Use AI Training Data Valuation with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate the economic worth, scarcity premium, and licensing potential of AI training datasets.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 4 capabilities
The complete AI Training Data Valuation capability set.
These are the exact actions your AI can choose when you ask it to work with AI Training Data Valuation.
01-04
4 capabilities in this set.
Part of 4 available through AI Training Data Valuation.
- 01
Calculate dataset worth
Provides the total estimated economic value of a specific dataset
- 02
Assess licensing potential
Estimates the revenue a company could generate by selling access to the dataset
- 03
Evaluate scarcity impact
Analyzes how much of the dataset's value is driven specifically by its rarity compared to common data
- 04
Compare with synthetic
Determines the "Real-World Premium"--how much more valuable the real data is compared to its synthetic counterpart
One connector, every AI
AI Training Data 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.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put AI Training Data 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
907ms average. Fast in production.
AI Training Data Valuation is checked daily against the live service.
- Fastest day
- 893ms
- Slowest day
- 939ms
- 14-day trend
- Improving-5%
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 Training Data Valuation, so you can see the experience inside your AI.
It does not authenticate your account with AI Training Data Valuation. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Training Data Valuation Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_i1tPEfikyNm41smYZotoc7rMrt9gKmNRdupCJYf4/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AI Training Data Valuation capabilities are ready to use.
{
"mcpServers": {
"ai-training-data-valuation-engine-mcp": {
"url": "https://edge.vinkius.com/vk_preview_i1tPEfikyNm41smYZotoc7rMrt9gKmNRdupCJYf4/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
FAQ
Questions AI Training Data Valuation owners ask.
- 01
How does the engine account for synthetic data?
The engine uses compare_with_synthetic to assess the real-world premium, adjusting the dataset's competitiveness based on the cost of producing equivalent synthetic alternatives.
- 02
Can I estimate revenue from licensing my data?
Yes, by using assess_licensing_potential, you can estimate revenue potential and identify the appropriate license tier for commercial or research use.
- 03
What factors influence the total dataset value?
The calculate_dataset_worth capability calculates value based on sample count, quality score, uniqueness score, replacement cost, and synthetic alternative costs.
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