AI Research & Engineering
EU AI Act & GDPR Compliance in Autonomous B2B Scraping
Published August 2026 • By Lakome AI Research Team
Autonomous AI agents require specialized infrastructure to extract web intelligence without token bloat, captcha locks, or rate limits. Lakome provides standard Model Context Protocol (MCP) tooling designed specifically for high-velocity AI sales pipelines.
Technical Overview
Traditional scrapers return raw HTML or verbose JSON objects that quickly exhaust LLM context windows. By transforming raw web data into compressed, structured Markdown at the edge, Lakome cuts prompt token overhead by up to 65%.
Key Takeaways
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High-concurrency proxy pools: Residential networks guarantee 99.99% scraping success rates.
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Token-dense Markdown: Cuts prompt context window consumption by up to 65%.
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7-Day Edge Memory Cache: Frequently requested profiles served in under 100ms with zero extra cost.