Agent Reach

Overview

Agent Reach connects AI agents to the social web. Instead of building custom scrapers for each platform, Agent Reach provides unified access to Twitter/X, Reddit, YouTube, and GitHub — letting agents monitor conversations, track trends, and gather social intelligence.

How It Works

1. Configure platforms — Set up API keys or auth
2. Query content — Search posts, threads, videos by topic
3. Extract data — Get structured posts, comments, metadata
4. Analyze — Agent processes social data for insights

Use Cases

• Social monitoring — Track brand mentions across platforms
• Trend analysis — Identify emerging topics and sentiment
• Competitive intelligence — Monitor competitor social presence
• Content research — Gather source material for articles

Getting Started

from agent_reach import SocialReader

reader = SocialReader()
tweets = reader.search_twitter("AI agents", limit=50)
reddit = reader.search_reddit("r/MachineLearning", "MCP servers")

Example

User: "What's the sentiment on Twitter about Claude Code?"
Agent → Agent Reach: search_twitter("Claude Code", limit=100)
Agent: "87% positive. Main praise: speed and reliability.
Main complaints: context window limits on large codebases."

Alternatives

• Composio — Social media via managed integrations
• Apify — Enterprise social scraping
• Exa — AI-native web search