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Parallel

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

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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
  • 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

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

Modes

ModeUse CaseTradeoff
one-shotDefault, balanced accuracyBest for most queries
fastQuick lookups, cost-sensitiveLower latency/cost, may sacrifice some accuracy
agenticComplex multi-hop researchHigher accuracy, more expensive

Quick Usage

# 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

如何使用「Parallel」?

  1. 打开小龙虾AI(Web 或 iOS App)
  2. 点击上方「立即使用」按钮,或在对话框中输入任务描述
  3. 小龙虾AI 会自动匹配并调用「Parallel技能完成任务
  4. 结果即时呈现,支持继续对话优化

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