The agent provided a substantive explanation of Spur's business despite being rate-limited on the primary domain, assembling a coherent answer from web search results and third-party sources. The site itself was not directly navigable, forcing reliance on external coverage, though search results and third-party comparison pages supplied most needed facts about capabilities, pricing, and positioning.

• ›The primary domain (spur.us) was entirely inaccessible via HTTP 429 rate limiting on all direct fetch attempts [1, 3, 7, 8], leaving the agent no choice but to pivot to search and external sources.
• ›Web search [5, 10, 11, 13] surfaced structured information: search result titles and snippets directly answered 'what do they do', pricing tiers, competitors, and founder background without requiring the agent to fetch those third-party pages—the search results themselves were content-bearing.
• ›Pricing details came entirely from search result snippets [10] and third-party review/comparison sites (Vendr, G2, GoodFirms), not from spur.us/pricing, which the agent could not reach; the agent transparently noted this limitation.
• ›Competitive positioning and differentiators were extracted from competitor comparison pages [11] (maskbreak.com, G2 alternatives list, ipgeolocation.io blog) rather than Spur's own positioning language, introducing some inference about Spur's strengths relative to named alternatives.
• ›The agent correctly identified unfetchable content (case studies, SLA guarantees, feature tier details, trial availability) and listed them in a 'Could not find' section, demonstrating awareness of gaps rather than filling them from model memory.