I checked out Mira's Sterling feature, and it's quite interesting. It addresses the issue of whether intermediaries in the AI model supply chain are cutting corners. Specifically, many people are now using the APIs of Claude, GPT, and Gemini, however, these APIs often pass through various "providers." This wouldn't normally be a problem, but the problem is that you might receive a stripped-down version, but you're paying for the original model. Some providers will secretly use smaller models, making it difficult to prevent. Some tool calls are frequently unreliable, with parameters behaving incorrectly, or even silently failing. At this point, you might have no idea whether you're actually using the genuine product. Mira's Sterling aims to solve this problem: They first continuously test various providers to see if they are honestly providing the model you need; Their testing includes five dimensions: from whether it's a genuine model/whether the tool calls are working correctly, to whether the parameters are followed/whether there are any hidden failures/whether the context is truncated. Then, the test results are made public, making it immediately clear who is reliable and who is unreliable. For users, it's very simple: just change the base URL and get a key; almost no code changes are needed. Your requests will be automatically routed to suppliers that passed the tests. To attract users, initially, the price is lower than the official price, and payment can even be made with USDC or MIRA tokens. In summary, it's like an intermediary layer that helps you filter out obviously unreliable model suppliers, and there's even the possibility of getting a price discount.