The agent partially assembled an understanding of Keboola by fetching markdown versions of the pricing, product overview, about, use cases, data apps, and data templates pages. However, the run was abandoned and produced no final outcome report, indicating the agent failed to deliver a cohesive, publishable answer despite collecting relevant content. The site required the agent to guess URL patterns and fall back to prior knowledge (47%) rather than discover resources through navigation, and several expected pages (features, integrations, solutions, why-keboola) returned 404s, fragmenting the discovery process.

• ›The agent successfully retrieved markdown versions of core pages (pricing.md, product/overview.md, about.md, use-case.md, product/data-apps.md, product/data-templates.md) that contained substantive answers to what Keboola does, pricing tiers, and who it's for.
• ›The site's navigation was not machine-traversable; the agent had to guess URLs directly (prior_knowledge: 47%) rather than follow discoverable links. Several guesses returned 404s (product/features, why-keboola, solutions, integrations.md), suggesting the site's information architecture is not fully exposed or navigable by agents.
• ›The markdown extraction worked well for pages that exist, but the agent could not build a complete understanding of differentiation or alternatives because those pages either don't exist or weren't discovered. The run was abandoned, meaning the agent did not synthesize its findings into a final response despite collecting relevant fragments.