The agent gathered a partial but incomplete picture of Arima Projects by accessing their services page and WordPress API endpoints. While it identified their core offering (creative direction, event production, identity work), it could not locate pricing information and had to work around a site structure that relies heavily on JavaScript rendering and Elementor-built content, making full content extraction difficult. The site is partially agent-navigable but obscures key business model information.

• ›Steps [7] and [9] (both /servicios) and [15] (REST API fetch) returned service descriptions embedded in Elementor/JavaScript markup, requiring the agent to piece together information from truncated HTML responses rather than clean structured data. The REST API response was truncated and the actual rendered content was not fully accessible.
• ›Step [13] (WordPress REST API pages list) returned only page metadata and IDs without full content payloads, forcing the agent to make targeted follow-up fetches. This router step did not itself contain the answer but revealed the site's architecture.
• ›The site exposes no pricing page, pricing REST endpoint, or structured pricing data. The agent correctly identified this gap and noted the WooCommerce install suggests a planned e-commerce model that is either incomplete or hidden. No alternative pricing discovery path existed.
• ›The agent never accessed a published portfolio, case studies, or client testimonials — key content for evaluating 'how it's different.' It had to rely on mission statements and service descriptions rather than comparative positioning or social proof.
• ›The site is primarily Spanish-language with limited English fallback, and navigation structure relies on guessed Spanish URL patterns (/servicios) rather than discoverable English site maps. The agent had to use prior knowledge and pattern-matching to find content, not site-provided navigation.