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

Save 10% on your next model invoice.

TokenKeeper optimizes cost, speed, and quality by monitoring coding agent configurations and identifying the winning setup.

Easy installation. Automated insights. Spend you can defend.

TokenKeeper Evaluation Last 30 days

Annualized savings

$108,500 10.8% less spent per feature

Premium model usage: -18%
Defect rate: -12.2%

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.

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 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

Save 10% on your next model invoice.

We'll use TokenKeeper to optimize your agentic coding stack and save you thousands.