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‎docs/showcase/truth-tracer.mdx‎

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---
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title: TruthTracer | AI-Powered Misinformation Detection Platform
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description: A comprehensive misinformation detection platform that uses Perplexity's Sonar API to analyze claims, trace trust chains, and provide Socratic reasoning for fact verification
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sidebar_position: 25
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keywords: [TruthTracer, misinformation detection, fact-checking, trust chain analysis, Socratic reasoning, Perplexity, Sonar API, NestJS, React]
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---
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**TruthTracer** is a comprehensive misinformation detection platform that leverages Perplexity's Sonar API to provide multi-layered claim analysis. The platform combines fact-checking, trust chain tracing, and Socratic reasoning to deliver accurate, evidence-based verification results with confidence scores and detailed sourcing.
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### Demo
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<iframe
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className="w-full aspect-video rounded-xl"
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src="https://www.youtube.com/embed/twXeyK5ajyE"
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title="YouTube video player"
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frameBorder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
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allowFullScreen
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></iframe>
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## Features
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* **Multi-method Analysis** combining fact-checking, trust chain analysis, and Socratic reasoning
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* **AI-Powered Verification** using Perplexity's Sonar, Sonar Deep Research, and Sonar Reasoning models
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* **Real-time Processing** with parallel execution of multiple analysis methods
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* **Evidence-based Results** providing sources, confidence scores, and detailed reasoning
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* **Clean Architecture** with NestJS backend and React frontend
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* **Production-Ready** with Docker deployment, comprehensive testing, and API documentation
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* **Configurable Confidence Scoring** with customizable weights and thresholds
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## Prerequisites
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* Node.js 18+ and npm
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* Perplexity API key (Sonar models access)
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* Docker (optional for deployment)
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* Git for repository cloning
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## Installation
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```bash
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# Clone the backend repository
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git clone https://github.com/anthony-okoye/truth-tracer-backend.git
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cd truth-tracer-backend
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# Install dependencies
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npm install
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# Clone the frontend repository
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git clone https://github.com/anthony-okoye/truth-tracer-front.git
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cd truth-tracer-front
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# Install frontend dependencies
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npm install
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```
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## Configuration
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Create `.env` file in the backend directory:
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```ini
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# Required
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SONAR_API_KEY=your_perplexity_api_key
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SONAR_API_URL=https://api.perplexity.ai
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# Optional configuration
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SONAR_TIMEOUT=30000
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SONAR_MAX_RETRIES=3
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CONFIDENCE_WEIGHT_FACT_CHECK=0.35
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CONFIDENCE_WEIGHT_TRUST_CHAIN=0.25
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CONFIDENCE_WEIGHT_SOCRATIC=0.20
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```
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## Usage
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1. **Start Backend**:
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```bash
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cd truth-tracer-backend
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npm run start:dev
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```
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2. **Start Frontend**:
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```bash
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cd truth-tracer-front
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npm start
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```
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3. **Access Application**: Open http://localhost:3000 in your browser
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4. **Analyze Claims**:
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- Enter a claim in the text area
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- Click "Analyze Claim" to run fact-checking, trust chain analysis, and Socratic reasoning
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- View results with confidence scores, sources, and detailed explanations
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## Code Explanation
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* **Backend**: NestJS application with clean architecture following TypeScript best practices
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* **AI Integration**: Perplexity Sonar API with three specialized models - Sonar for fact-checking, Sonar Deep Research for trust chain analysis, and Sonar Reasoning for logical evaluation
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* **Parallel Processing**: Simultaneous execution of all three analysis methods for efficient claim verification
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* **Response Sanitization**: Custom JSON parsing and validation to handle various API response formats
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* **Confidence Scoring**: Weighted scoring system combining results from all three analysis methods
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* **Frontend**: React application with intuitive claim submission interface and detailed results visualization
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* **Testing**: Comprehensive test suite including unit tests, end-to-end tests, and claim analysis testing
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## How the Sonar API is Used
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TruthTracer leverages Perplexity's Sonar API through three distinct analysis approaches:
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```typescript
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// Parallel execution of multiple Sonar models
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const [factCheckResult, trustChainResult, socraticResult] = await Promise.all([
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sonarClient.chat.completions.create({
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model: "sonar",
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messages: [{ role: "user", content: factCheckPrompt }],
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max_tokens: 500
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}),
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sonarClient.chat.completions.create({
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model: "sonar-deep-research",
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messages: [{ role: "user", content: trustChainPrompt }],
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max_tokens: 2500
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}),
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sonarClient.chat.completions.create({
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model: "sonar-reasoning",
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messages: [{ role: "user", content: socraticPrompt }],
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max_tokens: 4000
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})
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]);
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```
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## Links
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- [Live Demo](https://truthtracer.netlify.app/)
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- [Backend Repository](https://github.com/anthony-okoye/truth-tracer-backend)
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- [Frontend Repository](https://github.com/anthony-okoye/truth-tracer-front)
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---
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title: TruthTracer | AI-Powered Misinformation Detection Platform
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description: A comprehensive misinformation detection platform that uses Perplexity's Sonar API to analyze claims, trace trust chains, and provide Socratic reasoning for fact verification
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sidebar_position: 25
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keywords: [TruthTracer, misinformation detection, fact-checking, trust chain analysis, Socratic reasoning, Perplexity, Sonar API, NestJS, React]
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---
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**TruthTracer** is a comprehensive misinformation detection platform that leverages Perplexity's Sonar API to provide multi-layered claim analysis. The platform combines fact-checking, trust chain tracing, and Socratic reasoning to deliver accurate, evidence-based verification results with confidence scores and detailed sourcing.
