What problem does it solve?
AI agents lack a single, unified tool to access real-time web information, domain-specific structured data, and full webpage content, leading to fragmented search workflows and incomplete context for time-sensitive or specialized tasks.
Core Features & Use Cases
- General and vertical domain search: Look up common knowledge facts or optimized structured data for specialized topics like stock prices, academic papers, legal cases, and code documentation.
- Parallel batch search: Run multiple independent queries in a single call to speed up research on related topics.
- Full-page content extraction: Pull the full text of a webpage beyond search snippets to verify details or extract structured content like tables and code.
For example, a research agent can use batch search to look up multiple company financials, then extract full content from their investor relations pages to compile a comparative report.
Quick Start
Ask your AI agent to search for the latest AAPL stock price, or to extract the full content of a specific news article URL, and it will automatically use this skill to complete the request.