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Parallel

ASecurity

High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.

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  • Added February 7, 2026
developmentpythonbashapi

Works with

  • cli
  • api

Security analysis

A96/100
  • mediumInstalls packages at runtime which could introduce malicious dependencies

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Scanned February 12, 2026

npx -y skills add openclaw/skills --skill parallel --agent claude-code

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SKILL.md
---
name: parallel
description: High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
triggers:
  - parallel
  - deep search
  - research
metadata:
  clawdbot:
    emoji: "πŸ”¬"
---

# Parallel.ai πŸ”¬

High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.

## Setup

```bash
pip install parallel-web
```

API key is configured. Uses Python SDK.

```python
from parallel import Parallel
client = Parallel(api_key="YOUR_KEY")
response = client.beta.search(
    mode="one-shot",
    max_results=10,
    objective="your query"
)
```

## Quick Usage

```bash
# Search with Python SDK
python3 {baseDir}/scripts/search.py "Who is the CEO of Anthropic?" --max-results 5

# JSON output
python3 {baseDir}/scripts/search.py "latest AI news" --json
```

## Response Format

Returns structured results with:
- `search_id` - unique search identifier
- `results[]` - array of results with:
  - `url` - source URL
  - `title` - page title
  - `excerpts[]` - relevant text excerpts
  - `publish_date` - when available
- `usage` - API usage stats

## When to Use

- **Deep research** requiring cross-referenced facts
- **Company/person research** with citations
- **Fact-checking** with evidence-based outputs
- **Complex queries** that need multi-hop reasoning
- Higher accuracy than traditional search for research tasks

## API Reference

Docs: https://docs.parallel.ai
Platform: https://platform.parallel.ai

Files in this skill

  • SKILL.md1.5 KB
  • _meta.json458 B
  • scripts/parallel.sh3 KB
  • scripts/search.py2.5 KB

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