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Octagon Deep Research Agent
Model Name: octagon-deep-research-agent
A comprehensive agent that can utilize multiple sources for deep research analysis.
Capabilities
- Aggregate research across multiple data sources
- Synthesize information from various financial and market sources
- Provide comprehensive investment research
- Analyze market trends and industry developments
- Connect insights across different data points and time periods
Use Cases
The Deep Research Agent is best for:
- Investment research questions requiring up-to-date aggregated information
- Comprehensive analysis of market trends and industry developments
- Connecting financial performance with qualitative factors
- Understanding the impact of external events on companies and sectors
- Developing investment theses with multiple supporting data points
Example Queries
- "Research the financial impact of Apple's privacy changes on digital advertising companies' revenue and margins"
- "Analyze the competitive landscape in the cloud computing sector, focusing on AWS, Azure, and Google Cloud margin and growth trends"
- "Investigate the factors driving electric vehicle adoption and their impact on battery supplier financials"
Code Examples
Python
response = client.responses.create(
model="octagon-deep-research-agent",
input="Research the financial impact of Apple's privacy changes on digital advertising companies' revenue and margins",
stream=True
)
JavaScript
const response = await client.responses.create({
model: "octagon-deep-research-agent",
input: "Research the financial impact of Apple'\''s privacy changes on digital advertising companies'\'' revenue and margins",
stream: true
});
cURL
curl -X POST https://api.octagonagents.com/v1/responses \
-H "Content-Type: application/json" \
-H "Authorization: Bearer your-octagon-api-key" \
-d '{
"model": "octagon-deep-research-agent",
"input": "Research the financial impact of Apple'\''s privacy changes on digital advertising companies'\'' revenue and margins",
"stream": true
}' \
--no-buffer