I Found Firecrawl Too Expensive for My AI Agent's Knowledge Base, So I Built My Own

Short summary

A developer built Quorel to replace Firecrawl for their AI agent's data layer, addressing three core problems: scraped output is raw and unstructured, re-fetching wastes money and context window, and there's no way to track changes. Quorel structures website data into versioned, queryable APIs with native MCP support, letting agents request specific data slices. The tool is early-stage with a free plan and MCP included.

• •Repeated fetches of the same pages to Firecrawl waste cost and context window for AI agents
• •Quorel creates versioned, queryable APIs from websites so agents can request exactly what they need
• •Free tier includes native MCP support for direct agent integration

Generated with AI, which can make mistakes.