The agent successfully identified what Dikaia does, who it serves, and key differentiators by fetching product pages and the Axia calculator tool, but could not complete the pricing task despite multiple direct attempts and web searches. The site's JavaScript-heavy architecture and dynamic content loading made it difficult to extract pricing data from static responses, and the company appears to gate pricing behind login or direct contact.

• ›Steps [6] and [10] (AXIA and ARGOS product pages) returned HTML but the agent could not extract detailed feature or pricing info from the truncated responses, relying instead on prior knowledge and search snippets to populate the final answer.
• ›Step [16] (axia.dikaia.io/) and [17] (axia.dikaia.io/cotizador) were fetched but returned only truncated HTML boilerplate with no visible pricing or tier information in the response excerpts—a strong signal that pricing is either behind login, rendered client-side, or intentionally not published.
• ›The agent discovered product names (AXIA, ARGOS, GNOSIS, ERGON, FORUM, PACT, SCRIBE, PYTHIA, LUMEN, AEGIS, PRAXIS, UMBRA) and the Paraguay-specific focus from search snippets and blog content, not from structured navigation on the main site; the site's /pricing, /products, and /about routes all returned 404s or redirects, forcing reliance on guessed URLs and web search.
• ›The site is JavaScript-rendered (Next.js) with dynamic content, making static HTML fetches unreliable for extracting information; pricing appears intentionally obscured from public crawl, consistent with B2B legal software sales patterns but poor for agent discoverability.