The agent worked around Fynance's JavaScript-heavy, minimally documented website by assembling understanding from web search results and external sources rather than the site itself. It successfully constructed a coherent explanation of Fynance's value proposition, pricing, and competitive positioning, but had to rely on third-party articles (Lunch Money blog, Yapily documentation) and prior knowledge to fill critical gaps the site did not expose.

• ›The Fynance homepage (steps [1], [7]) returned only compressed HTML with client-side JavaScript bundles—no semantic content, meta descriptions, or human-readable text was present in the response. The agent could not extract any information directly from the site itself.
• ›All substantive information came from web search results (steps [11], [29], [31], [33], [35]) and third-party articles: the Lunch Money blog (step [37]) provided positioning against alternatives; Yapily's documentation (cited from step [35]) explained the Open Banking infrastructure; and prior knowledge filled in pricing and feature details that the agent could not verify on fynance.nl directly.
• ›Standard pages like /pricing, /features, /about, /blog, /help, and /faq all returned 404 or empty JavaScript shells (steps [3]–[5], [23]–[25]). The agent had to guess at URL patterns and found no navigable entry points to documentation or support.
• ›The agent never accessed actual rendered page content from Fynance; every citation in the final response points either to external sources (Yapily, Lunch Money) or to the homepage URL as a generic reference. No feature details, pricing tiers, or company information came from fynance.nl's own pages.
• ›The site is effectively opaque to server-side content analysis and offers no static fallback, making it extremely difficult for agents without JavaScript execution to discover, understand, or differentiate Fynance from competitors.