The agent successfully assembled a comprehensive overview of blockful by combining direct site visits with web search. The site itself provides clear positioning, audience segmentation, and case studies, but critically fails to publish pricing or business model details—forcing the agent to work around this gap using external sources and inference. The agent fulfilled the task with useful caveats about what remains opaque.

• ›Steps [0], [1], [2], [3], [4], [6] returned well-structured landing pages with meta descriptions, page titles, and audience-specific messaging (foundations, delegates, VCs) that directly answered 'who it's for' and 'what they do.' These pages surface blockful's value prop clearly and were the foundation of the final answer.
• ›The site explicitly cites its contributions to specific DAOs (Arbitrum, ENS, Optimism, Superfluid, Scroll, Uniswap; visible via step [9] /contributions page) and the agent was able to pull the ENS hostile-takeover case study as proof of differentiation—this is well-surfaced on-site and cited in the sources.
• ›Pricing is entirely absent from the site ([0] through [6] returned no pricing information). Step [7] and subsequent searches ([16], [22], [24]) yielded no public pricing data. The agent correctly identified this gap and disclosed it as a key limitation rather than speculating.
• ›Steps [19], [20], [21] on Anticapture (blockful's open-source dashboard) were content-bearing for understanding their product suite and business model differentiation (free/open-source + paid consulting). This URL was discovered via search, not direct site navigation.
• ›The agent had to rely on prior knowledge + external search to infer a 'consulting-based, project-scoped model' rather than finding it explicitly documented on blockful.io. The site does not publish its revenue model, team size, or funding status.
• ›Meta descriptions on homepage and subpages ([0], [2], [3], [4], [6]) are well-written and keyword-rich, making the site discoverable and quickly graspable by both humans and agents. The information architecture (separate pages for foundations, delegates, VCs) is agent-friendly.