Does the AI API you pay for really return the model you expect? Many inference service providers outwardly use the same model ID, but secretly downgrade the model version, shorten the context window, and render tool calls ineffective, while the API still returns a 200 OK response. Ordinary developers are completely unaware. Research monitoring 189 API endpoints revealed 37 undisclosed model changes on 29 endpoints within four months, while the response output appeared normal. @miranetwork officially launches Sterling The industry's first third-party verified AI inference service. It performs five checks on all service providers every two hours: Model identity verification Tool call availability Parameter compliance Silent fault detection Declaration context length verification Only requests are routed to verified service providers, and all service provider ratings are publicly available. Launch Highlights Initially supports Claude/GPT/Gemini; DeepSeek and GLM will be integrated soon. Up to 50% discount during launch period. Supports USDC/MIRA tokens with pay-as-you-go pricing; single API key required. http://sterling.mira.network AI AInference Web3AI