The agent successfully assembled a comprehensive explanation of Valyu's business model, pricing, target users, and competitive positioning by combining structured markdown files (pricing.md, llms.txt, llms-full.txt, agents.md) with web search results comparing Valyu to competitors. The site is moderately agent-ready: it publishes key information in machine-readable markdown formats and maintains well-known artifact files, but HTML pages were truncated and required the agent to fall back on alternative sources; pricing details and positioning required manual assembly across multiple fragments.

• ›Step [6] (pricing.md) was the primary content source for pricing structure, credit model, tier details, and Deep Research pricing—published as clean markdown, making it directly parseable by the agent.
• ›Steps [7] and [10] (llms.txt, llms-full.txt) provided the core positioning statement ('One API to search specialist, proprietary and web sources') and navigation structure, surfaced via well-known artifact patterns—the site intentionally publishes these for agent consumption.
• ›Step [9] (agents.md) contained the setup runbook and tool invocation patterns, but was less critical to the evaluation task; it confirms the site supports agent onboarding via structured markdown.
• ›Steps [14] and [15] (web search) were necessary because HTML pages at /finance, /life-sciences, and the main homepage all returned truncated responses; the agent could not extract marketing copy, use cases, or competitive differentiation from the primary site alone and had to search for Medium articles and documentation comparisons.
• ›The agent cited Medium articles comparing Valyu to Tavily and Exa in the final source list, indicating it relied on third-party positioning rather than Valyu's own competitive claims—the site does not appear to publish a direct 'Valyu vs. Competitors' page.
• ›Pricing details were complete and clear in markdown form, but source coverage lists were intentionally opaque (agent notes: 'They mention 50+ proprietary sources but don't publish a complete list'), requiring users to run CLI commands or contact sales—this is a deliberate disclosure boundary, not a navigation failure.