dandex

# Dandex — Danish Company Intelligence

You have access to 12 MCP tools for the Danish CVR registry. Use them to research companies, assess credit risk, find sales leads, and generate reports.

## Quick Reference

| Tool | Use When |
|------|----------|
| `company-overview` | **Start here.** Complete snapshot: info, directors, owners, financials, signals, credit — all in one call |
| `company-lookup` | Quick basic info when you just have a CVR number |
| `company-search` | Finding companies by name, industry, location, or size |
| `company-profile` | Deep dive: board members, executives, production units |
| `financial-analysis` | Multi-year revenue, profit, assets, ratios, and YoY trends |
| `person-search` | Finding a person's business relationships across companies |
| `company-network` | Mapping corporate connections and shared directors |
| `company-signals` | Sales triggers, risk warnings, and recent CVR changes |
| `find-opportunities` | Discovering sales leads by signal type or buyer intent |
| `credit-check` | Credit rating (0-100, grades A-F) with 6-component breakdown |
| `company-export` | Bulk data extraction to CSV or JSON |

## Tool Selection — Start with `company-overview`

For any company research, **always start with `company-overview`**. It returns everything in a single call: basic info, directors, owners, board members, latest financial headlines (assets, equity, revenue, profit), active signals, and credit score. Only use the specialized tools when you need more depth:

- Need 5 years of financials with ratios? → `financial-analysis`
- Need production units / branches? → `company-profile` with `includeProductionUnits: true`
- Need the full corporate network? → `company-network`
- Need detailed credit breakdown? → `credit-check`

## Tool Chaining Patterns

### 1. Quick Company Check (most common)
1. `company-overview` → everything you need in one call
2. Done. Summarize for the user.

### 2. Deep Company Research
1. `company-overview` → get the full snapshot
2. `financial-analysis` (years: 5) → multi-year trends and ratios
3. `company-network` → corporate connections and shared directors
4. `credit-check` → detailed credit breakdown (if XBRL available)
5. Synthesize into a comprehensive assessment

### 3. Due Diligence on a Person
1. `person-search` → find all their company roles
2. `company-overview` for their primary companies → quick financials + directors
3. `company-network` for the main company → map the full corporate structure
4. `financial-analysis` for key companies → detailed financial health
5. Compile into a due diligence report

### 4. Market/Industry Analysis
1. `company-search` with industry code → find players
2. `company-overview` for top 3-5 → quick comparison data
3. `financial-analysis` for top companies → benchmark metrics
4. `company-export` → structured data for comparison tables

### 5. Credit Assessment
1. `credit-check` → score + grade + 6 components
2. `financial-analysis` → verify underlying data and trends
3. `company-signals` → check for risk warnings
4. Synthesize into a credit opinion

### 6. Sales Prospecting by Buyer Intent
1. `find-opportunities` with `buyerIntent` filter → e.g., "ERP", "office furniture", "consulting"
2. `company-overview` for top leads → directors + financials + credit
3. Generate a prioritized outreach list with decision-maker names

### 7. Sales Prospecting by Signal Type
1. `find-opportunities` with `signalTypes` filter → e.g., "new_leadership", "growth_surge"
2. `company-overview` for top leads → full snapshot
3. `credit-check` for top leads → verify they can pay
4. Generate outreach list with signal context

### 8. Corporate Network Investigation
1. `company-network` → map all connections from a company
2. `person-search` for key people → find their other companies
3. `company-overview` for connected companies → quick assessment
4. Map ownership and control structures

### 9. Comprehensive Company Report
1. `company-overview` → basic info + management + financial headlines
2. `financial-analysis` (years: 5) → full financial history with ratios
3. `credit-check` → credit assessment
4. `company-signals` → recent changes + active signals
5. `company-network` → corporate connections
6. Compile into structured report with executive summary

### 10. Bulk Data Work
1. `company-search` → collect CVR numbers matching criteria
2. `company-export` (CSV or JSON) → structured output

### 11. Org Chart / Management Structure
1. `company-overview` → directors, owners, board members at a glance
2. `company-profile` → full participant list with role types
3. `person-search` for key executives → find their other roles and companies
4. `company-network` → map shared directors across related companies
5. Structure into hierarchy: Directors (day-to-day) → Board (governance) → Owners (control)
6. For each person, note role start dates to show tenure

### 12. Management Change Monitoring (Re-org Detection)
1. `find-opportunities` with `signalTypes: ["new_leadership", "board_reshuffle", "ownership_change"]` → companies with recent management changes
2. `company-signals` for specific CVR → see director/board/owner changes with dates
3. `company-overview` → get updated management team
4. Compare with previous knowledge to identify who's new and who left
5. Use `buyerIntent: "recruitment"` or `buyerIntent: "executive recruitment"` to find companies likely needing staffing

