The agent assembled a reasonably complete overview of БашкирЭнергоАудит's thermal imaging and energy audit services by combining web search results (which surfaced the company name and service category) with structured data from the WordPress REST API (which exposed pricing and page metadata). The site is moderately navigable but relies heavily on prior knowledge and API fallback; the HTML pages themselves were not successfully parsed for content, forcing the agent to pivot to the REST API and search to extract actionable information.

• ›Step [8] (web search) was the only step that returned interpretable text snippets about the company's business model, location, and service names — the direct HTML fetches (steps [1–6, 9]) all returned truncated markup without visible content extraction, suggesting the site's content is either JavaScript-rendered or the agent could not parse it.
• ›Step [11] (WordPress REST API /wp-json/wp/v2/pages) was the sole source of pricing data and structured page metadata; the agent explicitly used this to construct the pricing table, indicating the API is more agent-friendly than the rendered HTML.
• ›The agent had to guess at URL paths (/uslugi, /ceny, /o-kompanii, /contact, /price) based on Russian naming conventions and prior knowledge (57% of fetch sources came from prior knowledge), rather than discovering them from a navigation menu or sitemap.
• ›Critical information gaps remain: the agent flagged missing competitive differentiation, detailed service descriptions, case studies, equipment specs, and report methodologies — none of which were exposed by the fetched content or API responses, indicating the site does not surface these details in machine-readable form.