The agent assembled a competent overview of Achecar by combining the homepage, a how-it-works page, blog articles, and FAQ, but had to work around a site that does not expose pricing, mobile app details, or exact data sources in a machine-readable or easily discoverable way. The final answer is substantially correct and well-structured, but incomplete on several key details the user asked for (pricing felt tentative, differentiators required external comparison research).

• ›The homepage [1] and how-it-works page [4] provided the core value proposition (vehicle history reports from 38+ sources in 45 seconds) but neither contained pricing; the agent had to infer R$ 79.90 from blog content and search snippets, not from a dedicated pricing page.
• ›Blog articles [10, 17] and FAQ [11] yielded information about what data appears in reports (accidents, theft, fines, maintenance, FIPE value, recalls, owner history, restrictions) but the site does not publish a structured list of all 130+ data points or 23 categories claimed in the homepage.
• ›Pricing page (/planos returned 404 in step [5]; homepage does not link to a pricing section) — the agent had to assemble pricing from search results and blog mentions, a significant friction point for a commerce-focused task.
• ›The agent could not locate mobile app details on the site itself; a mention of an app ID appeared only in page metadata, with no dedicated app documentation or feature comparison.
• ›Competitive positioning and exact data sources (DETRAN, RENAJUD, etc.) were not detailed on the site; the agent had to rely on web search results for BuscaFIPE and Olho no Carro comparisons, not site-native content.
• ›The site is a Next.js SPA with client-side rendering; fetched HTML responses contained mostly structural markup and script references, not human-readable content in the raw response — indicating the agent likely relied on prior knowledge and search results more than on page content extraction.