Use Reasoning Economics Engine with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Financial modeling for reasoning-intensive LLM economics.
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 Reasoning Economics Engine capability set.
These are the exact actions your AI can choose when you ask it to work with Reasoning Economics Engine.
01-04
4 capabilities in this set.
Part of 4 available through Reasoning Economics Engine.
- 01
Evaluate scaling efficiency
Predicts how costs change as the complexity of the model increases
- 02
Optimize pricing structure
Suggests a target price to achieve a specific desired profit margin
- 03
Analyze profit margin
Evaluates the financial health of a specific pricing setup
- 04
Calculate query cost
Determines the total cost to the provider for a single user query
One connector, every AI
Reasoning Economics Engine 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 Reasoning Economics Engine 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
995ms average. Fast in production.
Reasoning Economics Engine is checked daily against the live service.
- Fastest day
- 995ms
- Slowest day
- 995ms
- 14-day trend
- Stable0%
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 Reasoning Economics Engine, so you can see the experience inside your AI.
It does not authenticate your account with Reasoning Economics Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
Reasoning Economics Engine Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_k9z2bEYuzym8Oq1n6MSQF4BMRrQUChFBfJB0FlNV/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 — Reasoning Economics Engine capabilities are ready to use.
{
"mcpServers": {
"reasoning-model-economics-mcp": {
"url": "https://edge.vinkius.com/vk_preview_k9z2bEYuzym8Oq1n6MSQF4BMRrQUChFBfJB0FlNV/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 Reasoning Economics Engine owners ask.
- 01
How do I calculate the cost of a single reasoning query?
You can use the calculate_query_cost capability by providing the number of reasoning steps, the compute cost per step, and the total duration of the query.
- 02
Can I find the ideal price for a specific profit margin?
Yes, the optimize_pricing_structure capability suggests a target price to achieve your desired profit margin based on the internal cost.
- 03
How does the capability handle scaling costs?
The evaluate_scaling_efficiency capability predicts how costs change as reasoning depth increases, accounting for hardware saturation and complexity factors.
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