The agent assembled a comprehensive explanation of Inngest's purpose, pricing, positioning, and differentiation by combining direct site fetches (homepage, pricing, docs, blog) with prior knowledge and web search. The site's HTML was fetched but rendered as truncated markup; the agent relied heavily on prior knowledge (60%) to construct the final answer, supplemented by search results. Critical pricing details were unavailable from the site's pricing page itself, forcing reliance on third-party sources.

• ›Step [1] (homepage) and steps [2–3] (pricing, docs) returned only truncated HTML snippets, providing no machine-readable or clearly extractable content—the agent could not parse actual pricing tiers, feature details, or positioning from the primary site.
• ›Step [6] (blog/introducing-inngest) was similarly truncated and was cited in sources but did not appear to supply substantive content to the final answer based on what was returned.
• ›The agent relied on prior knowledge (60% sourced via 'prior knowledge / direct guess') to construct the core answer: what Inngest does, who it's for, pricing structure ($50/million executions model, Pro/Enterprise tiers), and competitive positioning. This knowledge was not visibly extracted from the site fetches in the trajectory.
• ›Web search results [5, 7] pointed to third-party review and pricing aggregator sites (spotsaas.com, toolradar.com, techjockey.com) rather than Inngest's own pricing page; the agent's pricing information appears sourced from these external summaries, not the official site.
• ›The agent explicitly noted friction: pricing page 'didn't load with clear text content' and 'feature matrix' was not found on the site, indicating the site does not expose pricing and features in a machine-readable or easily parseable form.
• ›Site navigability for agents is poor: no structured data (JSON-LD, microdata) visible in fetches; HTML rendering truncated; key commercial pages (pricing) not agent-accessible; agent forced to synthesize from prior knowledge and third-party aggregators.