agentic coding spend is up and to the right, but your ROI isn't.

Every week engineers switch models, edit context files, and try new harnesses. Some changes make the team faster. Others burn credits. Most teams can't tell the difference.

Frontier model costs are skyrocketing. But nobody can prove whether the added intelligence is worth the price.

Regressions slip in quietly. Bad context edits and flaky MCPs silently waste thousands per month.

Everyone has an opinion. But no one can prove whose custom harness and skills perform best on your codebase.

Existing tools only report adoption and spend. But none of them tell you which change actually moved key metrics.

The product

The optimization engine for agentic coding.

01 / Measure

Track performance and configurations

Capture cost, speed, and defects per feature. Track the models, harness, skills, and context used for each PR.

02 / Correlate

Compare setups on real work

See which configurations moved cost, speed, and quality. Trace wins and regressions back to specific changes.

03 / Alert

Proactive, timely insights

TokenKeeper continuously analyzes your stack so you can stay focused.

Three outcomes, starting week one

Accelerate development while keeping spend in check.

Balance model intelligence and cost

Identify tasks that cheaper models can solve just as well.

Catch regressions early

Flag new agent configurations the day they degrade performance.

Standardize on the best tooling

Identify the top performing models, harnesses, and context files in your codebase.

Free TokenKeeper evaluation

Claude’s your new top earner. Get your money’s worth.

We'll use TokenKeeper to identify the configurations driving the highest return across your agentic coding stack.