# UMA Oracle Rule Exploitation AI Agent Connect

> Analyze UMA market resolution rules to identify ambiguity and betting edges.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_xwHVjGE4xgudhW59vmqh6hUHpi9w5U6IO7xPKjHy/ai-agent-connect
- **Tags:** uma, oracle, prediction-markets, risk, trading

## Description

This MCP server provides deterministic parsing and risk assessment of UMA oracle resolution criteria. It helps traders identify exploitable market ambiguity by evaluating linguistic precision. Use `analyze_rule_ambiguity` to score rule clarity, `evaluate_betting_edge` to find strategic advantages in neutral markets, and `estimate_lockup_cost` to predict capital lockup duration based on historical dispute data.

## Tools

### analyze_rule_ambiguity
Evaluates the linguistic precision of market resolution rules to determine the likelihood of contested outcomes

### estimate_lockup_cost
Predicts the time-based cost of capital required to hold a position until UMA resolution

### evaluate_betting_edge
Calculates the strategic advantage of a position when high ambiguity and neutral pricing overlap

## Prompt Examples

**Prompt:** 
```
Analyze the ambiguity of this rule: 'The outcome will be decided by a notable news agency soon.'
```

**Response:** 
```
{"marketTitle": "News Agency Outcome", "ambiguityScore": 85, "anchorCount": 0, "vagueTermsFound": ["notable", "soon"]}
```

**Prompt:** 
```
Is there a betting edge for a market priced at 0.50 with an ambiguity score of 75?
```

**Response:** 
```
{"recommendedSide": "Yes", "expectedValue": 0.55, "rationale": "Historical precedents for similar phrasing favor the 'Yes' outcome due to stricter interpretation of source requirements."}
```

**Prompt:** 
```
How long will my capital be locked up for this UMA market?
```

**Response:** 
```
{"estimatedResolutionHours": 168, "confidenceInterval": "medium"}
```

## Frequently Asked Questions

**How does the ambiguity score work?**
The `analyze_rule_ambiguity` tool calculates a score based on the density of subjective descriptors versus specific resolution anchors like timestamps or named sources.

**Can I use this to find betting edges?**
Yes, if the ambiguity score is above 70 and the price is near 50/50, you can use `evaluate_betting_edge` to identify the side with a stronger historical precedent.

**How is capital lockup cost calculated?**
The `estimate_lockup_cost` tool uses the median duration of historical disputes to predict how long your capital will be committed.