Automation Intelligence API for UCP: How to detect automated ecommerce checkout bots
Blog post from Fingerprint
Universal Commerce Protocol (UCP) checkout requests may originate from platform backends or AI agents rather than browsers, making browser-based bot detection ineffective; the Automation Intelligence API addresses this by analyzing HTTP headers, methods, URLs, and IP addresses without requiring JavaScript. UCP supports REST checkout-session endpoints and an MCP binding, with each providing information about the direct caller and, optionally, buyer IP and user-agent signals supplied by the platform. Merchants can submit sanitized request data to the API’s `/edge` endpoint to assess the caller, correlate events with checkout IDs, and separately evaluate buyer-provided signals for IP reputation, proxy or VPN use, geolocation, and possible automation. Responses identify detected automation as verified, signed, unknown, or spoofed, while the absence of bot information indicates no automation signal rather than confirmed human activity. The approach recommends combining caller and buyer results with broader fraud indicators, while noting that both the public-preview API and the evolving UCP specification may change.
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