Working with AI APIs gets expensive quickly.
Between prompts, completions, embeddings, and multiple providers, it becomes difficult to answer basic questions:
How many tokens am I using?
Which feature is driving costs?
Which model is the most efficient?
Most platforms don’t make this easy to track in one place.
What is TokenBar?
TokenBar is a tool for monitoring token usage and cost across AI applications.
It provides a clearer view of:
token consumption
API costs
model usage patterns
Why this matters
As soon as an app starts using models like:
GPT-style APIs
embeddings
multi-model pipelines
cost visibility becomes important.
Without tracking, it’s easy to:
overspend
miss inefficiencies
scale blindly
What it focuses on
Usage visibility
Understand where tokens are being used.Cost awareness
See how usage translates into actual spend.Simplicity
Avoid complex dashboards and unnecessary features.
Who it’s for
Developers building AI products
Indie hackers experimenting with APIs
Startups managing inference costs
Anyone working with token-based pricing
Try it
Summary
AI costs scale with usage.
Tracking tokens and spend early helps avoid unnecessary overhead and improves efficiency.
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