The agent satisfied the task by assembling a comprehensive explanation of Arnica from multiple sources. The arnica.io site itself is minimal and incomplete — many standard pages return 404s, and the pricing page HTML was truncated. The agent successfully compensated by using web search to discover third-party review sites (AppSec Santa, PeerSpot) and Arnica's own scattered pages (Pipelineless Security, Arnie AI solutions), then synthesized them into a coherent narrative covering what Arnica does, who it's for, pricing structure, and differentiation. The site is navigable but sparse; most actionable detail exists outside arnica.io.

• ›Step [0] (homepage) and [1] (pricing page) were fetchable but the pricing HTML was truncated; the agent could not extract complete tier details from arnica.io alone and had to rely on external sources and prior knowledge to fill gaps.
• ›Steps [10], [12], [19] (FAQs, Arnie AI page, Pipelineless Security page) were discovered via web search, not via navigation from the homepage. The site's internal structure is fragmented—standard pages like /about, /features, /docs, /solutions all return 404s, forcing the agent to guess URLs and eventually search externally.
• ›Steps [20] (AppSec Santa review) and [15] (AppSec Santa alternatives) were critical for understanding Arnica's competitive positioning and pricing tiers; these external review sites contained more structured, complete information than arnica.io's own pages. The agent had to synthesize across sources rather than retrieve a single authoritative page.
• ›The site publishes core messaging (ASPM platform, pipelineless approach, security scanning types) consistently across fetched pages, but lacks dedicated product overview, features, or detailed comparison pages. Pricing is presented but incomplete; enterprise tier details and add-on pricing required inference from external sources.