What Oxylabs changed

• Added a new "Web API" product suite featuring /Search and /Scrape endpoints.
• Introduced "Native for agents" features, including an MCP Server and Agent Skills for instant AI integration.
• Updated the homepage hero section to focus on "Fresh Web Data for Grounding AI Agents."
• Added specific AI-related trust signals, including EU AI Act alignment and SOC 2 Type II certification for scraping.
• Expanded the navigation menu to include dedicated sections for AI workflows and documentation.

Oxylabs is shifting its positioning from a pure proxy provider to an AI infrastructure partner. By offering "agent-ready" structured data and MCP server integration, they are targeting developers building AI agents who need real-time web access without managing scraping logic.

• Added a new "Web API" product category to the main navigation.
• Introduced specific API endpoints for Search, Scrape, Amazon, and Google.
• Added new AI-focused integrations including ChatGPT, MCP, and Agent Skills.
• Reorganized the "Proxies" menu into a simplified list format.
• Added links to a new API Playground and technical documentation.

Oxylabs is moving beyond basic proxies into high-level data tools. They are specifically targeting AI developers by adding support for ChatGPT and Model Context Protocol (MCP).

• Launched "Fast Search API," a new product designed to deliver organic search results in under one second for AI workflows.
• Added "AI Grounding" as a major new solution category, focusing on fueling autonomous agents and RAG pipelines.
• Introduced "AI Studio," a suite of natural-language tools including AI-Scraper and AI-Crawler.
• Added new dedicated scraping support for ChatGPT and Gemini.
• Updated the navigation and pricing sections to highlight these new AI-centric scraping solutions.
• Cleaned up the homepage by removing a large, technical cookie consent declaration block.

Oxylabs is shifting its focus toward the AI market. By launching tools specifically for AI agents and RAG (Retrieval-Augmented Generation), they are trying to capture customers who need real-time data to power LLMs rather than just traditional web scraping.