The agent gathered core facts about TriTimes from three pages (homepage, FAQ, races directory) but could not answer the pricing question because the site does not state it. The site surfaces its purpose and data model clearly, but lacks an About/Contact page, pricing documentation, and complete definition of key features like 'full field distributions.'

• ›The homepage and FAQ explicitly state TriTimes is independent and unofficial, uses the Competitor.com API (not scraping), and has ~1,539 races in its directory. These facts came directly from fetched site pages and require no model inference.
• ›Pricing is genuinely absent from the site—the agent checked homepage, FAQ, and races pages, none of which mention cost, subscription, or login. This is a real gap in the site's disclosure, not a discovery failure.
• ›The agent inferred the target audience (age-group triathletes) from the feature set and tagline rather than from explicit site copy. The site does not state 'who it's for' directly.
• ›The races directory page was truncated at ~100k of ~172k characters, blocking a complete view of coverage depth and year ranges. The agent cited this limitation and did not fabricate missing data.
• ›The site offers no explicit comparison with alternative race-analysis services, so the agent correctly reported only TriTimes' own stated differentiator (full-field distribution views) without inventing competitors or features.