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Props AI
Props AI offers a comprehensive solution for monitoring and monetizing AI applications with a focus on balancing cost, latency, and quality. The platform features per-user tracking, error and latency
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What is Props AI?
Props AI is a monitoring and billing platform designed for teams running AI applications in production. It tracks how your AI models perform in real-world conditions, measures costs across different model providers, and identifies where latency issues occur. The platform integrates with your existing code through SDKs for Python, JavaScript, and TypeScript, then routes requests intelligently to balance speed, quality, and expense. It's built for startups and teams that need visibility into AI spending without heavy engineering overhead. Props AI handles usage-based billing through Stripe integration, so you can charge users fairly based on actual model costs.
Key Features
Per-user tracking
monitor performance and costs broken down by individual user or customer
Error and latency monitoring
identify slow API calls and failed requests with detailed logging
Model routing
automatically direct requests to different models based on cost, speed, and quality thresholds
Usage-based billing
integrate with Stripe to bill customers based on actual AI API consumption
Multi-language SDKs
quick integration with Python, JavaScript, and TypeScript applications
Streaming and image generation support
track costs for diverse AI workload types beyond text generation
Pros & Cons
Advantages
- Free starter plan makes it accessible to test before committing budget
- Minimal code changes required for integration using standard SDKs
- Handles billing automation through Stripe, reducing manual work
- Intelligently routes requests to optimise for your preferred balance of cost, speed, and quality
Limitations
- Requires upfront integration work; not a drop-in solution for all application types
- Limited to supported languages; teams using Go, Rust, or other languages need custom solutions
Use Cases
SaaS companies offering AI features to customers and wanting to pass through model costs fairly
Development teams managing multiple AI model providers and needing cost visibility per provider
Applications requiring automatic failover between models when one becomes too slow or expensive
Teams building chatbots or search features that need real-time cost tracking and billing
Startups pilot-testing AI features without expensive infrastructure or billing setup