Models
Choose the model that fits your use case. Smart is great for quick analysis, while Deep Research models provide comprehensive multi-agent analysis with specialized agents.
#Smart
Skills-based agent for fast, efficient analysis. Discovers and uses financial skills dynamically via HTTP and sandboxed Python.
alphagent-smartRecommended for most use cases
Skills-based analysis with code execution and web search. Great for market analysis, earnings summaries, and general queries.
#Deep Research Models
Multi-agent models with 5 specialist agents working in parallel, each with domain-filtered skills. Best for comprehensive analysis.
alphagent-deep-research-fast5-agent • Speed optimized
Multi-agent research with faster response time. A Router delegates to 5 specialist agents with domain-specific skills.
alphagent-deep-research-pro5-agent • Highest quality
Multi-agent research with pro models. Best for investment research, due diligence, and comprehensive market analysis.
#Agent Architecture
Deep Research models use a Router that delegates to 5 specialist agents, each with domain-filtered skills plus a Verifier:
Fundamental Analyst
DCF valuation, financial health, peer comparison
Portfolio Manager
Portfolio risk, correlation analysis, macro overlays
Derivatives Trader
Options Greeks, stress testing, P&L attribution
Technical Analyst
Price action, liquidity, corporate actions
Sentiment Analyst
Reddit sentiment, macro/economic indicators
Verifier
Validates claims against sources
#Model Comparison
| Model | Type | Best For |
|---|---|---|
| alphagent-smart | Skills-based | General queries, most use cases |
| alphagent-deep-research-fast | 5-agent | Comprehensive research, faster |
| alphagent-deep-research-pro | 5-agent | Deep due diligence, highest quality |