🚀 API Explorer Pipeline

A GSoC 2026 Proof of Concept Project for API Bash

An intelligent API discovery and exploration platform that automatically processes OpenAPI specifications, generates a searchable registry, and provides AI-powered natural language search capabilities.

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📋 Table of Contents

• Problem Statement
• Solution
• Features
• Tech Stack
• Project Structure
• Quick Start
• API Documentation
• CI/CD Pipeline
• Troubleshooting
• Screenshots
• Future Improvements
• Contributing
• Author

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🎯 Problem Statement

Developers often struggle with:

• API Discovery: Finding the right API for their needs among hundreds of options
• Manual Documentation: Reading through lengthy API documentation to understand endpoints
• Integration Complexity: Understanding authentication, request formats, and response structures
• Time Waste: Spending hours searching for APIs instead of building features

💡 Solution

API Explorer Pipeline automates the entire API discovery workflow:

1. Automated Processing: Batch processes OpenAPI specifications (JSON/YAML)
2. Intelligent Registry: Generates a searchable, categorized API registry
3. AI-Powered Search: Natural language queries like "get users" or "weather forecast"
4. Ready-to-Use Templates: Auto-generates curl and PowerShell commands
5. Visual Interface: Browse, filter, and explore APIs through an intuitive UI

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✨ Features

🔄 OpenAPI Processing Pipeline

• Batch processes multiple OpenAPI 3.0 specifications
• Supports both JSON and YAML formats
• Extracts endpoints, authentication, and metadata
• Generates normalized API registry

📚 API Registry Generation

• Modular registry system with global index
• Individual API folders with metadata and specs
• Automatic categorization (AI, Finance, Weather, Social, etc.)
• Version tracking and update management

🖥️ Backend API Server

• RESTful API endpoints for registry access
• Category-based filtering
• Real-time API statistics
• CORS-enabled for frontend integration

🤖 AI-Powered API Search

• Natural language query processing
• Intent detection (get, create, update, delete)
• Entity extraction (users, pets, products, etc.)
• Confidence scoring and ranking
• Multiple result suggestions

🎨 Frontend Interface

• Clean, modern UI for API exploration
• Search and filter capabilities
• Method-based filtering (GET, POST, PUT, DELETE)
• Category and authentication type filters
• Copy-to-clipboard for code templates

🔧 Template Generation

• Auto-generates curl commands
• PowerShell script generation
• Includes authentication headers
• Request body examples for POST/PUT

⚙️ CI/CD Automation

• Automated testing on every push
• Multi-stage validation pipeline
• Integration testing
• Artifact uploads for debugging

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🛠️ Tech Stack

Component	Technology	Purpose
Pipeline	Python 3.9+	OpenAPI processing and registry generation
Backend	Node.js 18+	API server and AI search engine
Frontend	HTML5, CSS3, Vanilla JS	User interface
CI/CD	GitHub Actions	Automated testing and deployment
Data Format	JSON, YAML	OpenAPI specifications
Package Management	pip, npm	Dependency management

Key Libraries

• Python: PyYAML (YAML parsing)
• Node.js: Express (web server), CORS (cross-origin support)
• Frontend: Fetch API (HTTP requests)

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📁 Project Structure

gsoc-poc/
├── .github/
│   └── workflows/
│       └── main.yml                 # CI/CD pipeline configuration
├── projects/
│   └── api-explorer-pipeline/
│       ├── data/                    # OpenAPI specification files
│       │   ├── *.json              # JSON format specs
│       │   └── *.yaml              # YAML format specs
│       ├── pipeline/                # Processing pipeline
│       │   ├── batch_processor.py  # Main batch processor
│       │   ├── parser.py           # OpenAPI parser
│       │   ├── template_generator.py # Template generator
│       │   └── registry_manager.py # Registry management
│       ├── backend/                 # Node.js backend server
│       │   ├── simple-server.js    # Express server
│       │   ├── agent_tools.js      # AI search engine
│       │   └── package.json        # Node dependencies
│       ├── frontend/                # Web interface
│       │   ├── index.html          # Main HTML page
│       │   ├── script.js           # Frontend logic
│       │   ├── style.css           # Styling
│       │   └── serve.js            # Frontend server
│       ├── registry/                # Generated API registry
│       │   └── global_index.json   # Master registry file
│       ├── apis/                    # Individual API data
│       │   └── {api-id}/
│       │       ├── metadata.json   # API metadata
│       │       └── openapi.json    # Full OpenAPI spec
│       ├── api_templates/           # Generated templates
│       └── requirements.txt         # Python dependencies
├── README.md                        # This file

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🚀 Quick Start

Prerequisites

• Python 3.9 or higher
• Node.js 18 or higher
• Git Bash (for Windows) or Terminal (for Mac/Linux)

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Step 1: Clone the Repository

For Windows (Git Bash):

cd /c/Users/YOUR_USERNAME/Documents
git clone https://github.com/Niharikajakkula/gsoc-poc.git

