The agent successfully assembled a comprehensive explanation of what Orbits does, who it serves, and how it differs from competitors—but could not locate pricing information despite systematic searching. The website provided sufficient product-level information through its homepage, about page, and llms.txt artifact, but offered no navigable pricing resource, forcing the agent to acknowledge a critical gap in answering the full task.

• ›Step [1] (homepage) and step [18] (llms.txt) contained the bulk of product positioning, feature list, and AI assistant details ('Bit', household consolidation, proactive coordination). These were the primary sources for 'what they do' and 'who it's for.'
• ›Step [5] (about page) reinforced the company narrative but did not add pricing or differentiation details; the agent cited it as a source but extracted limited new information from it.
• ›Steps [11] and [12] (App Store and Google Play listings) were fetched with the hope of finding pricing, but the response bodies were truncated and did not expose pricing tiers or cost in the returned HTML fragments.
• ›The /pricing URL returned a 404 (step [2]), and alternative guesses like /features (step [4]) and /compare (step [7]) also failed, indicating the site does not publish pricing as a dedicated page resource.
• ›The agent relied heavily on web search (steps [6], [10], [13], [14], [15], [16], [19]) to hunt for pricing, but those searches returned competitor comparisons (Ollie vs. Ohai) and unrelated products, not Orbits pricing details—indicating thin third-party coverage.
• ›The llms.txt artifact (step [18]) was well-formed and agent-friendly, containing structured product description, but did not include pricing information either, suggesting pricing is intentionally omitted from public-facing documentation.