• METRIC
  • INSIGHT
  • ACTION
  • HUMAN

How to score investor network quality with your AI

Connect your investor data once. Your AI then calculates the strategic weight of your entire network based on how much your investors actually engage.

Ask AI about this page

Short answer

How can I measure the strategic value of my investor network?

Your AI uses relationship depth and engagement frequency to turn a list of names into a quality score. You get a clear metric showing which investors are actually active partners versus passive contacts. This breakdown shows exactly where your network is strongest.

The outcomes

What you get from this analysis

The AI processes your raw contact and interaction data into these specific outcomes.

METRIC

Network Quality Score

The AI produces a single number representing your pool's strategic value. This score weights active participants higher than dormant ones.

INSIGHT

Engagement Heatmap

You see which segments of your investor base are most responsive. This helps you identify your most reliable advocates.

ACTION

Relationship Gaps

The AI flags high-value investors who haven't engaged recently. This tells you exactly who needs a follow-up.

HUMAN

Strategic Outreach

You decide which relationships to deepen based on the scores. The AI provides the data, but you handle the actual conversations.

The workflow

What your AI does when the data arrives.

The AI handles the heavy lifting of data crunching so you can focus on the relationships.

  1. Data ingestion

    Your AI pulls in your current investor lists and interaction logs to build a baseline.

    calculate_network_quality
  2. Engagement mapping

    The agent looks at the frequency and depth of every touchpoint to see who is truly active.

    calculate_network_quality
  3. Quality scoring

    The AI applies the scoring logic to every contact in your pool.

    calculate_network_quality
  4. Reporting

    The agent organizes these scores into a readable format you can use for planning.

    calculate_network_quality

Try it

Copy these to start.

Paste these directly into your chat to begin.

Starting points

These are ideas to get you moving. Swap out the specific data sources for your own.

Accelerator IR Metrics Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_CmPGIg7Ywqm182xjKCdOzwcWRxiYvv2eCyq6EiIR/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Accelerator IR Metrics capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-investor-relations-metrics-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_CmPGIg7Ywqm182xjKCdOzwcWRxiYvv2eCyq6EiIR/mcp"
    }
  }
}
Copy into chat04
  • Calculate my network quality score using my investor spreadsheet.

  • Which investors in my CRM have the lowest engagement score right now?

  • Show me a breakdown of my network quality by investor type from my contact list.

  • Identify the top 10 most strategically valuable investors in my current pool.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Accelerator Investor Relations Metrics once, then ask.

Just link the MCP to your preferred client. Your credentials stay encrypted, and you can start asking questions immediately.

Connect Accelerator Investor Relations Metrics to your AI

FAQ

How this task behaves

  • 01

    Can the AI automatically email my investors?

    No. The AI only calculates scores and identifies gaps. You must send all communications yourself.

  • 02

    Does the AI change my data in my CRM?

    No. The AI only reads your data to perform calculations. It cannot edit or delete your existing records.

  • 03

    How does it decide what a 'high quality' investor is?

    It uses the engagement and relationship depth metrics provided in your data to assign a score.

  • 04

    What happens if my data is messy?

    The AI works with the data it can read. If contact history is missing, those investors will naturally score lower.

  • 05

    Can I use this with any AI client?

    Yes, as long as your client is MCP-compatible, like Claude, Cursor, or Windsurf.

  • More questions about Accelerator Investor Relations Metrics? The Connector page answers them. See everything the Accelerator Investor Relations Metrics Connector can do

Connect Accelerator IR Metrics to Claude, Cursor, ChatGPT & more