• RELATIVE
  • TRENDS
  • INSIGHT
  • HUMAN

How to benchmark cohort performance with your AI

Connect this MCP to your AI client to run comparative analysis on vintage data. Your agent handles the math and the comparison against market standards.

Ask AI about this page

Short answer

How do I compare a vintage year's performance to the market?

Your AI uses the compare_to_benchmarks tool to pull specific vintage metrics and run them against established market benchmarks. You get a clear view of whether a specific year outperformed or underperformed the standard. This breakdown shows you exactly how the data is processed.

The outcomes of your analysis.

Where your data lands.

Running this task produces four distinct results for your review.

RELATIVE

Performance Delta

The AI calculates the gap between your vintage metrics and the market baseline. You see exactly how much a cohort leads or lags.

TRENDS

Market Context

The agent pulls standard expectations for the period. This places your specific data within the broader market movement.

INSIGHT

Anomaly Detection

The AI flags specific metrics that deviate sharply from the norm. This highlights outliers in your cohort data.

HUMAN

Strategic Review

The AI presents the raw comparison. You decide if these deviations require a change in your investment or collection strategy.

The workflow

What your AI does when the data arrives.

The AI automates the heavy lifting of data comparison.

  1. Data ingestion

    Your agent reads the specific metrics for the vintage year you want to test.

    compare_to_benchmarks

  2. Benchmark retrieval

    The AI pulls the relevant market standard data to use as a control group.

    compare_to_benchmarks

  3. Statistical comparison

    The agent runs the math to find the variance between your cohort and the benchmark.

    compare_to_benchmarks

  4. Result formatting

    The AI organizes the delta and the context into a readable report for your chat interface.

    compare_to_benchmarks

Try it

Copy these to start.

Use these prompts to trigger the analysis immediately.

Starting points

Swap the bracketed text for your actual vintage years or specific metric names.

Accelerator Performance Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_tiTkZIrCxh1a0wtkQW9nqeU6sOAGLT00qzRNnQoy/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 Performance Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "accelerator-vintage-year-performance-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_tiTkZIrCxh1a0wtkQW9nqeU6sOAGLT00qzRNnQoy/mcp"
    }
  }
}
Copy into chat04

  • Compare the 2015 vintage performance against the standard market benchmarks.

  • How does the 2018 cohort metrics look compared to the benchmark for that year?

  • Run a benchmark comparison for the 2012 vintage using the current market expectations.

  • Show me the performance delta for the 2020 cohort versus the market average.

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

Start here

Connect Accelerator Vintage Year Performance once, then ask.

Connect to your preferred MCP-compatible client with one click. Your credentials stay encrypted and the connection is ready to use immediately.

Connect Accelerator Vintage Year Performance to your AI

FAQ

Common questions about benchmarking

  • 01

    Can the AI change my original vintage data?

    No. The AI only reads your data to perform the comparison. It cannot modify your records.

  • 02

    Does the AI decide if a vintage is a good investment?

    No. The AI provides the mathematical comparison to the benchmark, but the final investment decision stays with you.

  • 03

    What happens if the benchmark data is missing?

    The AI will notify you if it cannot find a matching market benchmark for the specific year you requested.

  • 04

    Can I use this with Claude or Cursor?

    Yes. This MCP works with any client that supports the Model Context Protocol.

  • 05

    Do I need to upload my own benchmark files?

    No. The tool uses built-in market expectations to perform the comparison automatically.

  • More questions about Accelerator Vintage Year Performance? The Connector page answers them. See everything the Accelerator Vintage Year Performance Connector can do

Connect Accelerator Performance Engine to Claude, Cursor, ChatGPT & more