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perplexity

Search the web with AI-powered answers via Perplexity API. Returns grounded responses with citations. Supports batch queries.

Why use this skill?

Integrate Perplexity AI into OpenClaw for grounded web search results with citations. Perfect for research, automated fact-checking, and data gathering.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/zats/perplexity
Or

What This Skill Does

The Perplexity skill for OpenClaw integrates the powerful Perplexity AI search engine directly into your agent workflow. It provides high-accuracy, grounded web searches that synthesize information from multiple live sources. Unlike traditional search engines, this skill returns comprehensive AI-generated answers complete with verifiable citations, allowing users to quickly verify the origin of claims. It is designed for efficiency, supporting both single-query requests and high-volume batch processing within a single API call to minimize latency and improve performance.

Installation

To integrate this skill into your environment, use the OpenClaw installation command via your terminal: clawhub install openclaw/skills/skills/zats/perplexity

Once installed, ensure that your environment is configured with the PERPLEXITY_API_KEY. Without this key, the tool will fail to authenticate with the API provider. For developer-specific workflows, the skill supports the --json flag to facilitate direct data parsing in downstream scripts.

Use Cases

This skill is ideal for researchers, content creators, and developers. Use it to:

  • Fact-check claims during content drafting.
  • Conduct market research by batch-querying multiple competitors.
  • Synthesize real-time news updates without visiting multiple URLs.
  • Streamline documentation by pulling current information from official web manuals.
  • Automate data gathering for sentiment analysis or trend reporting.

Example Prompts

  1. "Search for the latest updates on the OpenClaw framework and summarize the key improvements from the last month."
  2. "What are the current best practices for building secure LLM agents? Provide sources for each point."
  3. "Compare the pricing and capabilities of the top 3 open-source vector databases currently available."

Tips & Limitations

  • Citations: Always verify critical information by clicking the provided citation links; while AI is powerful, hallucinations can occur.
  • Rate Limiting: If processing extremely large batch queries, ensure you stay within your API tier limits to avoid service disruptions.
  • Formatting: Use the --json flag when passing output to other OpenClaw skills to ensure data integrity and programmatical accessibility.

Metadata

Author@zats
Stars879
Views0
Updated2026-02-11
View Author Profile
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-zats-perplexity": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#search#research#ai#web#data
Safety Score: 4/5

Flags: network-access, external-api