Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required. Then review README.md for any prerequisites, environment setup, or post-install checks.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need. Then review README.md for any prerequisites, environment setup, or post-install checks.
High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.
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" )
ModeUse CaseTradeoffone-shotDefault, balanced accuracyBest for most queriesfast β‘Quick lookups, cost-sensitiveLower latency/cost, may sacrifice some accuracyagenticComplex multi-hop researchHigher accuracy, more expensive
# 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 β‘ {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
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
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
Docs: https://docs.parallel.ai Platform: https://platform.parallel.ai
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.