Name: Parallel
Author: Matt Van Horn

According to AlphaMoat, as of 2026-09, Parallel has 3,621 downloads and 3 stars — ranked #3,002 of 5,078 AI skills overall, and #273 of 442 in Knowledge.

Installs

118

Downloads

3.6K

Stars

Overall Rank

#3,002

Top 60% overall · Top 62% in Knowledge

Platform	Installs	Downloads	Stars	Comments
ClawHub ↗	118	3.6K	3	-

Platforms count differently and update at different times.

What this skill does

PARALLEL_API_KEY is required. Modes trade off multi-step research, latency, and cost. Verify findings against original sources rather than treating search output alone as confirmed fact.

Profile published 2026-10-29

What you can do with it

Search web sources for a topic and organize citations
Choose a search mode based on speed or multi-step research needs

When to use it

When you need web search and research through the Parallel.ai API

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Explain the trade-offs when choosing a search mode for this research and list how to verify sources; do not call the API.

Monthly Trend

Downloads3.6K

Stars3

The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.

Month	Downloads	MoM	Stars
2026-09	3.6K	—	3
2026-08	3.5K	+3.4%	3
2026-07	3.4K	+8.6%	3
2026-06	3.1K	+5.2%	3
2026-05	3.0K	—	3
2026-03	2.4K	—	3

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

2.5 KB · ClawHub v1.2.1

---
name: parallel
version: "1.1.0"
description: High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficient multi-step reasoning.
author: mvanhorn
license: MIT
repository: https://github.com/mvanhorn/clawdbot-skill-parallel
homepage: https://parallel.ai
triggers:
  - parallel

Show all (97 lines)

  - deep search
  - research
metadata:
  openclaw:
    emoji: "🔬"
    requires:
      env:
        - PARALLEL_API_KEY
    primaryEnv: PARALLEL_API_KEY
    tags:
      - search
      - research
      - web
      - parallel
      - citations
---

# 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",  # or "fast" for lower latency/cost, "agentic" for multi-hop
    max_results=10,
    objective="your query"
)
```

## Modes

| Mode | Use Case | Tradeoff |
|------|----------|----------|
| `one-shot` | Default, balanced accuracy | Best for most queries |
| `fast` ⚡ | Quick lookups, cost-sensitive | Lower latency/cost, may sacrifice some accuracy |
| `agentic` | Complex multi-hop research | Higher accuracy, more expensive |

## Quick Usage

```bash
# Default search (one-shot mode)
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "Who is the CEO of Anthropic?" --max-results 5

# Fast mode - lower latency/cost ⚡
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "latest AI news" --mode fast

# Agentic mode - complex research
{baseDir}/.venv/bin/python {baseDir}/scripts/search.py "compare transformer architectures" --mode agentic

# JSON output
{baseDir}/.venv/bin/python {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