BuyWhere has developed a three-tier system to keep product prices fresh for its shopping data server, BuyWhere MCP, which serves AI agents. Initially, attempts to crawl the entire product catalog frequently led to IP blocks. The current architecture prioritizes crawling 'hot' products (those in active agent conversations or price alerts) every 45 minutes, 'warm' products (in comparison pages) every 6 hours, and 'long-tail' products on a 3-day rolling window, re-crawling them upon access. This approach ensures that frequently accessed items are updated rapidly, while less popular items are refreshed less often, preventing stale data from being presented to AI agents like Claude and GPT. AI
IMPACT Provides a practical solution for maintaining real-time data freshness for AI agents, crucial for reliable product recommendations and comparisons.
RANK_REASON The item describes a technical implementation for a specific product, BuyWhere MCP, detailing its architecture and operational challenges.
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