I built an API that gives AI answers grounded in real-time web search. How can i improve it?
artificial
I built an API that gives AI answers grounded in real-time web search. How can i improve it?
I've been building MIAPI for the past few months — it's an API that returns AI-generated answers backed by real web sources with inline citations. Some stats: Average response time: 1.2 seconds Pricing: $3.80/1K queries (vs Perplexity at $5+, ...
artificial

I built an API that gives AI answers grounded in real-time web search. How can i improve it?

I've been building MIAPI for the past few months — it's an API that returns AI-generated answers backed by real web sources with inline citations.

Some stats:

  • Average response time: 1.2 seconds
  • Pricing: $3.80/1K queries (vs Perplexity at $5+, Brave at $5-9)
  • Free tier: 500 queries/month
  • OpenAI-compatible (just change base_url)

What it supports:

  • Web-grounded answers with citations
  • Knowledge mode (answer from your own text/docs)
  • News search, image search
  • Streaming responses
  • Python SDK (pip install miapi-sdk)
  • MCP integration

I'm a solo developer and this is my first real product. Would love feedback on the API design, docs, or pricing.

https://miapi.uk

submitted by /u/Key-Asparagus5143
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