Perplexity Agent Search for Openclaw

A powerful research skill that leverages the Perplexity Agent API to provide AI agents with real-time web search capabilities and cited answers.

davidsteelerose
v1.0.0
Mar 16, 2026
0
860
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install perplexity-agent

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install perplexity-agent 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 Perplexity Agent Search?

The Perplexity Agent Search skill is designed to provide AI agents with immediate access to the live web, bridging the gap between static knowledge and real-time information. By utilizing this within the Openclaw Skills ecosystem, developers can empower their agents to retrieve current news, perform deep technical research, and generate answers that are grounded in actual web data.

This skill is particularly valuable for workflows that require accuracy and up-to-the-minute data. It abstracts the complexity of web scraping and information retrieval into a simple script execution, ensuring that your Openclaw Skills implementation remains efficient and highly capable of handling complex research tasks.

Perplexity Agent Search Use Cases

  • Tracking current events and breaking news updates in real-time.
  • Conducting deep-dive research for technical documentation or market trends.
  • Verifying facts with grounded answers that include source citations.
  • Enhancing AI agent responses with data gathered from the live web.

How Perplexity Agent Search Works

  1. The AI agent analyzes the user request and determines that external web research is required.
  2. The agent triggers the Perplexity Agent Search skill by passing the query to the search script.
  3. The skill communicates with the Perplexity API using the pro-search preset for high-quality results.
  4. A JSON response is returned, containing the success status, the grounded answer, and the model used.
  5. The agent parses this data and presents the synthesized information to the user within the Openclaw Skills environment.

Perplexity Agent Search Setup

To use this skill, you must have a valid Perplexity API key configured in your environment. Follow these steps to get started:

# Set your Perplexity API key
export PERPLEXITY_API_KEY='your_api_key_here'

# Run a search query using the provided script
python3 scripts/search.py "What are the latest developments in AI?"

Perplexity Agent Search Data Schema & Taxonomy

The skill returns a structured JSON object to ensure compatibility with other Openclaw Skills. The schema is defined as follows:

Property Type Description
success boolean Indicates if the search request was completed successfully.
answer string The primary grounded response containing the search results and citations.
model string The specific Perplexity model utilized for the search (e.g., pro-search).

Perplexity Agent Search Advanced Features

  • Uses the pro-search preset to ensure exhaustive and high-quality information retrieval.
  • Returns structured JSON for easy integration into multi-agent Openclaw Skills workflows.
  • Provides grounded answers with implicit citations to minimize hallucinations.
  • Supports real-time data retrieval for news and rapidly changing information.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*