Xpoz MCP

By positioning itself as the social data layer for AI agents, Xpoz makes real-time social intelligence as simple to access as asking a question.

The platform's natural language query interface abstracts away the technical complexity of social API access, allowing users to instruct their AI assistant to find posts, analyze trends, or retrieve user information from across four major social platforms in the same way they would request any other AI task.

An agent investigating brand sentiment, tracking competitor campaigns, or monitoring crisis indicators can surface live social data without the user needing to understand API rate limits, authentication tokens, or platform-specific query syntax.

Xpoz's data scale is one of its primary differentiators, providing access to over 1.5 billion social media posts and user profiles across its covered platforms.

This breadth enables meaningful statistical analysis, trend detection, and content pattern identification rather than the limited spot-check sampling that characterizes lower-tier social monitoring tools.

Engagement pattern analysis, top-performing content identification, and metric-based filtering by likes and shares are all available within the natural language interface.

Bot and authenticity detection is a built-in feature that assigns inauthenticity probability scores to Twitter accounts, enabling researchers and analysts to distinguish genuine conversation from bot-amplified noise without accessing the expensive enterprise-tier monitoring platforms that typically provide this capability.