sibyl

# Sibyl

**AI-powered deep research agent.** Ask any question — Sibyl searches the web across multiple sources, reads dozens of pages, cross-references findings, and generates an executive-quality research report with analysis, predictions, and citations.

Not just another search summarizer. Sibyl is a **research analysis platform** — it does structured comparisons, SWOT analysis, Google Trends tracking, event timelines, and financial data visualization. All from a single question.

## What Makes Sibyl Different

| | Traditional Search | DeepSeek/DeepSeek | GPT Researcher | **Sibyl** |
|---|---|---|---|---|
| Web search + summary | Yes | Yes | Yes | Yes |
| Multi-source (news, Reddit, Wikipedia) | No | Partial | Partial | **Yes (4 engines)** |
| Sub-question decomposition | No | No | Yes | **Yes** |
| Iterative gap-filling (search → analyze → identify gaps → search again) | No | No | Partial | **Yes** |
| Cross-source analysis (sentiment, consensus, disagreements) | No | No | No | **Yes** |
| Structured comparison tables | No | No | No | **Yes** |
| SWOT analysis | No | No | No | **Yes** |
| Google Trends data | No | No | No | **Yes** |
| Event timelines | No | No | No | **Yes** |
| Financial data + charts | No | No | No | **Yes** |
| MCP server (Claude Code, DeepSeek) | No | No | No | **Yes** |
| Multi-LLM (DeepSeek, DeepSeek, GLM, OpenAI) | No | No | Limited | **Yes (auto-detect)** |
| PDF reports with embedded charts | No | No | Basic | **Yes** |

## Quick Start

### MCP Server (for Claude Code / DeepSeek)

```bash
pip install sibyl-research
Claude MCP add sibyl -e DEEPSEEK_API_KEY=sk-... -- sibyl-mcp
```

Then in Claude Code:

> "Research the impact of AI on software engineering jobs over the next 5 years"

> "Compare NVIDIA vs AMD vs Intel for AI workloads"

> "SWOT analysis of Tesla in 2026"

### CLI

```bash
pip install sibyl-research
export DEEPSEEK_API_KEY=sk-...   # or OPENAI_API_KEY, GEMINI_API_KEY, etc.

# Standard research
sibyl "Canadian housing market outl