# Parallel

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

- Skill: `dvcrn/parallel-2` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add dvcrn/parallel-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dvcrn/parallel-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Research & Search
- Author: dvcrn (https://skillmd.com/u/dvcrn)
- Updated: 2026-09-21
- Page: https://skillmd.com/skills/dvcrn/parallel-2

---


# 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.ai