# NTM-IA Trust Score · Índice de Confiança · 信任评分

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## EN · NTM-IA Trust Score

### Table of Contents
1. [Overview](#en-overview)
2. [Formula Components](#en-components)
3. [Caps and Weights](#en-caps-weights)
4. [Calculation Method](#en-calculation)
5. [Current Score Interpretation](#en-interpretation)
6. [Score Evolution](#en-evolution)
7. [Comparison with NTM Original](#en-comparison)
8. [References](#en-references)

---

### EN – Overview {#en-overview}

The NTM-IA Trust Score is a **real-time confidence indicator** ranging from 0 to 100. It measures the health and maturity of the NTM-IA ecosystem based solely on **fundamental metrics** (not price or market cap).

**Core Principles:**
- ✅ **Fundamentals only** – No price, no market cap volatility  
- ✅ **Real-time** – Updates every 10 minutes with each new block  
- ✅ **Transparent** – Formula is public, all inputs are verifiable  
- ✅ **Dynamic** – Reflects current state, not long-term projections  

---

### EN – Formula Components {#en-components}

The Trust Score uses **three fundamental metrics**:

| Component | Symbol   | Description                                      | Data Source              |
|:----------|:---------|:-------------------------------------------------|:-------------------------|
| **UAs**   | `uas`    | Number of active AI User Agent variants         | `ai_ia_uas.json`         |
| **% IA**  | `pct_ia` | Percentage of AI bots in total bot traffic      | `ai-dash-snippet.php`    |
| **AI Index** | `ai_index` | Quality/confidence score of AI agents (0–1) | `ntm-trust.php` endpoint |

**Why these three?**
- They are the **fundamental drivers** of the NTM-IA ecosystem.  
- They are **verifiable** and updated in real time.  
- They **exclude price and market cap** (volatile, can be manipulated).  

---

### EN – Caps and Weights {#en-caps-weights}

#### Caps (Saturation Points)

| Component | Cap   | Justification                                              |
|:----------|:------|:-----------------------------------------------------------|
| **UAs**   | 70    | Realistic maximum for active AI User Agent variants       |
| **% IA**  | 60%   | Maximum sustainable percentage of AI bots                 |
| **AI Index** | 0.80 | Realistic quality ceiling for current AI ecosystem     |

#### Weights

| Component | Weight | Justification                                   |
|:----------|:-------|:-----------------------------------------------|
| **UAs**   | 50%    | Most important – diversity drives the ecosystem |
| **% IA**  | 25%    | Relevance of AI in total bot activity           |
| **AI Index** | 25% | Quality and trustworthiness of AI agents        |

---

### EN – Calculation Method {#en-calculation}

#### Step 1: Normalize each component (0 to 1)

```text
uas_score = min(1, uas / 70)
pct_score = min(1, pct_ia / 0.60)
ai_score  = min(1, ai_index / 0.80)
```

#### Step 2: Apply weights

```text
trust_score = (uas_score × 0.50) + (pct_score × 0.25) + (ai_score × 0.25)
```

#### Step 3: Convert to percentage (0–100)

```text
trust_score_percent = trust_score × 100
```

#### Example Calculation (Current Data)

| Component | Value   | Cap   | Normalized | Weight | Contribution |
|:----------|:--------|:------|:-----------|:-------|:-------------|
| UAs       | 58      | 70    | 0.8286     | 50%    | 0.4143       |
| % IA      | 60.5%   | 60%   | 1.0000     | 25%    | 0.2500       |
| AI Index  | 0.802   | 0.80  | 1.0000     | 25%    | 0.2500       |

```text
trust_score_percent = (0.4143 + 0.2500 + 0.2500) × 100 ≈ 91.4
```

---

### EN – Current Score Interpretation {#en-interpretation}

| Score Range | Interpretation                         |
|:------------|:----------------------------------------|
| 90–100      | Excellent – Ecosystem is mature/diverse|
| 75–89       | Good – Healthy, with room for growth   |
| 50–74       | Moderate – Early stage, developing     |
| 25–49       | Low – Initial phase                    |
| 0–24        | Very Low – Just starting               |

**Current Trust Score (example):** ~91.4 → **Excellent**.

**What keeps it from 100?**
- UAs = 58/70 (needs to reach 70 for full score).  
- `% IA` and `AI Index` are already at their caps.  

---

### EN – Score Evolution {#en-evolution}

As the ecosystem grows, the Trust Score will evolve:

| Scenario             | UAs | % IA | AI Index | Trust Score |
|:---------------------|:----|:-----|:---------|:------------|
| Today                | 58  | 60.5%| 0.802    | 91.4        |
| UAs grow to 65       | 65  | 60%  | 0.80     | 94.6        |
| UAs reach cap (70)   | 70  | 60%  | 0.80     | 100         |
| % IA declines (50%)  | 60  | 50%  | 0.75     | 84.3        |
| Full maturity (example) | 70 | 50%| 0.75     | 93.8        |

---

### EN – Comparison with NTM Original {#en-comparison}

| Aspect              | NTM Original                                | NTM-IA                                   |
|:--------------------|:--------------------------------------------|:-----------------------------------------|
| Includes price/equity? | Yes (equity)                            | No                                       |
| Includes market cap?   | No                                      | No                                       |
| Includes growth metrics?| Yes (blocks, history)                  | No (current state only)                  |
| Primary focus       | Volume + Diversity + Persistence + Value   | Diversity + Relevance + Quality          |
| Update frequency    | Every block                                | Every block                              |

**Why NTM-IA excludes growth metrics?**
- The minting ratio is already self‑regulating based on UAs.  
- Current state better reflects **trust now** than accumulated history.  
- Avoids penalizing newer phases for having fewer historical blocks.  

