The agent successfully understood Instanodes' core offering, target audience, pricing model, and competitive differentiation through web search and prior knowledge, rather than direct site navigation. The website itself proved difficult to parse programmatically (all fetches returned truncated HTML), forcing the agent to rely on search results and external comparisons to construct a complete answer. The site publishes information across multiple pages but does not make it easily accessible to automated systems in a single, structured resource.

• ›All direct fetches of instanodes.io returned truncated HTML (4400+ chars truncated), making the rendered content inaccessible. The agent pivoted to web search and discovered the actual content through search result snippets and linked resources.
• ›Search steps [12], [14], [15], [20], [21] returned structured link metadata and snippet text that directly answered questions about what Instanodes does, their pricing model, validator services, RaaS platform, and competitive positioning. These searches seeded the agent's understanding of the service landscape (RPC endpoints, 50+ chains, SLAs, rollups, appchains).
• ›The agent explicitly cited sources from search results (e.g., 'Dedicated RPC Node Provider', 'Non-Custodial Validator Node Service', 'Rollup as a Service'), confirming that search snippets themselves carried the answer rather than requiring follow-up fetches of the actual pages.
• ›Pricing details were partially retrieved but incomplete—the agent noted that actual per-request costs, compute limits, and RaaS pricing are not publicly listed in detail, suggesting the site keeps granular pricing behind signup or contact forms.
• ›The site's information is distributed across many pages (/pricing, /solutions/rpc-api, /node-as-a-service, /instanodes-vs-other-node-providers-what-sets-us-apart), but the direct navigation path was blocked by HTML truncation; search indexing was the only viable path to discovery.