parallel
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
Best use case
parallel is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
Teams using parallel should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/parallel/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How parallel Compares
| Feature / Agent | parallel | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Parallel.ai 🔬
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.aiRelated Skills
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