AI API Playground Router
Describe your task and get the best API recommendation — complete with starter code, optimal settings, and ranked alternatives.
Frequently asked questions
How does the router choose which API to recommend?+
Your task description, priority, and budget are analyzed by an AI model on our server, which classifies the task (complexity, latency and cost sensitivity, reasoning depth) and returns a primary recommendation with reasoning, ranked alternatives, suggested settings, and starter code. It is an AI-generated recommendation, not a fixed lookup table.
Is my task description kept private?+
Your description is sent to our server and processed by a third-party AI model to generate the recommendation. Do not paste API keys, credentials, customer data, or anything confidential — a general description of the task is all the router needs.
How accurate are the cost and latency estimates?+
They are AI-generated approximations based on the model’s knowledge of provider pricing, and they can be outdated or off for your specific token volumes. Verify costs against the provider’s official pricing page, or use our API Cost Router calculator for deterministic math based on your exact token counts.
Can I use the starter code directly?+
Treat it as a starting point. The snippets are generated to be runnable with the correct imports, but model names, SDK versions, and API signatures change over time, so test the code and check the provider’s current documentation before shipping anything to production.
Is this tool free?+
Yes. Generating recommendations is free and requires no account or API key. The costs shown in the results refer to what you would pay the API provider if you adopt the recommended model, not to using this tool.
How is this different from the API Cost Router?+
This tool gives a qualitative recommendation: you describe a task in plain language and an AI suggests the best model, settings, and code. The API Cost Router is a deterministic calculator that computes exact costs across a fixed table of models from your token counts and run volume. Use this to shortlist a model, then the cost router to budget it.