| name | perplexity-research |
| description | Deep research using Perplexity Sonar models via AIsa API. Provides synthesized answers with citations. Supports 4 models from fast to exhaustive deep research. Use when: the user needs web search, research, source discovery, or content extraction. |
| compatibility | Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one. |
| metadata | {"aisa":{"emoji":"🔎","requires":{"bins":["python3"],"env":["AISA_API_KEY"]},"primaryEnv":"AISA_API_KEY","compatibility":"Designed for Agent Skills compatible clients such as OpenClaw, Claude Code, Hermes, and GitHub-backed skill catalogs. Requires system binaries python3, environment variables AISA_API_KEY and internet access to api.aisa.one."}} |
AIsa Perplexity Deep Research
Conduct deep research using Perplexity Sonar models via the AIsa API. Returns synthesized, citation-backed answers instead of raw search results. Choose from four models depending on the depth and complexity needed.
Setup
This skill requires the AISA_API_KEY environment variable. When installed as a Claude plugin, the key is configured via the plugin's userConfig.
Usage
Run the search client with the sonar subcommand:
python3 ${CLAUDE_PLUGIN_ROOT}/skills/perplexity-research/scripts/search_client.py sonar --query "<research question>" --model <model_name>
Arguments
| Argument | Required | Default | Description |
|---|
--query / -q | Yes | — | Research question or query |
--model / -m | No | sonar | Model to use (see below) |
Available Models
| Model | Speed | Depth | Best For |
|---|
sonar | Fast | Standard | Quick factual lookups |
sonar-pro | Medium | Detailed | In-depth topic exploration |
sonar-reasoning-pro | Slower | Deep | Complex reasoning and analysis |
sonar-deep-research | Slowest | Exhaustive | Comprehensive research reports |
Examples
python3 ${CLAUDE_PLUGIN_ROOT}/skills/perplexity-research/scripts/search_client.py sonar --query "What is the current state of quantum computing?"
python3 ${CLAUDE_PLUGIN_ROOT}/skills/perplexity-research/scripts/search_client.py sonar --query "Compare transformer and state-space model architectures" --model sonar-pro
python3 ${CLAUDE_PLUGIN_ROOT}/skills/perplexity-research/scripts/search_client.py sonar --query "Will AGI be achieved by 2030? Analyze arguments for and against." --model sonar-reasoning-pro
python3 ${CLAUDE_PLUGIN_ROOT}/skills/perplexity-research/scripts/search_client.py sonar --query "Comprehensive analysis of AI regulation frameworks worldwide" --model sonar-deep-research
Output
The script prints:
- Synthesized answer — A coherent, well-structured response
- Citations — Source URLs backing the answer
- Cost — API usage cost (when available)
When to Use
Use this skill when the user needs a synthesized, well-researched answer rather than raw search results. Best for complex questions, comparative analyses, trend reports, and any query where a thoughtful, citation-backed response is more valuable than a list of links.
