PromptAudit: AI Model Cost Tracker
Tracks API calls, token usage, and costs across Claude, GPT, Gemini, and Llama models to help AI-first developers optimize spending and catch budget overruns.
The Problem
Vibe coders building AI apps with multiple model providers have no unified visibility into token consumption and costs across platforms. Bills arrive as surprises, it's unclear which features are expensive, and there's no way to catch runaway costs in real-time before they balloon.
Target Audience
Solo developers and small teams (1-10 people) building with Cursor, Lovable, Bolt who integrate multiple LLM APIs and want to control costs without manual spreadsheet tracking.
Why Now?
AI model pricing is becoming the #2 operational cost for AI-first startups (after hosting), and developers are increasingly using multiple providers to avoid vendor lock-in and compare quality.
What's Missing
Each API provider has its own billing portal with different UX and latency. No tool aggregates spend across providers or suggests which endpoints are most expensive to optimize.
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