The agent assembled a comprehensive explanation of Galoy's purpose, target market, products, and differentiation, but had to work around a nearly barren official website by relying heavily on web search, prior knowledge, and external sources. The galoy.io homepage provided only a one-line meta description; almost all substantive details (Cala, Lana, Bria product names and features) came from search results and referenced external sites, not from the site itself. Pricing remained completely opaque despite multiple targeted searches.

• ›The official galoy.io site (steps [0], [5], [7]) is hosted on GitHub Pages and contains almost no navigable content—the homepage HTML was truncated but clearly minimal, and direct attempts to fetch /pricing, /about, /docs, /solutions all returned 404s. The site's meta description ('core banking system for software-native banks. One ledger for dollars, euros, Bitcoin and stablecoins') was the only official self-description available.
• ›The agent had to rely on web search (steps [4], [6], [8], [11], [13], [14], [15]) to find substantive product information. Search results pointed to blog posts, third-party platforms (Crunchbase, CB Insights, SourceForge), and a GitHub organization (GaloyMoney) where the actual product details lived. The Cala ledger was discovered via search result linking to cala.sh, not from galoy.io.
• ›Pricing information was entirely absent from both the official site and search results. The agent explicitly flagged this as 'completely opaque' and noted the lack of public pricing makes it 'impossible to evaluate affordability'—a critical gap for a B2B product evaluation task.
• ›The agent relied on cited external sources (Bitcoin Magazine article, CB Insights, GitHub, Lightning News) more than the official site itself, indicating the site does not serve as a primary reference for understanding Galoy's offering. The final response lists 6 sources; only 2 point to galoy.io domain, and those are generic landing pages without detailed product or pricing information.
• ›The site's structure suggests it is intentionally minimal, likely designed to funnel visitors to a sales team rather than self-serve information discovery. This creates friction for agent-driven evaluation, as structured data, pricing tables, and product documentation that machines and LLMs rely on are absent.