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BytesAgain β€Ί Skills β€Ί Parallel 1.0.1
πŸ¦€ ClawHub

Parallel 1.0.1

by @pntrivedy

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

Versionv1.0.0
Downloads2,005
Stars⭐ 1
#research#legal
TERMINAL
clawhub install parallel-1-0-1

πŸ“– About This Skill

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

pip install parallel-web

API key is configured. Uses Python SDK.

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

# 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

    ⚑ When to Use

    TriggerAction
    - **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

    βš™οΈ Configuration

    pip install parallel-web

    API key is configured. Uses Python SDK.

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