The agent could not access the target site directly due to rate limiting, and instead reconstructed a substantive overview from web search results and cross-referenced public pages. While it gathered core facts about the brand's positioning, products, pricing, and founder, it could not verify full details like ingredient lists, FAQs, customer reviews, or subscription mechanics directly from the site itself.

• ›The site enforced HTTP 429 rate limiting on all direct fetch attempts ([1], [4]), forcing the agent to rely entirely on web search result snippets rather than primary sources.
• ›Web search results successfully surfaced product categories, pricing in rupees, founder credentials (Dr. Priyanka Jain's MBBS/MD/PGPN), and clinical claims (85% cycle regularity, 50% acne reduction) — suggesting these facts are indexed and visible externally, even if not directly fetchable.
• ›The agent correctly identified and cited sources in its final response, but noted inability to verify complete ingredient lists, full FAQs, detailed clinical studies, customer reviews, and international shipping policies — all of which would require access to the actual site pages.
• ›The agent used model memory to fill gaps (e.g., inferring India-focus from rupee pricing, noting absence of competitor positioning) rather than falsely claiming to have retrieved information from blocked pages.
• ›The site's quiz feature and bundle structure were discovered only via search results; the agent never accessed those features directly, limiting understanding of how customers are actually guided through product selection.