Building Reliable Web Access for AI Agents: Search, Crawl, Markdown, and Screenshots

AI agents are only as useful as the context they can reach. For many product, research, support, and competitive-intelligence workflows, that context lives on public websites: documentation pages, changelogs, pricing pages, articles, search results, screenshots, and long-tail reference content.

The hard part is not simply "scraping a page." The hard part is giving an agent a repeatable web access layer that can:

search for candidate sources,

fetch static pages cheaply,

render JavaScript-heavy pages when needed,