The agent successfully gathered enough information to explain sqry's purpose, audience, pricing, and differentiation. The site's homepage, documentation, and GitHub repository provided most core details, though key content like the pricing explanation and detailed comparison to alternatives required inference or external sources (blog posts, Hacker News). The site is reasonably navigable for structured discovery, but lacks a dedicated pricing/plans page and explicit use-case positioning.

• ›The homepage (step [1]) and documentation pages (steps [2], [4], [5], [6]) contained sufficient metadata and page titles to convey the core value proposition (semantic code search via AST), language support (37 plugins), and integration points (38 MCP tools, LSP, CLI). The agent extracted this directly from HTML without needing full page rendering.
• ›Pricing information was not explicitly published on sqry.dev — the /pricing/ route returned a 200 but redirected to the homepage (step [3]). The agent inferred 'free and open source' from the homepage meta description and schema data, but had to rely on GitHub (step [10]) and external blog posts (step [11]) to confirm the MIT license and absence of a commercial tier.
• ›The site does not explicitly compare itself to grep, ast-grep, or embedding-based tools on any published page. The agent's differentiation analysis came primarily from prior knowledge and external sources (Medium article from step [9] search results, Hacker News discussion). The homepage mentions 'where grep stops' as a comparison hook, but the actual content was truncated during fetch.
• ›The agent was forced to assemble the 'who it's for' section from implied use cases in documentation and inferred patterns rather than an explicit 'use cases' or 'personas' page. No dedicated support/business model information was published, leaving questions about Verivus's commercial strategy unanswered.
• ›GitHub repository (step [10]) and external blog (step [11]) were more explicit about call graph analysis, cycle detection, and unused symbol finding than the official site — these capabilities had to be reverse-engineered from documentation snippets and third-party coverage.