intel-asrai

What This Skill Does

Intel-Asrai is a powerful, decentralized search engine integration designed for OpenClaw and other MCP-compatible AI agents. Unlike traditional search tools that rely on centralized API keys, subscription tiers, or restrictive rate limits, Intel-Asrai leverages the x402 protocol on the Base network to enable peer-to-peer micropayments. Each search query triggers an automated $0.005 USDC transaction directly from your private wallet, providing immediate access to real-time web, academic, and forum-based data. By synthesizing high-quality information with direct source attribution, the skill allows your AI agent to bypass the limitations of its static training data, ensuring your workflows are informed by the latest developments, market shifts, and emerging research.

Installation

To install Intel-Asrai, you must have the OpenClaw environment or a compatible MCP host (like Cursor, Cline, or Claude Desktop) ready. Use the following command in your terminal:

npx -y -p intel-asrai-mcp install-skill

After installation, you must configure your wallet to facilitate payments. Add your private key to your environment variables file (typically ~/.env): INTEL_PRIVATE_KEY=0x<your_private_key>

For MCP-integrated agents, ensure your configuration file contains the server definition:

{
  "mcpServers": {
    "intel-search": { "command": "npx", "args": ["-y", "intel-asrai-mcp"] }
  }
}

Use Cases

Intel-Asrai is best utilized when your agent requires external validation or real-time context. Ideal scenarios include:

• Financial Analysis: Fetching current asset prices, market trends, or crypto-specific data.
• Technical Research: Querying academic databases for the latest AI research papers or software documentation.
• Trend Tracking: Monitoring breaking news or community discussions on platforms like Reddit to understand public sentiment regarding specific topics.
• Dynamic Context: Verifying facts that change rapidly, where relying on pre-trained internal data would result in hallucinations or outdated information.

Example Prompts

1. "What is the current market sentiment for Ethereum based on recent Reddit discussions? Use the balanced mode."
2. "Find the latest academic papers published this week regarding Large Language Model fine-tuning techniques."
3. "Summarize the top three recent news articles regarding the status of the Base network mainnet."

Tips & Limitations

• Cost Efficiency: Because each search costs $0.005 USDC, use this tool judiciously. If an agent can answer based on its internal training data without needing live internet access, refrain from calling the search function to save on operational costs.
• Mode Selection: Optimize your costs and results by selecting appropriate modes: speed for fast news, balanced for general queries, and quality for deep-dive research.
• Privacy: Always ensure your INTEL_PRIVATE_KEY is kept in a secure file and never committed to public repositories. The tool handles the signing of transactions locally, ensuring your keys are never transmitted to a third-party server during the search process.