Firecrawl vs Tavily for an AI agent: 97% vs 82% fact recall, and why retrieval breadth decides grounding
This story is from 2026-10-09. It is preserved in the archive; the latest stories are on the live feed.
I run a competitor-research agent: give it a company URL and it finds and verifies that company's competitors. It is framework-free (a raw tool-calling loop on Gemini), and it has a deterministic fabrication check: every page the agent cites must be in the ledger of pages my code actually fetched.…
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- 2026-10-09 14:54 · DEV Community — AI
Firecrawl vs Tavily for an AI agent: 97% vs 82% fact recall, and why retrieval breadth decides grounding