9+
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### Demo
11+
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<iframe
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className="w-full aspect-video rounded-xl"
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src="https://www.youtube.com/embed/twXeyK5ajyE"
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title="YouTube video player"
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frameBorder="0"
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allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
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allowFullScreen
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></iframe>
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## Features
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* **Multi-method Analysis** combining fact-checking, trust chain analysis, and Socratic reasoning
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* **AI-Powered Verification** using Perplexity's Sonar, Sonar Deep Research, and Sonar Reasoning models
25+
* **Real-time Processing** with parallel execution of multiple analysis methods
26+
* **Evidence-based Results** providing sources, confidence scores, and detailed reasoning
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* **Clean Architecture** with NestJS backend and React frontend
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* **Production-Ready** with Docker deployment, comprehensive testing, and API documentation
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* **Configurable Confidence Scoring** with customizable weights and thresholds
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## Prerequisites
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* Node.js 18+ and npm
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* Perplexity API key (Sonar models access)
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* Docker (optional for deployment)
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* Git for repository cloning
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## Installation
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```bash
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# Clone the backend repository
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git clone https://github.com/anthony-okoye/truth-tracer-backend.git
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cd truth-tracer-backend
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# Install dependencies
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npm install
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# Clone the frontend repository
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git clone https://github.com/anthony-okoye/truth-tracer-front.git
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cd truth-tracer-front
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# Install frontend dependencies
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npm install
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```
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## Configuration
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Create `.env` file in the backend directory:
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```ini
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# Required
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SONAR_API_KEY=your_perplexity_api_key
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SONAR_API_URL=https://api.perplexity.ai
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# Optional configuration
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SONAR_TIMEOUT=30000
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SONAR_MAX_RETRIES=3
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CONFIDENCE_WEIGHT_FACT_CHECK=0.35
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CONFIDENCE_WEIGHT_TRUST_CHAIN=0.25
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CONFIDENCE_WEIGHT_SOCRATIC=0.20
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```
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## Usage
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1. **Start Backend**:
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```bash
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cd truth-tracer-backend
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npm run start:dev
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```
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2. **Start Frontend**:
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```bash
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cd truth-tracer-front
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npm start
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```
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3. **Access Application**: Open http://localhost:3000 in your browser
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4. **Analyze Claims**:
89+
- Enter a claim in the text area
90+
- Click "Analyze Claim" to run fact-checking, trust chain analysis, and Socratic reasoning
91+
- View results with confidence scores, sources, and detailed explanations
92+
93+
## Code Explanation
94+
95+
* **Backend**: NestJS application with clean architecture following TypeScript best practices
96+
* **AI Integration**: Perplexity Sonar API with three specialized models - Sonar for fact-checking, Sonar Deep Research for trust chain analysis, and Sonar Reasoning for logical evaluation
97+
* **Parallel Processing**: Simultaneous execution of all three analysis methods for efficient claim verification
98+
* **Response Sanitization**: Custom JSON parsing and validation to handle various API response formats
99+
* **Confidence Scoring**: Weighted scoring system combining results from all three analysis methods
100+
* **Frontend**: React application with intuitive claim submission interface and detailed results visualization
101+
* **Testing**: Comprehensive test suite including unit tests, end-to-end tests, and claim analysis testing
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103+
## How the Sonar API is Used
104+
105+
TruthTracer leverages Perplexity's Sonar API through three distinct analysis approaches:
106+
107+
```typescript
108+
// Parallel execution of multiple Sonar models
109+
const [factCheckResult, trustChainResult, socraticResult] = await Promise.all([
110+
sonarClient.chat.completions.create({
111+
model: "sonar",
112+
messages: [{ role: "user", content: factCheckPrompt }],
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max_tokens: 500
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}),
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sonarClient.chat.completions.create({
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model: "sonar-deep-research",
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messages: [{ role: "user", content: trustChainPrompt }],
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max_tokens: 2500
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}),
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sonarClient.chat.completions.create({
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model: "sonar-reasoning",
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messages: [{ role: "user", content: socraticPrompt }],
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max_tokens: 4000
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})
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]);
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```
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## Links
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- [Live Demo](https://truthtracer.netlify.app/)
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- [Backend Repository](https://github.com/anthony-okoye/truth-tracer-backend)
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- [Frontend Repository](https://github.com/anthony-okoye/truth-tracer-front)

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