Reviewers say Context.dev is easy to integrate, fast, and dependable, especially as a web-fetch layer for AI agents. Users highlight clean markdown output that strips junk before sending pages to LLMs, plus useful enrichment endpoints that save custom scraping work. A user also praised it for meeting-prep research. Founders from
Migma AI and
Notra back that up, citing strong result quality, speed, support, and no strict browser-concurrency limit. Main drawbacks: docs could use more examples, brand color extraction needs polish, and compliance visibility is unclear.