perplexity

Answer research questions via the Perplexity API with verifiable citations.

Updated Aug 23, 2026

Search Tags:#automation #research #api #queries #citations #perplexity #web

Ready to run

npx skills add https://github.com/MagicWifiMoney/openclaw-starter-kit --skill perplexity-magicwifimoney

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: perplexity
Source: https://github.com/MagicWifiMoney/openclaw-starter-kit/tree/main/skills-custom/perplexity
Command: npx skills add https://github.com/MagicWifiMoney/openclaw-starter-kit --skill perplexity-magicwifimoney

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Enables researchers to obtain AI-powered answers from the Perplexity API with verifiable citations, reducing manual lookup time.

Core Features & Use Cases

Cited research results: Retrieve AI-generated answers accompanied by citations.
Model selection: Choose between sonar and sonar-pro for quick lookups or deeper analysis.
Follow-up queries: Continue a discussion with prior context to refine results.

Quick Start

Execute the perplexity_search.py script with your question to obtain AI-generated answers and citations.

Frequently Asked Questions about perplexity

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I get AI research answers with verifiable citations using the Perplexity API?▼

You can retrieve AI research answers with verifiable citations by executing the perplexity_search.py script with your question against the Perplexity API. The script generates cited responses for science, technology, and general knowledge queries.

Do I need an API key to automate research queries with Perplexity?▼

Yes, you need a PERPLEXITY_API_KEY environment variable to automate research queries. The script requires this key to authenticate requests to the Perplexity API and return cited answers.

Can I use follow-up questions to refine API research results?▼

Yes, you can use follow-up queries to refine API research results. The Skill supports continuing a discussion with prior context to iteratively query the Perplexity API for deeper analysis.

What is the difference between sonar and sonar-pro models for web research?▼

The sonar model handles quick lookups, while sonar-pro supports deeper analysis for web research. You can select between these Perplexity API models depending on whether you need fast answers or more thorough investigation.

What are the limitations of using API automation for cited research?▼

Limitations of API automation for cited research include dependency on the PERPLEXITY_API_KEY environment variable and model selection constraints. The script requires manual execution for each research question.

What's the best way to automate web research queries with citations?▼

The best way to automate web research queries with citations is using the Perplexity API via a Python script. It retrieves AI-generated answers with verifiable citations and supports model selection for quick or deep analysis.