The agent assembled a coherent explanation of what PredictQ does and who it serves by combining fragments from the homepage, the /about page, and the X/Twitter profile, but could not locate pricing information despite 10+ targeted searches. The site's pricing details are either not publicly available, not machine-readable in the HTML the agent could access, or gated behind a sign-up flow—making the site only partially navigable for this discovery task.

• ›Step [1] (homepage) and Step [3] (/about page) were the only successful site fetches that returned 200 status; they contained core positioning ('Where the world analyzes, talks, and trades prediction markets,' 'The Edge You Deserve') and team names (Justin Herzig, Cam MacMillan) but did not render pricing or feature details in plain-text HTML.
• ›Step [22] (X/Twitter profile) was explicitly cited and provided secondary confirmation of PredictQ's identity and community-focused positioning, but Twitter is not the canonical source for pricing or product details.
• ›Standard navigation paths (/pricing, /features, /blog, /help, /faq) all returned 404 errors (steps [2], [4], [7], [8], [9]), indicating either a sparse site structure or that critical information is gated behind authentication or JavaScript rendering. The agent's web searches (42% of source attribution) consistently returned the homepage or competitors (PredictHQ) rather than pricing-specific content, suggesting pricing is not publicly indexed or does not exist in a published form.
• ›The agent inferred beta/waitlist status and freemium potential from homepage text ('first in line for what's still to come'), but could not confirm the business model, tiers, or cost. This is a gap between what the task required and what the site exposed.