Every token, traced to a line.

Real spend and durable-code metrics, read from each agent’s own transcript. Cost per prompt, model, and agent, plus the share of AI code that survives.

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Live product activity

150+
users active
12.9M+
AI tokens captured
2,980
repositories created
The problem

You don’t have numbers on AI code. Merget measures all three from the transcript.

How much survives?

durable code at HEAD

Is it efficient?

kept lines per 1K tokens

What it cost?

real spend per prompt

What it measures

AI coding efficiency, cost, and dev performance

Cost

Measured USD spend per prompt, model, and agent.

Models

Spend and output by supported model and provider.

Token efficiency

Survived code per prompt against tokens spent.

Code durability

AI-written lines still present at HEAD, measured by prompt and repository.

Trend

Prompt volume, spend, and activity over time.

Works with your stack

Sits on top of the tools you already use

Merget wraps the agents and the git you already have. Import in a couple of clicks, keep your history, and change nothing about how you work.

The agents you run

Claude Code Codex Cursor GitHub Copilot

Many more on the way

Your git, untouched

Coexists with git. Nothing is overwritten, nothing is synced back.

Import in a click

Bring a repo in with its history and authorship preserved.

Your AI writes half the code.
You own all of it.

Connect a repo for live metrics, full history, and answers to “who built this and why” in seconds, not standups.

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