A powerful Openclaw Skills tool for programmatic Twitter/X data retrieval using paid API endpoints and automated USDC micropayments.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agentbox-twitter
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install agentbox-twitter using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Agentbox Twitter Research?
Agentbox Twitter Research is a high-performance skill designed for deep data extraction from X (formerly Twitter). By integrating with the Agentbox API, it allows AI agents to perform complex queries using over 50 advanced search operators, fetch complete conversation threads, and analyze user profiles. This Openclaw Skills integration is unique because it leverages the x402 payment protocol, enabling automated, low-cost USDC micropayments ($0.003 per call) on the Solana mainnet, ensuring high-quality data access without traditional subscription hurdles.
The skill provides structured access to search results, tweet metadata, and user activity, making it an essential component for agents focused on market research, social listening, or competitive analysis. By using Openclaw Skills, developers can bypass complex API authentication flows and focus on data utilization through a standardized payment and request interface.
Agentbox Twitter Research Use Cases
- Monitoring specific topics or keywords for real-time sentiment analysis and trend tracking.
- Researching user influence by analyzing follower growth, engagement metrics, and historical posting patterns.
- Extracting full conversation contexts, including replies, quotes, and threads for natural language processing.
- Tracking real-time updates from specific accounts using advanced boolean operators like min_faves or filter:media.
How Agentbox Twitter Research Works
- The AI agent identifies a research requirement involving Twitter/X data and selects the appropriate endpoint.
- It constructs a request using the x402_payment tool, specifying the URL, method, and search parameters.
- The Openclaw Skills environment executes the request, automatically processing the $0.003 USDC micropayment via Solana.
- The API returns a structured JSON response containing tweets, user profiles, or conversation metadata.
- The agent parses the response, utilizing fields like the summary object or nextCursor to refine its analysis or continue pagination.
Agentbox Twitter Research Setup
To get started with this skill, ensure your environment is configured to handle Solana-based micropayments. Install the skill using the following command within your Openclaw Skills workspace:
openclaw install agentbox-twitter
Ensure your local agent configuration allows the x402_payment tool and that your linked wallet contains a small balance of USDC to cover the per-call costs.
Agentbox Twitter Research Data Schema & Taxonomy
The skill returns highly structured data objects to facilitate easy parsing. Key structures include:
| Object Type | Description | Key Metadata Fields |
|---|---|---|
| Search Response | Results from keyword/operator queries | query, count, nextCursor, summary |
| Tweet Summary | Aggregated engagement statistics | totalLikes, totalRetweets, avgLikes, topTweetId |
| User Profile | Detailed account and activity data | user, followers, following, tweets |
| Tweet Context | Thread and interaction hierarchy | parent, thread, replies, quotes |
Agentbox Twitter Research Advanced Features
- Supports 50+ advanced search operators including min_faves, filter:images, and within_time for precise filtering.
- Automated pagination management using the nextCursor attribute to navigate large result sets.
- Deep thread retrieval capabilities that automatically fetch author self-reply chains and public replies.
- Batch fetch support for retrieving multiple tweet IDs or user profiles in a single network request.
- Native integration with the x402 protocol for frictionless, programmatic payments on every API call.
SKILL.md
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