# Discovering FastGPT: When Search Becomes a Conversation
## Escaping the ad-heavy SEO sludge with clean, cited search answers.

It started on a Tuesday afternoon when I spent 20 minutes trying to find a straightforward comparison of SQLite WAL mode performance versus memory-mapped I/O. Every mainstream search engine result was an affiliate farm, a 3,000-word preamble about "what is a database", or an autogenerated content mill.

Frustrated, I remembered hearing about Kagi's developer tier and decided to test their **FastGPT API**.

Instead of scraping HTML or wading through advertising trackers, FastGPT provides a direct answer synthesized from clean indexes, accompanied by exact source citations:

```bash
curl -N -X POST "https://kagi.com/api/v0/fastgpt" \
  -H "Authorization: Bot YOUR_KAGI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "query": "What are the trade-offs of SQLite WAL mode vs mmap under high concurrency write workloads?",
    "cache": true
  }'
```

### Why it felt different:
1. **No Ad Pollution**: The citations didn't lead to SEO trap pages; they linked to genuine discussions, documentation, and source code.
2. **Instant Latency**: Responses stream back in milliseconds.
3. **Structured Citations**: Every claim is mapped back to verified web domains with zero link-tracking redirects.

🔗 **Official Resources:**
- [Kagi FastGPT API Reference](https://help.kagi.com/kagi/api/fastgpt.html)
- [Kagi Search API Documentation](https://help.kagi.com/kagi/api/search.html)