The agent successfully gathered most information needed to explain ONYX Home Solutions, but encountered a significant gap: the site contains no public pricing information whatsoever. The agent assembled the answer from a mix of JavaScript-rendered pages (which were largely opaque) and the llms.txt machine-readable summary, which proved to be the most reliable source. The site is moderately navigable but heavily JavaScript-dependent, forcing reliance on metadata rather than rendered content.

• ›The llms.txt artifact (step 7) was the only source providing coherent, extractable information about what the company does, who it serves, and their service area—the rendered HTML pages returned 4400+ chars of boilerplate JS without readable content, making it unusable without rendering.
• ›The sitemap (step 18) enabled discovery of service detail pages, but those pages also returned JavaScript-heavy responses with no extractable text visible in the raw fetch. The agent had to infer service offerings from the llms.txt metadata and routing structure rather than page content.
• ›The site publishes no pricing page, pricing ranges, or cost estimates anywhere—even a 404 lookup for /pricing confirmed the absence. The agent correctly identified this as the task's primary failure point, grounded in a genuine navigational attempt rather than incomplete exploration.
• ›The agent's final answer correctly cites the llms.txt content (company summary, owner name, service area, framework name, license number, contact info) as its factual foundation, showing explicit dependence on that one machine-readable artifact.
• ›The site is agent-ready for discovery and basic identity (via llms.txt and sitemap structure) but deliberately opaque on pricing and lacks portfolio/case study pages—signaling a premium, consultation-first model rather than a self-service pricing transparency strategy.