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ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Data Moat Valuation with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Know exactly how defensible your proprietary datasets are.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 4 capabilities

The complete AI Data Moat Valuation capability set.

These are the exact actions your AI can choose when you ask it to work with AI Data Moat Valuation.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Data Moat Valuation.

  1. 01

    Assess replication risk

    Assess risk

  2. 02

    Calculate moat valuation

    Calculate moat value

  3. 03

    Compare data assets

    Compare assets

  4. 04

    Predict advantage decay

    Predict decay

One connector, every AI

AI Data Moat Valuation works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put AI Data Moat Valuation to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

913ms average. Fast in production.

AI Data Moat Valuation is checked daily against the live service.

Daily averagePeak 973ms
Sep 5Today
Fastest day
913ms
Slowest day
973ms
14-day trend
Improving-6%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AI Data Moat Valuation, so you can see the experience inside your AI.

It does not authenticate your account with AI Data Moat Valuation. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Data Moat Valuation Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_St8LsP4RRvt5TCy6l4Z19tpE9BKMB8KI0Ybn3Jx1/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 — AI Data Moat Valuation capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-data-moat-valuation-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_St8LsP4RRvt5TCy6l4Z19tpE9BKMB8KI0Ybn3Jx1/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? link.label

See all the AI clients this connector works with ↑

Who it's for

Built for the work AI Data Moat Valuation owners hand off.

This MCP is built for finance teams, strategy consultants, and product leaders who need to prove the financial worth of their data. If your company's strategy relies on proprietary information, this capability gives you the metrics to back it up.

  • 01

    Strategy Consultant

    Uses the MCP to quantify the defensibility of client data during due diligence.

  • 02

    Data Scientist

    Feeds the MCP with dataset metrics to understand the true economic impact of their work.

  • 03

    Product Manager

    Determines which data assets should be prioritized for development based on calculated moat value.

FAQ

Questions AI Data Moat Valuation owners ask.

  • 01

    Does this MCP calculate the value of all my data?

    No. You must provide the specific metrics for the dataset you want evaluated. The MCP uses the data you feed it—like volume, quality, and replication difficulty—to calculate the moat value.

  • 02

    What kind of data is best for this valuation engine?

    The engine works best with proprietary datasets where the competitive edge is based on unique data characteristics, such as high quality or difficulty for competitors to replicate.

  • 03

    Can I use this for general business planning?

    This MCP is specialized for finance and competitive intelligence. It helps you model the economic value and strategic risk of data assets, not general operational planning.

  • 04

    Is the valuation permanent?

    No. You can use the predict_advantage_decay capability to forecast how long the competitive edge will last, which is key for long-term financial planning.

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