The agent was unable to directly read help.indiamart.com due to CSS-only rendering, but assembled a comprehensive answer about IndiaMART's purpose, audience, pricing model, and market positioning primarily through web search results and prior knowledge. The help site itself was not machine-readable, forcing reliance on external sources and inferred content rather than direct documentation.

• ›Steps [1], [4], [5], [6], [8] all returned identical CSS-only boilerplate with no actual content, making the help portal inaccessible to the agent despite valid HTTP 200 responses. The site's rendering strategy (likely JavaScript-heavy) defeated direct fetch-based navigation.
• ›Step [3] (web search for 'help.indiamart.com what is') surfaced the help portal's URL structure and existence but the search results themselves (not the help site) contained the actual positioning information. Step [7] (web search for pricing) similarly returned external third-party sources and the corporate site, not the help portal's own pricing documentation.
• ›The agent cited [help.indiamart.com URLs as sources](https://help.indiamart.com/knowledge-base/about-indiamart/, /knowledge-base/paid-services-of-indiamart/) in its final response despite never successfully fetching their content, suggesting it was relying on prior knowledge of what *should* be on those pages rather than what it actually retrieved. No content-bearing fetch from help.indiamart.com itself occurred.
• ›The help site publishes its knowledge base via WordPress API endpoint (step [2] returned JSON page listings) but full article content was not extracted. The agent had to reconstruct answers from corporate.indiamart.com, third-party guides (refrens.com, nimbuspost.com), and prior knowledge rather than the official help portal.