Parallel Skill for OpenClaw

High-accuracy web research platform via Parallel.ai, built for AI agents. 7 APIs covering search, extraction, deep research, chat, entity discovery, monitoring, and batch execution.

What it does

• Search - high-accuracy web search with 3 modes: one-shot, fast (~1s), agentic (multi-hop)
• Extract - pull clean content from URLs, JS-rendered pages, and PDFs
• Task (Deep Research) - 8 processor tiers (lite through ultra8x), MCP tool calling, authenticated browsing
• Chat - OpenAI-compatible chat completions with web grounding and basis citations
• FindAll - entity discovery at web scale with 4 generator tiers (preview, base, core, pro)
• Monitor - scheduled web change tracking with webhook notifications
• Task Groups - batch up to 1,000 research tasks per POST with SSE streaming

Quick start

Install the skill

git clone https://github.com/mvanhorn/clawdbot-skill-parallel.git ~/.openclaw/skills/parallel
cd ~/.openclaw/skills/parallel
pip install -r requirements.txt

Set up your API key

Get a key from Parallel.ai, then:

export PARALLEL_API_KEY="your-key-here"

Example chat usage

• "Use Parallel to research transformer architectures"
• "Deep search for the latest on AI regulation in the EU"
• "Find all AI startups that raised Series A in the last 6 months"
• "Monitor AI safety news daily and alert me"
• "Chat with web grounding about recent funding rounds"
• "Batch research the top 10 cloud providers"

APIs

| API | Endpoint | Description | |-----|----------|-------------| | Search | POST /v1/search | Web search with one-shot, fast, agentic modes | | Extract | POST /v1beta/extract | Content extraction from URLs and PDFs | | Task | POST /v1/tasks/runs | Deep research with 8 processor tiers | | Chat | POST /v1/chat/completions | OpenAI-compatible with web grounding | | FindAll | POST /v1beta/findall/runs | Entity discovery at scale | | Monitor | POST /v1alpha/monitors | Scheduled web change tracking | | Task Groups | POST /v1beta/tasks/groups | Batch up to 1,000 tasks |

SDK and CLI

• Python: pip install parallel-web (v0.4.2)
• TypeScript: npm install parallel-web
• CLI: brew install parallel-web/tap/parallel-cli
• Vercel AI SDK: npm install @parallel-web/ai-sdk-tools

Security

• API key is loaded from the PARALLEL_API_KEY environment variable only - never hardcoded
• All user input is safely escaped before being sent to the API (no JSON injection)
• Dependencies are pinned in requirements.txt
• When using authenticated sources (BROWSERUSE_API_KEY), be aware that your key is transmitted to Parallel.ai's servers which proxy it to browser-use.com

Links

• Docs: https://docs.parallel.ai
• Platform: https://platform.parallel.ai

License

MIT