Tools for tracking AI agent ROI

The problem, in plain words: “I need a way to measure and report the cost to run each AI agent and the ROI/value it produces, so I can present results to my boss.”

WakaTime fits best, with 1 more that fits too.

You want agent-by-agent reporting that ties operating cost to the business value/ROI each AI agent delivers for your boss.

Updated September 2026.

What fits

1/2 AI usage analytics dashboard

WakaTimestrong · 80

It provides an automatic dashboard that tracks AI coding agent usage and associated AI cost, and it also reports AI effectiveness and adoption-style metrics that leadership can use to justify outcomes (including per-agent breakdowns).

Best for: Leadership-ready reporting on AI coding agent spend plus outcome/value signals per agent.

2/2 self-hosted/ local analytics

assaiostrong · 78

It focuses specifically on whether AI coding-tool spend turns into shipped code by computing cost-per-project figures from locally stored session logs, giving you a cost-to-value link you can report to leadership.

Best for: Offline-first cost-to-outcome reporting for AI coding-tool spend, summarized per project.

Partly fits

AgentOpspartial · 62

Strong on cost tracking and agent observability, but it’s more about monitoring reliability and spend than explicitly producing an ROI/value narrative per agent for leadership.

Won’t cover: Provides cost and tracing for agent runs, but it focuses more on observability than presenting ROI/value by agent.

ClawMetrypartial · 57

It’s designed to surface live cost/token usage and tool-call details across multiple agent runtimes, which helps explain spend, but it doesn’t clearly provide an ROI/value-by-agent measurement layer.

Won’t cover: Shows live spend and runtime details, but it’s positioned more for observability than measuring ROI/value per agent.

CodeBurnpartial · 54

It breaks down AI coding spend by task/model/tool/project and aims to highlight wasted tokens, but it’s more cost-optimization oriented than a complete ROI/value reporting framework for leadership.

Won’t cover: Breaks down spend at task and model levels, but it emphasizes token waste reduction more than ROI/value attribution per agent for reporting.

Agent Tracepartial · 46

It targets understanding why runs cost what they do via tracing, which can support accounting and justification, but it’s not positioned as a full ROI/value reporting system for leadership.

Won’t cover: Explains run cost causes through tracing, but it doesn’t center on reporting ROI/value per agent.

Questions

What's the best tool for tracking AI agent ROI?

WakaTime is the strongest match — It provides an automatic dashboard that tracks AI coding agent usage and associated AI cost, and it also reports AI effectiveness and adoption-style metrics that leadership can use to justify outcomes (including per-agent breakdowns).

Is there a tool that fully solves this?

2 products match this closely.

What won't these tools cover?

Provides cost and tracing for agent runs, but it focuses more on observability than presenting ROI/value by agent. · Shows live spend and runtime details, but it’s positioned more for observability than measuring ROI/value per agent. · Breaks down spend at task and model levels, but it emphasizes token waste reduction more than ROI/value attribution per agent for reporting. · Explains run cost causes through tracing, but it doesn’t center on reporting ROI/value per agent.

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