Paying Claude's price for a bean bun? You know to check the quality when buying a graphics card, but when debugging AI, you often only recognize the model name on the API, and if it responds, you assume the delivery is fine. But tools can't be debugged, context is reduced, and the API might still return normal. The agent breaks down halfway through, and you're still going through the code, wondering if you've messed it up @miranetwork's Sterling added checks to the model service delivery step. Mira listed 5 check dimensions: model identity, tool calls, parameter compliance, silent failures, and context length. Service providers are tested regularly, and scores are publicly given based on the model and service provider. According to the product description, Sterling routes requests to verified service providers. The scores are based on sampling tests, and you can see which items were tested and which failed on the page. With API integration, at least there's something to check, and another entry point for troubleshooting. Access uses a single API key, supporting Claude, GPT, and Gemini, and is compatible with the OpenAI interface. Top up with USDC or MIRA, and be charged based on usage. For those who frequently work with Agents and third-party APIs, check the service providers for your commonly used models, their test logs, and update times before deciding who to delegate requests to https://sterling.mira.network/verification/