Scavio is a real-time search API that gives AI agents and developers access to Google, Amazon, YouTube, Walmart, and Reddit from a single endpoint. Instead of managing multiple integrations or parsing raw HTML, you get clean, structured JSON with titles, URLs, prices, ratings, and metadata your agents can act on right away. It handles all the infrastructure behind the scenes, including proxies, CAPTCHAs, and rate limits. Scavio works with LangChain, CrewAI, AutoGen, and any framework that makes HTTP requests, and ships with an MCP server for direct use in Claude, Cursor, and VS Code.

• Multi-Platform Search from One Endpoint: Search Google, Amazon, YouTube, Walmart, and Reddit with a single API call. No need to manage five separate integrations or deal with platform-specific quirks.
• Structured JSON Output: Get clean, AI-ready data including titles, URLs, descriptions, prices, ratings, and metadata instead of raw HTML that needs parsing.
• Full SERP Data: Access knowledge graphs, People Also Ask, AI overviews, related searches, and 12 toggleable SERP sections per query.
• MCP Server Support: Plug Scavio directly into Claude, Cursor, VS Code, Windsurf, ChatGPT, and other MCP-compatible tools with a single JSON config in under two minutes.
• Framework Compatibility: Works with LangChain (official PyPI package), CrewAI, LlamaIndex, AutoGen, OpenAI Assistants, n8n, and any framework that can make HTTP requests.
• Zero Infrastructure Management: No browser automation, proxy management, or scraping setup required. Scavio handles CAPTCHAs, anti-bot detection, and rate limits for you.
• Advanced Search Controls: Fine-tune results using parameters like platform, country, language, device type, pagination, and query depth for more precise outputs.

• True Multi-Platform Coverage: Unlike most search APIs that only return Google results, Scavio covers five major platforms from one endpoint, saving significant integration effort.
• Fast and Simple Setup: Developers can integrate Scavio in minutes using a single POST endpoint, while the lightweight MCP setup allows AI tools like Claude, Cursor, and VS Code to connect with minimal configuration.
• Generous Free Tier: Scavio offers a free plan with around 250 credits per month and no credit card required, making it easy to test and prototype AI workflows before scaling.
• Strong Framework Support:Works well with major AI and agent frameworks including LangChain, CrewAI, LlamaIndex, AutoGen, and n8n. It also supports direct HTTP integration for custom systems.
• Competitive Per-Search Cost: Scavio uses a credit-based pricing model with low per-request costs (around $0.0025–$0.005 per search depending on plan), making it cost-effective for multi-platform queries and agent-heavy workloads.

• Platform Coverage Still Growing: Scavio currently supports a small set of platforms including Google, Amazon, YouTube, Walmart, Reddit, and TikTok. Additional platforms like Instagram are listed as coming soon but are not yet available.
• No Rollover on Unused Credits: Monthly credits expire at the end of each billing period and do not carry over to the next month.
• Uptime Not Guaranteed: While Scavio targets high reliability and mentions strong uptime performance, there is no publicly defined contractual SLA for guaranteed uptime under all plans.

• AI Shopping Assistants: Build agents that compare prices across Amazon and Walmart in real time. A product research agent can search both marketplaces in parallel, find the best deal, and pull YouTube reviews for the top picks, all through one API.
• RAG Pipeline Grounding: Ground your LLM outputs in live web data instead of a static knowledge base. Scavio feeds real-time search results into your retrieval-augmented generation pipeline so responses stay current and accurate.
• Marketing Research Automation: Automate competitive intelligence gathering, market sizing, and trend analysis. Replace hours of manual research by pulling structured data from Google, Reddit, and YouTube into programmatic workflows.
• Content Fact-Checking and Grounding: Use Scavio in content generation pipelines to verify claims against live search results and cite real sources, reducing the risk of publishing AI-generated inaccuracies.
• Competitive Intelligence Monitoring: Track competitor products across marketplaces and monitor Reddit discussions about your industry. Run scheduled agents that alert you when prices drop or sentiment shifts.
• Cross-Platform Research Agents: Combine Google search results, Amazon listings, YouTube reviews, and Reddit opinions into a single research workflow. Useful for product analysis, market research, and due diligence.