The agent assembled a comprehensive profile of OZ Lifting Products by navigating the site's core pages and extracting positioning, product categories, and business model information. The site was reasonably navigable for discovery, but pricing and distributor information—critical for a full business understanding—were either absent or inaccessible, forcing the agent to acknowledge these gaps explicitly in the final answer.

• ›Step [1] (homepage) and step [3] (about page) yielded high-level positioning and tagline; step [3]'s API response (fetched in [7]) contained the core 'Why OZ?' differentiator narrative emphasizing quality over cost, which became central to the agent's answer.
• ›Product categories and details emerged from steps [10], [13], [22] (davit cranes, manual chain hoists, electric hoists category pages), where the agent discovered breadth of offerings. These pages exist as navigable category archives, suggesting the site organizes products clearly.
• ›Pricing is genuinely absent—step [4] (/pricing) returned 404, and product pages shown in responses do not contain prices, confirming the site does not publish pricing publicly. This is a critical gap the agent correctly called out as 'missing' rather than unseen.
• ›The agent discovered the site uses WordPress + WooCommerce (evident from REST API endpoints in steps [6–9], [12]), but the WooCommerce products API (step [12]) returned 401 Unauthorized, preventing direct product data retrieval. The agent had to rely on HTML page navigation instead.
• ›Distributor directory does not exist or is not discoverable—the agent searched (/contact returned 404 in step [11], /quote returned 404 in step [15]). The agent correctly identified this as missing rather than found.
• ›Blog and FAQ pages (steps [5], [16], [23–24]) exist and are navigable; the FAQ response was truncated, preventing full access to Q&A content, but the agent noted this limitation transparently.
• ›72% of fetches came from 'previous_artifact' (likely prior knowledge of URL patterns), indicating the agent relied heavily on guessing URLs rather than discovering them through site navigation—suggesting the site's IA or internal linking may not have been fully traversed.