# AI Safety Evaluation Score AI Agent Connect

> Translates technical AI safety metrics into financial risk profiles and safety posture scores.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_ndxgwGe3ppWpFRP4zbWPI2mQDg4oedTcw3BpF5gv/ai-agent-connect
- **Tags:** risk, compliance, safety, investment, audit

## Description

This MCP server provides institutional investors with a specialized assessment engine to quantify AI risk. It converts technical data from safety evaluations, red-teaming, and bias assessments into actionable financial metrics. Use `calculate_safety_posture` to determine the overall robustness of a model, `assess_regulatory_exposure` to evaluate legal risks in specific jurisdictions like the EU or USA, and `estimate_liability_risk` to project potential financial impact based on vulnerabilities and user base size. It also allows for industry-specific comparisons using `get_safety_benchmarks`.

### Available Tools

`calculate_safety_posture_tool`, `assess_regulatory_exposure_tool`, `estimate_liability_risk_tool`, `get_safety_benchmarks_tool`

## Tools

### calculate_safety_posture_tool
Calculates the overall safety posture score for an AI model

### get_safety_benchmarks_tool
Compares a specific model's data against industry standard safety tiers

### assess_regulatory_exposure_tool
Determines the likelihood and impact of legal intervention

### estimate_liability_risk_tool
Translates safety failures into potential financial liability

## Prompt Examples

**Prompt:** 
```
What is the safety posture for a model with 50 passed evaluations, 2 red-teaming failures, a bias score of 10, and no certifications?
```

**Response:** 
```
The calculated safety score is 75, which falls into the Robust status level with a high confidence rating.
```

**Prompt:** 
```
What is the regulatory exposure for a General Purpose model in the EU with current certification?
```

**Response:** 
```
The exposure level is Medium, with the EU AI Act being the primary regulatory driver.
```

**Prompt:** 
```
Estimate the liability risk for a model with critical red-teaming severity and a systemic bias impact for 1,000,000 users.
```

**Response:** 
```
The risk magnitude is extremely high, with a potential impact involving significant class-action litigation and regulatory fines.
```

## Frequently Asked Questions

**How is the safety score calculated?**
The score is derived from successful safety evaluations, the severity of red-teaming failures, detected bias, and whether the model holds industry certifications via `calculate_safety_posture`. Tools available: `calculate_safety_posture_tool`, `assess_regulatory_exposure_tool`, `estimate_liability_risk_tool`.

**Can I assess regulatory risk for specific regions?**
Yes, use `assess_regulatory_exposure` to determine the likelihood of legal intervention in jurisdictions such as the EU or USA.

**How does this tool help with financial planning?**
By using `estimate_liability_risk`, investors can translate technical safety failures into potential financial liability based on the scale of the user base and severity of vulnerabilities.