---

### EN – References {#en-references}

#### Related Documents
- [NTM-IA Verification Protocol](./NTM-IA-VERIFICATION.md)  
- [NTM-IA Tokenomics](./NTM-IA-TOKENOMICS.md)  
- [NTM-IA API Reference](./NTM-IA-API.md)  

#### Endpoints

| Endpoint                                                  | Description                   |
|:----------------------------------------------------------|:------------------------------|
| `https://www.netmeios.com/ntm-ia-trust.php`              | Trust score and current data  |
| `https://www.netmeios.com/ai-check-integrity-ntm-ia.php` | Chain integrity checker       |

---

## PT · Índice de Confiança do NTM-IA (Resumo)

> **Nota:** A versão inglesa acima é a referência canónica. Esta secção em PT é um resumo paralelo.

### Visão Geral

O Trust Score do NTM‑IA é um indicador de confiança em **tempo real** (0 a 100) que mede a saúde e maturidade do ecossistema com base apenas em **métricas fundamentais** (sem preço nem market cap).

### Componentes da Fórmula

Utiliza três métricas fundamentais:

| Componente                 | Símbolo   | Fonte                |
|:---------------------------|:----------|:---------------------|
| UAs (User Agents IA)       | `uas`     | `ai_ia_uas.json`     |
| % IA (percentagem de IA)   | `pct_ia`  | `ai-dash-snippet.php`|
| AI Index (qualidade da IA) | `ai_index`| `ntm-trust.php`      |

### Caps e Pesos

| Componente | Cap  | Peso |
|:-----------|:-----|:-----|
| UAs        | 70   | 50%  |
| % IA       | 60%  | 25%  |
| AI Index   | 0,80 | 25%  |

### Cálculo

```text
uas_score = min(1, uas / 70)
pct_score = min(1, pct_ia / 0,60)
ai_score  = min(1, ai_index / 0,80)

trust_score         = (uas_score × 0,50) + (pct_score × 0,25) + (ai_score × 0,25)
trust_score_percent = trust_score × 100
```

**Exemplo (dados atuais):**
- UAs = 58 → 0,8286 → contribuição ≈ 0,4143  
- % IA = 60,5% → 1,0000 → contribuição = 0,2500  
- AI Index = 0,802 → 1,0000 → contribuição = 0,2500  
- Trust Score ≈ 91,4 (**Excelente**)  

### Interpretação

| Pontuação | Interpretação |
|:----------|:--------------|
| 90–100    | Excelente     |
| 75–89     | Bom           |
| 50–74     | Moderado      |
| 25–49     | Baixo         |
| 0–24      | Muito baixo   |

**Porque exclui preço e market cap?**
- Preço é volátil e pode ser manipulado.  
- Market cap deriva diretamente do preço.  
- O objetivo é medir **fundamentos**, não valor de mercado.  

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## ZH · NTM-IA 信任评分（摘要）

> **说明：** 上面的英文版本是规范的最终参考。本节为中文摘要。

### 概述

NTM‑IA 信任评分是一个 **实时** 信心指标（0–100 分），只基于 **基本面指标**（不包含价格或市值），用于衡量 NTM‑IA 生态系统的健康程度和成熟度。

### 公式组成

使用三个核心指标：

| 组件               | 符号      | 数据源                |
|:-------------------|:----------|:----------------------|
| UAs（AI User Agents 数量） | `uas`     | `ai_ia_uas.json`     |
| % IA（AI 占比）    | `pct_ia`  | `ai-dash-snippet.php` |
| AI 指数（AI 质量） | `ai_index`| `ntm-trust.php`       |

### 上限与权重

| 组件    | 上限  | 权重 |
|:--------|:------|:-----|
| UAs     | 70    | 50%  |
| % IA    | 60%   | 25%  |
| AI 指数 | 0.80  | 25%  |

### 计算方式

```text
uas_score = min(1, uas / 70)
pct_score = min(1, pct_ia / 0.60)
ai_score  = min(1, ai_index / 0.80)

trust_score         = (uas_score × 0.50) + (pct_score × 0.25) + (ai_score × 0.25)
trust_score_percent = trust_score × 100
```

**当前示例：**
- UAs = 58 → 0.8286 → 贡献 ≈ 0.4143  
- % IA = 60.5% → 1.0000 → 贡献 = 0.2500  
- AI 指数 = 0.802 → 1.0000 → 贡献 = 0.2500  
- 信任评分 ≈ 91.4（**优秀**）  

### 分数解读

| 分数区间 | 解读   |
|:---------|:--------|
| 90–100   | 优秀   |
| 75–89    | 良好   |
| 50–74    | 中等   |
| 25–49    | 较低   |
| 0–24     | 极低   |

**为何不包括价格和市值？**
- 价格波动大，容易被操纵。  
- 市值由价格直接推导。  
- 信任评分关注的是 **基本面实力**，而非市场炒作。  

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_All three language sections are intended to be semantically aligned. In case of ambiguity, the **English** version prevails._