# AI Model A/B Testing Cost Engine AI Agent Connect

> Calculate infrastructure costs, time to significance, and ROI for AI model A/B tests.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_SPvHr2phXmDbWE30TZ3LOeINjMXsN6q4JEmBlTc9/ai-agent-connect
- **Tags:** ab-testing, roi, infrastructure, statistics, ai-ops

## Description

This MCP server provides a specialized calculation engine for managing the financial and temporal aspects of AI model experimentation. It allows agents to determine the exact cost of running tests using `calculate_experiment_cost`, predict how long it takes to reach statistical validity with `estimate_time_to_significance`, and evaluate the economic impact via `calculate_experiment_roi`. It also handles the cumulative infrastructure burden of multiple active tests through `aggregate_concurrent_costs`.

## Tools

### calculate_experiment_roi
Evaluates the economic viability of an AI model change

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

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

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

## Prompt Examples

**Prompt:** 
```
How much will it cost to run an experiment named 'Model_v2_Test' with 5 running experiments, a 0.2 traffic split, and an infrastructure cost of $50 per hour?
```

**Response:** 
```
The total cost for 'Model_v2_Test' is $250.00, with an infrastructure overhead of $250.00 and a cost per visit determined by your specific traffic volume.
```

**Prompt:** 
```
If I have 10,000 daily visits, a 0.1 traffic split, and need 0.8 statistical power, how long will the test take?
```

**Response:** 
```
The experiment is estimated to reach statistical significance in 14 days, with an estimated total of 14,000 visits required.
```

**Prompt:** 
```
Calculate the ROI for an experiment that costs $5,000 and is expected to generate $15,000 in value over 30 days.
```

**Response:** 
```
The experiment has an ROI of 200% with a net value of $10,000. The break-even point will be reached in 10 days.
```

## Frequently Asked Questions

**How does this tool 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.

**Can I estimate the duration of my experiment?**
Yes, the `estimate_time_to_significance` tool predicts the number of days required to reach a statistical threshold based on your daily traffic and required statistical power.

**How is the ROI calculated?**
The `calculate_experiment_roi` tool evaluates the ratio of the expected monetary lift to the total cost of the experiment, providing the ROI percentage and break-even days.