You can't see where it goes
One big bill, no idea which feature, team, or person it came from. You can't manage what you can't see.
AI Spend Intelligence
Your AI bill, finally broken down by feature.
TokenTracker unifies AI spend across every tool your team touches — then rolls it up to the feature level, split across Development, Product, Design, and QA. What each feature cost to build, and what it costs to run.
// Provider-agnostic · build + run · no manual tagging
Cost per feature · July
DevelopmentProductDesignQA
Smart Search$0
Code Review Bot$0
Pricing Assistant$0
Invoice Parser$0
Document Q&A$0
Support Auto-Reply$0
6 features · 4 disciplines$0
Works with the AI tools your team already uses
OpenAIAnthropic ClaudeGoogle GeminiClaude CodeCursorGitHub CopilotAmazon BedrockAzure OpenAIMistralPerplexity
The problem
AI spend is a black box.
Every team is spending more on AI every quarter. Almost none of them can say what any single feature cost.
Spend isn't tied to value
Was the money that went into a feature worth what it produced? Today that question has no answer.
Costs creep, then surprise
No budgets, no per-team limits, no alerts. Spend drifts up and lands on finance's desk at month-end.
Many dashboards, no picture
Usage scattered across every provider, each with its own console. Nowhere shows the whole, normalized truth.
How it works
Connect once. See cost by feature.
01
Connect your AI tools
Link every provider and coding tool your team uses. Read-only, set up in minutes — nothing to instrument.
// OpenAI · Anthropic · Cursor · Copilot · Bedrock
02
We attribute usage to features
TokenTracker reads the work and assigns each unit of spend to the feature it served — build-time tooling and run-time API calls alike.
// AI-inferred · build + run · no tagging
03
Cost splits & slices
Each feature's cost splits across Development, Product, Design, and QA — then slice by team, model, provider, or time.
// feature · discipline · team · model
Feature-level cost
The whole cost of a feature — in one number, then broken apart.
Most tools stop at the API key. TokenTracker goes past it to the feature: what your team spent building it, what your product spends running it, and who drove that spend.
Build + run lifecycle
The Claude Code and Cursor tokens spent shipping it, and the OpenAI calls it makes in production — one number.
Split by discipline
Development, Product, Design, and QA each carry their share, so you see who the spend actually came from.
Every provider, one view
Normalized across providers and models, so the comparison is real rather than four consoles side by side.
Feature · Smart Search
$0total this month
LifecycleBuild 58% · Run 42%
Build-time$3,776Run-time$2,734
Disciplinewho spent it
Dev52%Product28%Design12%QA8%
// illustrative product mockup
Integrations
Connects to both sides of your AI spend.
Read-only connections to the tools your team builds with and the providers your product calls.
Build-time tools
What your team builds with
Claude CodeCursorGitHub CopilotChatGPTClaudeWindsurf
Run-time providers
What your product calls
OpenAI APIAnthropic APIGoogle GeminiAmazon BedrockAzure OpenAIMistral
Who it's for
One source of truth, a lens for every team.
Cost per feature, per team
See exactly what building and running each feature costs in AI — and where the spend concentrates.
Unified AI spend & ROI
Every provider in one normalized view. Tie spend to features and teams, forecast, and stop the month-end surprise.
Spend behind each bet
Know what a feature's AI cost really was, split by discipline, and whether it was worth the outcome.
Read-only connections. We never write to your accounts · SOC 2 on our roadmap.
Early access · building now
We’re building TokenTracker with a small group of teams who feel this pain every month. If AI spend is a mystery you keep re-litigating, we’d like to compare notes.
Talk to us
Does this sound familiar?
Tell us about your setup — which AI tools your team uses and where the spend disappears. We’ll show you what TokenTracker could surface for you, and you’ll help shape what we build.
Prefer email? hello@token-tracker.dev