ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use AI Model A/B Testing Cost Engine with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Calculate infrastructure costs, time to significance, and ROI for AI model A/B tests.

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 Model A/B Testing Cost Engine capability set.

These are the exact actions your AI can choose when you ask it to work with AI Model A/B Testing Cost Engine.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through AI Model A/B Testing Cost Engine.

  1. 01

    Calculate experiment roi

    Evaluates the economic viability of an AI model change

  2. 02

    Aggregate concurrent costs

    Sums the total infrastructure burden of all running A/B tests

  3. 03

    Calculate experiment cost

    Calculates the specific financial cost for a single experiment based on its unique parameters

  4. 04

    Estimate time to significance

    Predicts how long an experiment must run before the results are statistically valid

One connector, every AI

AI Model A/B Testing Cost 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.

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

You don't need a client to put AI Model A/B Testing Cost 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

1123ms average. Fast in production.

AI Model A/B Testing Cost Engine is checked daily against the live service.

Daily averagePeak 1123ms
Sep 6Today
Fastest day
1123ms
Slowest day
1123ms
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 AI Model A/B Testing Cost Engine, so you can see the experience inside your AI.

It does not authenticate your account with AI Model A/B Testing Cost Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

AI Model A/B Testing Cost Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_SPvHr2phXmDbWE30TZ3LOeINjMXsN6q4JEmBlTc9/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 Model A/B Testing Cost Engine capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "ai-model-ab-testing-cost-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_SPvHr2phXmDbWE30TZ3LOeINjMXsN6q4JEmBlTc9/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 ↑

FAQ

Questions AI Model A/B Testing Cost Engine owners ask.

  • 01

    How does this capability account for multiple experiments?

    You can use aggregate_concurrent_costs to sum the total infrastructure burden of all active tests, ensuring you account for the cumulative load on your compute and data stack.

  • 02

    Can I estimate the duration of my experiment?

    Yes, the estimate_time_to_significance capability predicts the number of days required to reach a statistical threshold based on your daily traffic and required statistical power.

  • 03

    How is the ROI calculated?

    The calculate_experiment_roi capability evaluates the ratio of the expected monetary lift to the total cost of the experiment, providing the ROI percentage and break-even days.