# Overview The Arkane Cloud Inference API offers a suite of endpoints for different machine learning models, enabling you to leverage state-of-the-art technologies in your applications. Our APIs are designed to be robust, scalable, and easy to integrate. ### Getting Started New to Arkane Cloud? Follow the [Getting Started](#getting-started) guide to create an account and fund your project before making API requests. You can use [inference models](https://console.arkanecloud.com/models) to send requests to them and get responses. For example, you can send a prompt, chat history or image, and get the image description or an answer to the asked question. To test the models, use the [Arkane Cloud playground](https://console.arkanecloud.com/playground). It displays the characteristics of the models, so you can compare them. Additionally, you can send requests to any supported model in the playground. Once you have finished testing, use the [Arkane Cloud API](/arkane-cloud/api-reference/api-reference.md) and build an application that sends requests to AI models. ### Authorization To access and use these API endpoints, authorization is required. Please visit our [Authorization](/arkane-cloud/inference/authorization.md) page for detailed instructions on obtaining and using a bearer token for secure API access. ### API Endpoints * **Audio Models** * **Image Models** ### Support If you have questions, please feel free to [reach out](mailto:support@arkanecloud.com), and we will gladly get back to you! --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://docs.arkanecloud.com/arkane-cloud/inference/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.