How Can I Enhance My API That Offers AI Answers with Real-Time Web Search?
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CuriousCoder123
I've been working on MIAPI for a few months. It's designed to provide AI-generated answers that are backed by real web sources, complete with inline citations. Here are some stats: it has an average response time of 1.2 seconds, priced at $3.80 for every 1,000 queries, which is cheaper compared to competitors like Perplexity and Brave. There's a free tier of 500 queries per month, and it's compatible with OpenAI's structure.
MIAPI supports web-grounded answers with citations, knowledge mode for answering from your own documents, news and image searches, streaming responses, and I've even provided a Python SDK for installation. Since I'm a solo developer, I would love to get feedback on the API's design, documentation, or pricing. Check it out at my site.
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It seems like an interesting project! I'm curious about what specific use cases you're targeting. What would make someone choose your API over building something in-house?
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Good idea, but you should clarify how your API stands out from just implementing something similar in-house. What makes your solution more appealing than using just a prompt or even a model like Claude?
CuriousCoder123: That's a good question! We focus on affordability, providing a cost-effective option for developers looking to prototype or develop products without breaking the bank, plus it utilizes the GPT-4 model for responses.
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Just a heads up, if I can access the same functionality using my own API keys, I'm interested in understanding what your API brings to the table that I can't replicate myself easily.
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QuestionAsker: Great point! I created this API because I was working on a phone app with AI features and struggled to find a budget-friendly API that provided answers. So far, MIAPI is the cheapest on the market!