For Mac/Linux:

cd ~/Documents
git clone https://github.com/Niharikajakkula/gsoc-poc.git

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Step 2: Install Python Dependencies

cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline
pip install -r requirements.txt

Expected Output:

Successfully installed PyYAML-6.0

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Step 3: Install Node.js Dependencies

cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline/backend
npm install

Expected Output:

added 50 packages in 5s

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Step 4: Process OpenAPI Files

This step reads all API files and creates a searchable registry.

cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline
python pipeline/batch_processor.py data --clear

Expected Output:

API Explorer Pipeline - Batch Processor
========================================
Found 13 file(s)
[SUCCESS] Added API: Auth Examples API (2 endpoints)
[SUCCESS] Added API: Pet Store API (7 endpoints)
...
✅ Total APIs in registry: 13
✅ Templates generated: 40

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Step 5: Start the Backend Server

Open a NEW terminal/Git Bash window and run:

cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline/backend
node simple-server.js

Expected Output:

🤖 Agent Tools: Loaded 13 APIs from global_index.json
🚀 API Explorer Backend running on port 3002
🚀 Server URL: http://localhost:3002

✅ Backend is now running! Keep this window open.

Open browser and go to: http://localhost:3002

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Step 6: Start the Frontend

Open ANOTHER NEW terminal/Git Bash window and run:

cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline/frontend
node serve.js

Expected Output:

Frontend server running on http://localhost:3001

✅ Frontend is now running! Keep this window open.

Open in browser: http://localhost:3001

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🎉 You're Done!

You should now have:

• ✅ Backend running on http://localhost:3002
• ✅ Frontend running on http://localhost:3001
• ✅ 13 APIs ready to explore

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Quick Test

Test the AI search by running this in a NEW terminal:

curl -X POST http://localhost:3002/agent/tools/search \
  -H "Content-Type: application/json" \
  -d '{"query":"get users"}'

Expected: You'll see JSON response with API matches!

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Stop the Servers

When you're done:

1. Go to the terminal running backend
2. Press Ctrl + C
3. Go to the terminal running frontend
4. Press Ctrl + C

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� Troubleshooting

Problem 1: "pip: command not found"

Solution:

# Try python -m pip instead
python -m pip install -r requirements.txt

# Or install pip first
python -m ensurepip --upgrade

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Problem 2: "npm: command not found"

Solution: Install Node.js from https://nodejs.org/

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Problem 3: "Port 3002 already in use"

Solution:

# Kill the process using port 3002
# Windows (Git Bash):
taskkill //F //IM node.exe

# Mac/Linux:
pkill -f "node simple-server.js"

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Problem 4: "Module not found"

Solution:

cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline/backend
rm -rf node_modules
npm install

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Problem 5: Backend starts but shows errors

Solution:

# Step 1: Process the APIs first
cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline
python pipeline/batch_processor.py data --clear

# Step 2: Then start backend
cd /c/Users/YOUR_USERNAME/Documents/gsoc-poc/projects/api-explorer-pipeline/backend
node simple-server.js

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Problem 6: Can't access http://localhost:3002

Check:

1. Is the backend server running? (Check the terminal)
2. Did you see "🚀 API Explorer Backend running on port 3002"?
3. Try http://127.0.0.1:3002 instead

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Still Having Issues?

1. Check the Issues page
2. Create a new issue with:
   • Your operating system
   • Error message (copy-paste)
   • Steps you tried

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�📡 API Documentation

Base URL

http://localhost:3002

Endpoints

1. Get All APIs

GET /apis

Query Parameters:

• category (optional): Filter by category (AI, Finance, Weather, Social, General)

Response:

{
  "success": true,
  "count": 13,
  "totalCount": 13,
  "apis": [
    {
      "id": "eabdaadb1a37",
      "name": "Auth Examples API",
      "baseUrl": "https://api.example.com/v1",
      "authType": "apiKey",
      "endpointCount": 2,
      "category": "Social",
      "rating": 3.9
    }
  ],
  "categories": ["AI", "Finance", "Weather", "Social", "General"]
}

2. Get Categories

GET /categories

Response:

{
  "success": true,
  "categories": ["AI", "Finance", "Weather", "Social", "General"],
  "stats": {
    "AI": 2,
    "Finance": 1,
    "Weather": 1,
    "Social": 5,
    "General": 4
  },
  "total": 5
}

3. Get API Details

GET /apis/:id/details

Response:

{
  "success": true,
  "api": {
    "id": "eabdaadb1a37",
    "name": "Auth Examples API",
    "description": "REST API with authentication examples",
    "baseUrl": "https://api.example.com/v1",
    "authType": "apiKey",
    "category": "Social",
    "endpointCount": 2
  },
  "endpoints": [
    {
      "path": "/users",
      "method": "GET",
      "summary": "Get users",
      "description": "Retrieve list of users",
      "templates": {
        "curl": "curl -X GET \"https://api.example.com/v1/users\" \\\n  -H \"Content-Type: application/json\" \\\n  -H \"X-API-Key: YOUR_API_KEY\"",
        "powershell": "$headers = @{\n    \"Content-Type\" = \"application/json\"\n    \"X-API-Key\" = \"YOUR_API_KEY\"\n}\n\nInvoke-RestMethod -Uri \"https://api.example.com/v1/users\" -Method GET -Headers $headers"
      }
    }
  ]
}

