Use AI Evaluation Cost Analyzer with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Calculate and forecast the economic impact of AI evaluation infrastructure.
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.
Complete set · 4 capabilities
The complete AI Evaluation Cost Analyzer capability set.
These are the exact actions your AI can choose when you ask it to work with AI Evaluation Cost Analyzer.
01-04
4 capabilities in this set.
Part of 4 available through AI Evaluation Cost Analyzer.
- 01
Calculate coverage metrics
Measures how much of the total benchmark space has been validated
- 02
Get run cost breakdown
Determines the total financial expenditure for a specific evaluation run
- 03
Predict scaling budget
Forecasts the budget required to scale evaluation across multiple model versions or larger datasets
- 04
Analyze tradeoff efficiency
Evaluates the economic efficiency of the current evaluation strategy
One connector, every AI
AI Evaluation Cost Analyzer 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 Evaluation Cost Analyzer 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
902ms average. Fast in production.
AI Evaluation Cost Analyzer is checked daily against the live service.
- Fastest day
- 902ms
- Slowest day
- 976ms
- 14-day trend
- Improving-8%
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 Evaluation Cost Analyzer, so you can see the experience inside your AI.
It does not authenticate your account with AI Evaluation Cost Analyzer. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AI Evaluation Cost Analyzer Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_CddeuBcKqgwSa2lwo65262kJeqFzp4lyJ58U9E9V/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 Evaluation Cost Analyzer capabilities are ready to use.
{
"mcpServers": {
"ai-evaluation-cost-analyzer-mcp": {
"url": "https://edge.vinkius.com/vk_preview_CddeuBcKqgwSa2lwo65262kJeqFzp4lyJ58U9E9V/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 Evaluation Cost Analyzer owners ask.
- 01
How do I calculate the cost of a specific evaluation run?
You can use the get_run_cost_breakdown capability by providing the unique run ID and specifying whether the mode is 'automated' or 'human'.
- 02
Can I predict how much it will cost to scale my testing?
Yes, the predict_scaling_budget capability allows you to forecast costs based on your current run cost, a target scale factor, and a frequency multiplier.
- 03
How is the efficiency of my evaluation strategy measured?
The analyze_tradeoff_efficiency capability evaluates the balance between automated and human costs, considering a reliability weight to suggest an optimized path.
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