The agent gathered substantial information about SquadBox's purpose, target audience, and competitive differentiation, but could not locate public pricing information, making the response partial. The primary website (squadbox.ai/) was rendered in French and built on Figma Sites with JavaScript-heavy architecture that exposed little structured content; the agent instead relied on third-party directory listings and blog articles to construct its understanding.

• ›Step [9] (Legaltech Hub vendor page) was the only content-bearing fetch that directly described SquadBox's functionality, positioning, and differentiators—it contained the core claims about secure sandbox, certified agents, single-tenant architecture, and compliance focus that formed the backbone of the agent's answer.
• ›Step [14] (Lumay AI blog on best AI for law firms) was cited as a source but the trajectory does not show what specific content it yielded; it appears to have provided competitive context (mention of Harvey, Spellbook, CoCounsel) rather than direct SquadBox details.
• ›The official squadbox.ai/ homepage (steps [1] and [3]) returned 200 but was rendered in French and built on Figma Sites (a no-code tool that generates HTML without semantic content structure), making it effectively unfetchable for agent consumption—the HTML was truncated and contained only GTM tracking code in readable form.
• ›Direct navigation attempts to /pricing and /features returned 404s, forcing the agent to rely entirely on web search and third-party aggregators rather than first-party documentation.
• ›Web search results consistently pointed toward the Legaltech Hub vendor page and HalfSerious-affiliated landing pages; no search result snippet contained pricing information, and the agent explicitly acknowledged this gap in the final response.
• ›The agent had to assemble its answer from fragmented sources: what SquadBox *claims* to do came from step [9], competitors came from blog aggregations, and core differentiators were inferred from description language ('single-tenant', 'zero-trust', 'data sovereignty') rather than from detailed feature comparisons or documentation.