The agent could not extract pricing or detailed service differentiation directly from sparks.pyxage.com due to heavy JavaScript rendering and minimal content, but assembled a partial answer by pivoting to web search and business registry lookups. The site itself is poorly navigable for this task; the agent succeeded only by working around it with external sources (Companies House, Facebook, industry guides).

• ›Steps [9], [10], [16], [24], [26] — all web searches — supplied the core answer. No direct page fetch from sparks.pyxage.com or sparks2.co.uk returned readable, semantic content. The agent cited Companies House (step 16's search result), Facebook, and UK accounting industry guides (step 26) as sources, not the website itself.
• ›Steps [1], [4], [12] returned 200 status but only raw HTML/Next.js boilerplate with no visible text content. Steps [3], [6], [7], [20], [21] returned 404s. The site is unnavigable via direct fetch — no pricing page, no services page, no about page exposed in the URL structure or rendered content.
• ›The agent was forced to rely on 78% prior/external knowledge (per metadata). For a discovery-evaluation task asking 'what do they do, who is it for, pricing, differentiation,' the website published none of this in a machine-readable or fetch-accessible form. The agent reconstructed the answer from business registry data, social media inferences, and industry benchmarks rather than site content.