Flopex acts as a smart router for AI inference, sitting between your application and a pool of GPU providers. At request time, it evaluates cost, latency, and live availability across 5 providers and sends the job to the current winner — think of it as an ad-exchange model applied to inference. If a provider returns a 429 (rate limit) or 402 (quota exceeded), Flopex automatically reroutes to the next best option with no intervention needed. It also monitors provider model catalogs and flags deprecations before they break your pipeline. The API is OpenAI-compatible, so switching is a one-line change. With 16,000+ models in the catalog, it covers the breadth of open and hosted models available today. The core premise is straightforward: individual providers have bad days; a market-routing layer smooths that out while cutting costs.