The agent successfully explained Tessary's core product, target users, and key features by fetching multiple technical documentation pages and blog posts, but could not find publicly listed pricing or detailed competitive differentiation—both explicitly requested by the user. The site publishes feature-focused content and positioning pages but does not surface business model details in fetchable form; pricing requires a demo call.

• ›Content-bearing fetches (steps 13–32, all returning 200 status) revealed Tessary's positioning around agent reliability, trace reading, automatic root-cause analysis, and evals without labeled data. The agent cited 7 URLs directly from tessary.ai in its final response, all successfully fetched.
• ›Pricing information does not exist on the published website. The agent attempted /pricing (404), searched for 'site:tessary.ai pricing' (no results), and searched the web (returned unrelated products like Tess AI and Tesorai). The site directs pricing inquiries to demo calls only, which is not machine-readable.
• ›Competitive differentiation was inferred from blog post URLs and positioning pages (e.g., 'agent-reliability-vs-llm-observability', 'best-agent-eval-tools', 'alternatives-to-sampling-traces') but the actual content of those pages was truncated in responses (all fetches returned HTML truncated at ~4400 characters). The agent could not access full comparison details despite multiple fetch attempts.
• ›The site is highly technical and documentation-focused (OpenTelemetry, OTLP, semantic conventions), with extensive blog and guide URLs visible in the sitemap, but the HTML responses were consistently truncated, preventing the agent from extracting full narrative content. This is a rendering/response issue, not a site architecture issue.
• ›The agent relied on prior knowledge (5%) and web search (16%) to infer product positioning after local fetches failed to return complete text. This suggests the site's Astro-based rendering or response truncation created a barrier to machine-readable understanding despite the pages existing.