analyze_company

Active

declared in 3.2.0

AI-powered company analysis using semantic search over Nordic financial data. Orchestrates multiple searches internally and returns a synthesized narrative answer with source citations. Covers annual reports, quarterly reports, press releases and macroeconomic context for Nordic listed companies. Use this when you want a synthesized answer rather than raw search chunks. For raw data access, use search_filings or company_research instead. For a full due diligence report with AI-planned sections, use the Alfred MCP server: alfred.aidatanorge.no/mcp Args: company: Company name or ticker question: What you want to know about the company model: 'haiku' (default) or 'sonnet'

Parameters schema

{
  "type": "object",
  "required": [
    "company",
    "question"
  ],
  "properties": {
    "model": {
      "type": "string",
      "default": "haiku",
      "description": "Model: 'haiku' (default, fast, ~$0.07/call) or 'sonnet' (more capable, ~$0.24/call)"
    },
    "company": {
      "type": "string",
      "description": "Company name or ticker, e.g. 'Equinor' or 'EQNR'"
    },
    "question": {
      "type": "string",
      "description": "Question to answer, e.g. 'How did margins develop 2022-2024?' or 'What are the main risk factors?'"
    }
  },
  "additionalProperties": false
}

What this tool wraps· 0 endpoints

min confidence0.70 0.50

No endpoints wrapped at confidence ≥ 0.50.

Parent server

Nordic Financial MCP

https://github.com/AIDataNordic/nordic_financial_mcp

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