### 13. Enterprise Proposal Preparation
1. `company-overview` → size, industry, financials, management
2. `company-profile` with `includeProductionUnits: true` → branches/locations
3. `company-network` → group structure, parent/subsidiary relationships
4. `person-search` for key decision-makers → their full profile and other roles
5. `financial-analysis` (years: 3) → growth trajectory, budget capacity
6. Compile: org size, decision-makers by name, locations, financial health, recent signals

## Deep Research Workflow

When asked to do deep research on a company, industry, or person, follow this systematic approach:

### Company Deep Research
1. **Identify**: `company-search` or `company-overview` if CVR known
2. **Profile**: Directors, owners, board — who controls this company?
3. **Financials**: 3-5 year trend — growing or declining? Profitable?
4. **Credit**: What's the risk profile? Any warnings?
5. **Network**: Who else are the directors connected to? Group structure?
6. **Signals**: Any recent changes? Leadership shifts? Growth indicators?
7. **Context**: Cross-reference findings — do the financials support the signals?
8. **Report**: Structure findings with executive summary, key metrics table, risk assessment

### Industry Deep Research
1. **Map the landscape**: `company-search` by NACE code → find all players
2. **Segment by size**: Filter by employee count to identify leaders vs SMEs
3. **Financial benchmark**: `financial-analysis` for top 5-10 → compare margins, growth
4. **Activity scan**: `find-opportunities` filtered by industry → recent changes
5. **Network analysis**: `company-network` for top players → find shared directors, group structures
6. **Report**: Market size estimate, competitive positioning, growth trends, key players table

### Person Deep Research
1. **Find roles**: `person-search` → all current and former company associations
2. **Assess companies**: `company-overview` for each active company
3. **Financial health**: `financial-analysis` for primary companies
4. **Network map**: Which other people do they serve on boards with?
5. **Risk check**: Any companies in distress? Recent director changes?
6. **Report**: Professional profile, portfolio assessment, risk flags

## Key Rules

- **CVR numbers are always 8 digits** (e.g., `24256790` for Novo Nordisk)
- **Industry codes** follow Danish NACE classification (e.g., `620100` for software)
- **Municipality codes** are numeric (e.g., `101` for Copenhagen, `851` for Aalborg)
- **Company form codes**: `80` = ApS, `60` = A/S, `10` = Enkeltmandsvirksomhed
- **Financial amounts** are in DKK
- **Credit grades**: A (80-100), B (60-79), C (40-59), D (20-39), E (1-19), F (dissolved)
- **Signal types**: `new_leadership`, `growth_surge`, `ownership_change`, `company_formation`, `office_relocation`, `restructuring`, `industry_pivot`, `board_reshuffle`
- **Buyer intents**: `ERP`, `consulting`, `office furniture`, `recruitment`, `executive recruitment`, `staffing agency`, `cloud infrastructure`, `accounting`, `legal counsel`, `tech recruitment`, and more — use with `find-opportunities`
- **Employee data**: `company-overview` uses XBRL data (more recent) over CVR metadata (may be stale)

## Response Formatting

- Lead with the most important finding (company name, status, key metric)
- Use tables for comparing multiple companies or years of financials
- For credit checks, always state the grade and score prominently
- For financial data, highlight trends (growing/declining) and notable ratios
- For signals, explain what the signal means for the user's context (buying intent)
- Always mention the data source: "Danish CVR Registry (Erhvervsstyrelsen)"

## Report Templates

When asked to generate a report, use these structures:

### Executive Summary
One paragraph covering: company name, status, industry, size, financial health, credit grade, and any notable signals or risks.

### Company Overview Table
| Field | Value |
|-------|-------|
| Company | Name (CVR) |
| Status | Active/Dissolved |
| Legal Form | A/S / ApS / etc. |
| Industry | Description (code) |
| Address | Street, City |
| Employees | Count (year) |
| Founded | Date |
| Credit Grade | A-F (score/100) |

### Financial Trend Table
| Year | Revenue | Profit | Assets | Equity | Margin |
|------|---------|--------|--------|--------|--------|
| Latest year metrics from financial-analysis |

### Credit Assessment
- **Grade: [A-F]** (Score: X/100, Confidence: X%)
- Solvency: X/100 — equity ratio, debt levels
- Profitability: X/100 — margins, ROE
- Liquidity: X/100 — current ratio, cash position
- Stability: X/100 — company age, director changes
- Growth: X/100 — revenue/employee trends
- Warnings: [list any]

## Rate Limits
- Free tier: 100/hour, 300/day, 3,000/month
- Pro tier: 400/hour, 2,000/day, 50,000/month
- Use `company-overview` to minimize API calls (replaces 3 separate tools)
- Batch where possible: use `company-export` instead of individual lookups

For detailed tool parameters, field mappings, and examples, see the reference files.