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Agent Specifications

The Company Research Agent uses three specialized AI agents, each with a specific role in the research process. This document details each agent’s configuration and responsibilities.

Researcher Agent

The primary data gathering agent.

Researcher Capabilities

News Search

Finds and analyzes recent news articles about the company

Profile Discovery

Locates company profiles across professional platforms

Data Scraping

Extracts detailed information from various sources

Search Integration

Performs targeted Google searches for specific information

Data Analyst Agent

Processes and analyzes gathered information.

Analysis Capabilities

  • Market trend identification
  • Financial metric analysis
  • Competitive landscape assessment
  • Growth pattern recognition
  • Risk factor identification

Content Compiler Agent

Formats and structures the research findings.

Compilation Capabilities

  • Report structuring
  • Key insight highlighting
  • Data visualization recommendations
  • Executive summary creation
  • Action item identification

Agent Interaction Flow

Configuration Parameters

Common Parameters

Researcher-Specific Parameters

Best Practices

  1. Agent Independence
    • Each agent operates independently
    • Clear separation of responsibilities
    • Minimal cross-agent dependencies
  2. Error Handling
    • Agents handle task-specific errors
    • Graceful failure recovery
    • Clear error reporting
  3. Performance Optimization
    • Efficient tool usage
    • Resource management
    • Output filtering
Agents are designed to be autonomous but collaborative. Each agent focuses on its specific role while contributing to the overall research objective.