twitter-api-alternative

What This Skill Does

The Twitter API Alternative skill (Xpoz) serves as a powerful gateway for AI agents to interact with massive datasets on X (formerly Twitter). It removes the technical friction of official API developer portals, providing a seamless interface to search over 1 billion tweets. It supports complex boolean logic, allowing for highly targeted data gathering. Beyond simple text searching, the tool provides capabilities for user profiling, conversation tracking, and deep social network analysis. All findings can be exported into massive CSV files with up to 64,000 rows, making it an essential utility for data-driven workflows, market research, and automated intelligence gathering. The skill also extends its reach to Instagram and Reddit, creating a unified cross-platform search experience.

Installation

Installation is streamlined through the OpenClaw ecosystem. First, ensure the MCP client is active. Run the command: clawhub install openclaw/skills/skills/atyachin/twitter-api-alternative. Once installed, you must execute the setup skill to initialize your credentials without needing to manage complex OAuth tokens or developer keys. Verify your status by running mcporter call xpoz.checkAccessKeyStatus to ensure you are ready to query.

Use Cases

This skill is perfect for market researchers who need to monitor sentiment about specific products or brands across social media. Developers can use it to track adoption of their own open-source tools by searching for mentions. AI agents can leverage this to build personalized social CRM systems, tracking follower connections and user interests. It is also an excellent tool for competitive intelligence, enabling the monitoring of competitor activity at scale.

Example Prompts

1. "Find all tweets from the last month that mention 'AI agents' and 'LLM' but exclude any retweets or bot accounts, then export the result to a CSV."
2. "Look up the profile for user 'elonmusk' and retrieve a list of his recent activity to summarize his current focus areas."
3. "Who are the most influential users currently discussing the 'model context protocol'? List the top 20 accounts by follower count."

Tips & Limitations

To optimize your searches, always use specific boolean logic to narrow down the noise in the 1B+ tweet database. When performing large queries, rely on the operationId and checkOperationStatus flow rather than waiting for synchronous responses. Be mindful that while the free tier is generous, massive CSV exports consume data credits; track your usage accordingly. Always verify platform terms of service when using external data for commercial projects.