- 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
- metadata
- openclaw
- emoji
- 🔬
- requires
- env
- primaryEnv
- PARALLEL_API_KEY
- tags
Parallel.ai 🔬
High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.
Setup
pip install parallel-webAPI 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
| 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
# 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" --jsonResponse Format
Returns structured results with:
search_id- unique search identifierresults[]- 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