Firecrawl updates /search endpoint with extraction model
Firecrawl upgraded its /search endpoint with a model that extracts query-specific answer excerpts instead of returning raw web pages. This update reduces token consumption tenfold while scoring 94.7% on SimpleQA.
Direct extraction of relevant context at the search level is a major efficiency boost for agentic workflows, dramatically slashing token costs and latency without sacrificing retrieval quality.
- –Uses a custom-trained model to return concise context snippets targeted to the user query.
- –Reduces token consumption by 10x compared to ingesting entire web pages.
- –Outperforms competing search providers on SimpleQA with a score of 94.7%.
- –Deployed live by default across all standard Firecrawl /search API requests.
DISCOVERED
3h ago
2026-07-24
PUBLISHED
8h ago
2026-07-24
RELEVANCE
AUTHOR
[REDACTED]