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In order to embed AI Analyst into your application, you need to follow a few simple steps. First, navigate to the AI Analyst builder within your application. Look for the "eye" button, which is typically used to preview or generate a shareable link. By clicking on this button, you will create a link that can be embedded into your JavaScript application as an iframe. This allows you to seamlessly integrate AI Analyst's functionality into your existing user interface, providing users with powerful analytical tools at their fingertips.
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Moreover, if you want to integrate the logic of the AI Agent into your backend systems, you can make use of the provided API. This API allows you to automate and customize the behavior of the AI Agent according to your specific needs. To obtain an API key, go to the settings menu, then navigate to the API keys section. Here, you can create a new API key for yourself. This key will grant you access to the various endpoints and functionalities offered by the AI Analyst API, enabling deeper integration and more advanced use cases.
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By leveraging both the iframe embedding method and the API integration, you can fully harness the capabilities of AI Analyst in both the frontend and backend of your application, providing a comprehensive and robust analytical solution for your users.
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