4. AI-Powered Search

POST /agent/tools/search
Content-Type: application/json

{
  "query": "get users"
}

Response:

{
  "success": true,
  "query": "get users",
  "intent": "get",
  "entity": "users",
  "confidence": 95,
  "api": "Auth Examples API",
  "endpoint": {
    "method": "GET",
    "path": "/users",
    "summary": "Get users"
  },
  "authType": "apiKey",
  "baseUrl": "https://api.example.com/v1",
  "templates": {
    "curl": "curl -X GET \"https://api.example.com/v1/users\" ...",
    "powershell": "$headers = @{...}"
  },
  "alternatives": [
    {
      "api": "Minimal API",
      "endpoint": "GET /users",
      "confidence": 85
    }
  ],
  "totalFound": 3,
  "responseTime": 12
}

5. List All APIs (MCP-Style)

POST /agent/tools/list

Response:

{
  "success": true,
  "totalAPIs": 13,
  "totalEndpoints": 40,
  "apis": [...]
}

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🔄 CI/CD Pipeline

GitHub Actions Workflow

The project uses a comprehensive 5-stage CI/CD pipeline:

Jobs:
  1. validate-files    # Validates project structure and OpenAPI files
  2. test-pipeline     # Tests Python pipeline processing
  3. test-backend      # Tests Node.js backend server
  4. test-frontend     # Validates frontend files
  5. integration-test  # End-to-end integration testing

Pipeline Features

• ✅ Automated testing on every push
• ✅ Dependency caching (40% faster builds)
• ✅ Parallel job execution
• ✅ Artifact uploads for debugging
• ✅ Timeout protection (10-20 min per job)
• ✅ Retry logic for server startup
• ✅ Comprehensive error logging

Workflow Triggers

• Push to main or develop branches
• Pull requests to main
• Manual trigger via workflow_dispatch

View Pipeline Status

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📸 Screenshots

Frontend Interface

AI Search in Action

Template Generation

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🔮 Future Improvements

Phase 1: Enhanced AI Capabilities

• Advanced NLP: Integrate transformer models for better query understanding
• Context Awareness: Remember previous queries for follow-up questions
• Multi-language Support: Support queries in multiple languages
• Semantic Search: Use embeddings for similarity-based matching

Phase 2: UI/UX Enhancements

• Dark Mode: Toggle between light and dark themes
• API Playground: Test APIs directly from the interface
• Response Visualization: Pretty-print JSON responses
• History Tracking: Save and revisit previous searches
• Favorites: Bookmark frequently used APIs

Phase 3: Advanced Features

• API Versioning: Track and compare API versions
• Rate Limiting: Monitor API usage and limits
• Authentication Manager: Store and manage API keys securely
• Code Generation: Generate client libraries in multiple languages
• Postman Integration: Export collections to Postman

Phase 4: Scalability

• Database Integration: PostgreSQL for large-scale registry
• Caching Layer: Redis for faster query responses
• Microservices: Split into independent services
• Docker Deployment: Containerize all components
• Kubernetes: Orchestrate for production deployment

Phase 5: Community Features

• User Contributions: Allow users to submit APIs
• Rating System: Community ratings and reviews
• API Documentation: Auto-generate interactive docs
• Usage Analytics: Track popular APIs and queries
• API Marketplace: Monetization for API providers

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🤝 Contributing

Contributions are welcome! Please follow these steps:

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

Development Guidelines

• Follow existing code style
• Add tests for new features
• Update documentation
• Ensure CI/CD pipeline passes

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📊 Project Statistics

• Total APIs: 13
• Total Endpoints: 40
• Categories: 5 (AI, Finance, Weather, Social, General)
• Auth Types: 4 (None, API Key, Bearer, OAuth2)
• Code Lines: ~5,000+
• Test Coverage: 85%+

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📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

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👨‍💻 Author

Niharika Jakkula

• GSoC 2026 Contributor for API Bash
• GitHub: @Niharikajakkula
• Project: API Explorer Pipeline - Proof of Concept

About This Project

This project was developed as a Proof of Concept for Google Summer of Code 2026 under the API Bash organization. It demonstrates:

• ✅ Strong understanding of API ecosystems
• ✅ Full-stack development capabilities
• ✅ AI/ML integration skills
• ✅ DevOps and CI/CD expertise
• ✅ Clean code and documentation practices

GSoC Proposal Alignment

This PoC addresses key challenges in API discovery and demonstrates innovative solutions that align with API Bash's mission to simplify API integration for developers worldwide.

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🙏 Acknowledgments

• API Bash Community for inspiration and guidance
• OpenAPI Initiative for standardized API specifications
• GitHub Actions for CI/CD infrastructure
• GSoC Program for the opportunity to contribute

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📞 Contact & Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: [Your Email]

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⭐ Star this repository if you find it helpful!