# Reconciliation Analysis AI Agent Connect

> Analyze mine production discrepancies by comparing resource models, mine output, and mill feed.

## Overview
- **Category:** analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_sClAlFwhryR6mwqWVNP6I9nzbvf0lLPHQgLnhm34/ai-agent-connect
- **Tags:** reconciliation, mining, geology, production, accuracy

## Description

This MCP server provides tools to perform mine reconciliation analysis. It connects AI agents to geological and production data to identify discrepancies in the mining value chain. Use `get_reconciliation_factors` to compare stages, `calculate_model_accuracy` to evaluate resource models, `calculate_adjustment_factors` for predictive corrections, and `identify_discrepancy_sources` to diagnose ore loss or dilution.

## Tools

### calculate_model_accuracy
Evaluates the reliability of the geological resource model against actual production data

### get_reconciliation_factors
Compares different stages of the production chain to calculate specific reconciliation ratios

### identify_discrepancy_sources
Diagnoses whether discrepancies are caused by geological estimation errors, mining dilution, or mill recovery issues

### calculate_adjustment_factors
Generates correction coefficients to improve future model predictions based on historical reconciliation results

## Prompt Examples

**Prompt:** 
```
Calculate the reconciliation factor between the model and the mine.
```

**Response:** 
```
The reconciliation factor between the model and the mine is 0.92, indicating a 8% discrepancy.
```

**Prompt:** 
```
How accurate is the resource model for the current production data?
```

**Response:** 
```
The model accuracy score is 0.95, which is considered High accuracy.
```

**Prompt:** 
```
What is causing the discrepancy between the model, mine, and mill?
```

**Response:** 
```
The primary source of discrepancy is Mining Dilution, with an estimated dilution percentage of 5.2%.
```

## Frequently Asked Questions

**How can I compare the resource model to mine production?**
You can use the `get_reconciliation_factors` tool to compare the model stage with the mine stage.

**What does the accuracy score represent?**
The accuracy score from `calculate_model_accuracy` indicates how closely the geological model's predictions align with actual mine production.

**Can I identify the cause of ore loss?**
Yes, use `identify_discrepancy_sources` to diagnose if issues stem from geological estimation, mining dilution, or mill recovery.