The agent successfully synthesized a comprehensive explanation of ExPASy from its homepage and Wikipedia entry. The site was moderately agent-ready: core facts (mission, tool count, domains, features) were directly stated on the homepage, but differentiation from competitors had to be assembled from search results and model inference, and pricing-related details (free/open-access) were inferred from absence of cost information rather than explicit statements.

• ›The homepage [1–3] directly answered what ExPASy does, who it's for, and its core differentiators (breadth, institutional backing, specialized domains), making those sections straightforward to extract.
• ›Pricing was nowhere explicitly stated on the site; the agent correctly inferred a free model from (a) the absence of pricing language, (b) non-profit institutional backing, and (c) typical open-access patterns in academic bioinformatics—a reasonable inference but not site-stated fact.
• ›Comparison to alternatives (NCBI, Ensembl, UCSC Genome Browser) came entirely from search results [4] and model memory; the ExPASy site itself does not position or compare itself against competitors, forcing the agent to fill this gap externally.
• ›The Wikipedia entry [5] provided historical context (August 1993 founding, 'first life sciences website') that the homepage did not, demonstrating that Wikipedia became a critical supplementary source for a complete narrative.
• ›The agent correctly cited sources [1, 5] but the search step [4] was routing-only and not content-bearing (search results mentioned alternatives but no detailed comparison); the agent did not misuse it as a citation source.