The agent could not complete the task as scoped because opencode.co is a parked GoDaddy domain with no active service. It pivoted to opencode.ai and assembled a comprehensive explanation of what OpenCode does, who it's for, how it's priced, and how it differs from alternatives — but this required combining fragments from GitHub, documentation sites, and third-party comparison tools rather than a coherent product site. The opencode.ai domain itself did not surface pricing or feature details in a machine-readable or prominent form.

• ›Step [1]–[2]: opencode.co redirects to a GoDaddy for-sale landing page in German, confirming the domain is parked and unusable. No product information was available at the requested URL.
• ›Step [4] (web search) returned URLs pointing to opencode.ai, GitHub repos, and third-party pricing comparison sites — the agent had to use search discovery rather than site navigation to find the product.
• ›Steps [6] (opencode.ai homepage), [8] (GitHub repo), and [10] (documentation site) returned HTML but no complete pricing table, feature matrix, or competitor comparison. The agent had to infer positioning by combining sparse data across sources.
• ›Step [12] (web search for pricing/alternatives) surfaced third-party comparison and pricing review sites (toolradar.com, benchquill.com) that contained the structured information the official opencode.ai site did not expose directly.
• ›The agent's final table and detailed pricing breakdown relied heavily on prior knowledge and third-party aggregator sites rather than official product documentation — opencode.ai does not publish a clear pricing page or alternatives comparison.
• ›Multiple GitHub projects (anomalyco/opencode vs. opencode-ai/opencode) created ambiguity about which is the canonical project; the site did not clearly resolve this.