parallel
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/pntrivedy/parallel-1-0-1Parallel.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",
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 identifierresults[]- array of results with:url- source URLtitle- page titleexcerpts[]- relevant text excerptspublish_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
Metadata
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{
"plugins": {
"official-pntrivedy-parallel-1-0-1": {
"enabled": true,
"auto_update": true
}
}
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