Google Agent Search Platform

An enterprise AI team evaluated Google Agent Search via Vertex AI vs Scavio for their multi-agent system. Vertex AI provided excellent Google grounding but required 3 weeks of GCP setup and only covered Google Search. Scavio provided Google, Amazon, YouTube, Reddit, TikTok, and Walmart in a 2-minute MCP setup at $0.005/credit. They chose Scavio for development speed and multi-platform coverage.

Google Agent Search Platform is relevant to Google. Scavio provides a unified API to access data from all of these platforms.

Google offers search grounding for AI agents through Vertex AI Agent Builder, positioning it as the enterprise solution for agent web access. The service provides Google Search results through the Vertex AI API, with enterprise features: SLAs, data residency controls, and integration with Google Cloud's IAM. Pricing is usage-based through Vertex AI, with search grounding queries priced separately from LLM inference. Access requires a Google Cloud account with Vertex AI enabled. The main advantages: direct access to Google's search index (the same index that powers google.com), enterprise compliance features, and integration with Google's AI ecosystem. The main drawbacks: Google Cloud vendor lock-in, complex setup compared to standalone search APIs, pricing that can be opaque (bundled with Vertex AI billing), and limited to Google Search only (no Amazon, YouTube, Reddit, TikTok, or Walmart). For teams already on Google Cloud running Gemini models, Agent Search is a natural fit. For teams using multiple LLM providers or needing multi-platform search, standalone search APIs offer more flexibility. Scavio covers 6 platforms at $0.005/credit with a 2-minute setup vs Vertex AI's enterprise onboarding process. The choice depends on whether you need enterprise compliance features (choose Vertex) or multi-platform flexibility with simple setup (choose a standalone API).