# Monitor a portfolio company with AI

**Use case:** 

Feed in the latest update from a company you already back. You get the same structured read as at screening, so drift shows up between two board meetings.

## Input

```json
{
  "contextText": "Nimbus Analytics, seed stage B2B SaaS. Sells anomaly detection to mid-market logistics operators. EUR 640k ARR growing 11 percent month on month, 34 paying accounts, gross margin 78 percent, net revenue retention 121 percent. Team of nine, two founders ex-Amazon supply chain. Raising EUR 4M at a EUR 20M pre-money valuation. Eighteen months of runway at current burn.",
  "fundMandate": "Fund name: Example Ventures\nInvestment stage: seed to series A\nTicket: EUR 1M to 5M\nGeography: Europe\nSectors: B2B SaaS, data infrastructure, logistics tech",
  "memoLanguage": "en"
}
```

## Output

```json
{
  "company_name": {
    "label": "Company name",
    "format": "string"
  },
  "signal": {
    "label": "Signal",
    "format": "string"
  },
  "investment_score": {
    "label": "Investment score (1-10)",
    "format": "integer"
  },
  "recommended_action": {
    "label": "Recommended action",
    "format": "string"
  },
  "deck_confidence_score": {
    "label": "Deck confidence (1-100)",
    "format": "integer"
  },
  "deal_quality_score": {
    "label": "Deal quality (1-10)",
    "format": "integer"
  },
  "fund_fit_score": {
    "label": "Fund fit (1-10)",
    "format": "integer"
  },
  "director_verdict": {
    "label": "Strategic verdict",
    "format": "string"
  },
  "memo_url": {
    "label": "Memo URL",
    "format": "string"
  },
  "analysis_date": {
    "label": "Analysis date",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [AI Dealflow Analysis: investment memo in minutes](https://apify.com/mrbridge/ai-dealflow-analysis) with a specific input configuration. Visit the [Actor detail page](https://apify.com/mrbridge/ai-dealflow-analysis) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/mrbridge/ai-dealflow-analysis.md

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).