Overview
Parallel provides powerful web browsing and data enrichment capabilities for your agents. Perfect for:- Web research — ask questions and get answers from web content
- Data enrichment — automatically enhance your data with web information
- Entity research — gather detailed information about companies, people, or topics
Chat with Web Action
- What it does: Ask questions and get answers by browsing and analyzing web content in real-time.
Inputs
- Question: The query or question you want answered
- Processor: Choose the model strength for your research needs
Outputs
- Response: The response based on web research
Web Enrichment Action
- What it does: Enriches your data by automatically gathering additional information about entities from the web.
Inputs
- Entity: The thing you want to enrich (company name, person, topic, etc.)
- Enrichment Columns: Choose automatic enrichment or specify custom columns
- Processor: Choose the model strength for processing
Example Enrichment Columns
| Entity Type | Common Columns |
|---|---|
| Companies | Industry, Employee Count, Revenue, Website, Headquarters, Founded Year |
| People | Job Title, Company, LinkedIn Profile, Education, Location |
| General Entities | Description, Category, Related Links, Key Facts |
Outputs
- Enriched Data: Enhanced information about your entity
Processor Selection
Both actions use the same processor options:| Processor | Description | Strength |
|---|---|---|
| Lite | Basic web browsing and research | ⭐ |
| Base | Standard processing with better analysis | ⭐⭐ |
| Core | Enhanced capabilities for complex tasks | ⭐⭐⭐ |
| Pro | Advanced processing with detailed results | ⭐⭐⭐⭐ |
| Ultra | Maximum capability for thorough research | ⭐⭐⭐⭐⭐ |
Core processor provides good balance of speed and detail for most research tasks.
Best Practices
Question Optimization
Question Optimization
- Be specific about what information you need
- Include context when asking about entities
- Use clear, direct questions for better results
- Specify timeframes when relevant
Enrichment Strategy
Enrichment Strategy
- Start with automatic enrichment to see available data
- Use specific columns when you know what you need
- Choose appropriate processor based on entity complexity
- Test with sample entities before processing large datasets
Rate Limit Management
Rate Limit Management
- When looping, set concurrency limits to prevent hitting rate limits
- Reduce parallel requests when processing large datasets
- Monitor for timeout errors and adjust concurrency accordingly