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parallel

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

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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",
    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