# Prompt Compression Efficiency Calculator AI Agent Connect

> Evaluate the performance, cost-effectiveness, and quality impact of prompt compression techniques.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_9mxmQhVbw4wnT1kePMpmvcingGcAqSLM16D6dDy3/ai-agent-connect
- **Tags:** prompt-engineering, token-optimization, cost-reduction, llm-efficiency, compression

## Description

This MCP server provides deterministic tools to measure how effectively different prompt compression methods reduce token counts while maintaining semantic integrity. Use `calculate_compression_metrics` to derive the compression ratio, tokens saved, and cost savings. You can also use `evaluate_technique_performance` to verify if a specific method like summarization, pruning, or abstraction falls within expected domain benchmarks, or `recommend_optimal_technique` to identify the most efficient approach based on efficiency scores.

## Tools

### recommend_optimal_technique
Determines the most suitable compression technique based on efficiency scores

### calculate_compression_metrics
Calculates the core mathematical performance metrics of a single compression attempt

### evaluate_technique_performance
Compares a specific compression result against expected performance benchmarks

## Prompt Examples

**Prompt:** 
```
Calculate the metrics for a prompt that went from 1000 tokens to 200 tokens, with a quality score drop from 0.9 to 0.85, at a cost of 0.00002 per token.
```

**Response:** 
```
The compression ratio is 5.0, tokens saved is 800, quality retention is 0.944, compression efficiency is 0.188, and cost savings is 0.016.
```

**Prompt:** 
```
Is a summarization technique with a 7:1 ratio and 15% quality loss within the expected range?
```

**Response:** 
```
Yes, a summarization technique with a 7:1 ratio and 15% quality loss is within the expected performance benchmarks.
```

**Prompt:** 
```
Which technique is better: summarization with 0.5 efficiency or pruning with 0.8 efficiency?
```

**Response:** 
```
The recommended technique is pruning.
```

## Frequently Asked Questions

**How do I calculate the cost savings of my prompt compression?**
You can use the `calculate_compression_metrics` tool. By providing the original token count, compressed token count, and the cost per token, the tool automatically calculates the `costSavings` for you.

**What is considered a significant quality loss?**
The tool triggers a quality warning if the `qualityRetention` falls below 0.7, indicating that the compression may have significantly degraded the prompt's utility.

**Can I compare different compression techniques?**
Yes. Use `recommend_optimal_technique` by passing an array of efficiency scores to determine which method provides the best balance of size reduction and quality preservation.