How Can I Build a Frontend for Dynamic Visualization of Different Financial APIs?

You definitely should implement a normalization layer between the APIs and your frontend. Fetch the unprocessed data, and then use a parser to check the keys and value types, looking for numeric arrays or timestamps. Set up rules like: "if a numeric time-series field is detected, chart it; otherwise, display it as a table or JSON view." Libraries like Lodash can assist with object traversal, and D3.js or Chart.js can be used for creating charts. Plus, allowing users to manually map fields can enhance the robustness of your solution.

You could even pass the data to a tool like ChatGPT and ask it to help build the chart! 😂 It's a funny idea, but honestly, this really could be a case where machine learning comes into play. It’s similar to identifying spam emails when content varies widely. You'd need some sort of recognition model to assess the format and content.

You’ll want an interpretation layer that can transform the incoming data into a standardized format. Consider using AI for this—whenever a new API is added that's unrecognized, you can have it send the data to an AI agent which can analyze and map it to your predefined structure. The mappings can be saved against each API domain so that future requests don’t need to go through the AI again. Alternatively, you could develop these mappings yourself when integrating each API.

Look into using the BFF (Backend for Frontend) pattern. While you'll need to understand the various data shapes of the APIs, you can keep all the mappings centralized in your BFF. This way, your client side can work with a unified model or shape.