# Multi-Modal AI Economics Engine AI Agent Connect

> Calculate multi-modal AI costs, margins, and optimal pricing strategies.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_7myVnv2bAKXQcV6gXZz6n74RRcxjdWmDwNmEPxFw/ai-agent-connect
- **Tags:** multi-modal, pricing, cost-analysis, ai-economics, margin-optimization

## Description

This MCP server provides a specialized economic engine for multi-modal AI workloads. It allows agents to calculate the total cost of requests by accounting for text tokens, image counts, audio, and video durations, while factoring in multi-modal fusion overhead and model switching costs. Use `calculate_request_cost` to determine total expenses, `analyze_profit_margins` to evaluate profitability, `optimize_pricing_mix` to find the best price points, and `get_modality_impact_summary` to see how different modalities contribute to the total cost.

## Tools

### analyze_profit_margins
Evaluates the profitability of a specific pricing model

### calculate_request_cost
Determines the total cost of a single multi-modal request

### get_modality_impact_summary
Provides a summary of how much each modality contributes to the total cost

### optimize_pricing_mix
Recommends the best pricing structure to maximize profit

## Prompt Examples

**Prompt:** 
```
Calculate the cost for a request with 1000 text tokens, 2 images, and a $0.01 unit cost for text and $0.10 for images, with multi-modal fusion enabled.
```

**Response:** 
```
The total cost for the request is $0.12, which includes $0.01 for text, $0.20 for images, and the applicable fusion overhead.
```

**Prompt:** 
```
What is the profit margin if a request costs $0.50 and I charge the user $1.25 with a volume of 1000 requests?
```

**Response:** 
```
The gross profit is $0.75 per request, resulting in a 60% margin and a total expected profit of $750.00.
```

**Prompt:** 
```
Recommend a price for a service with a base cost of $0.40, a target margin of 40%, and a competitor price of $0.60.
```

**Response:** 
```
The recommended price is $0.60, following a Competitive-Driven strategy to match the market while maintaining viability.
```

## Frequently Asked Questions

**How does the engine handle multi-modal fusion overhead?**
The engine uses `calculate_request_cost` to add a specific fusion overhead when multiple modalities are detected in a single request, ensuring the computational cost of aligning inputs is captured.

**Can I optimize my pricing based on competitor data?**
Yes, by using the `optimize_pricing_mix` tool, you can input competitor prices and target margins to receive a recommended pricing strategy.

**What information is needed to calculate request costs?**
You need to provide text tokens, image counts, and the unit costs for each modality via `calculate_request_cost` to get an accurate total.