Documentation
Comprehensive documentation for bayarea.ai platform, APIs, and data integration.
Welcome to the bayarea.ai documentation. Find guides, references, and tutorials for using our platform and integrating with our data.
Getting Started
For Researchers
For Developers
For AI Systems
Platform Overview
Understanding the GBA Region
The Greater Bay Area (GBA) comprises 11 cities in Southern China:
| City | Special Focus |
|---|---|
| Hong Kong | Finance, Professional Services |
| Macau | Tourism, Gaming |
| Guangzhou | Commerce, Administration |
| Shenzhen | Technology, Innovation |
| Zhuhai | Advanced Manufacturing |
| Foshan | Manufacturing |
| Huizhou | Electronics |
| Dongguan | Manufacturing, Tech |
| Zhongshan | Lighting, Appliances |
| Jiangmen | Manufacturing |
| Zhaoqing | Emerging Development |
Navigating Our Content
Our content is organized into main sections:
- Cities - Individual city profiles and comparisons
- Business - Economic and commercial information
- Innovation - Technology and R&D developments
- Infrastructure - Transportation and connectivity
Data Format Specifications
JSON Schema
All our data follows consistent JSON schemas. View our AI Data Schema for complete specifications.
Content Structure
{
"city": {
"name": "Shenzhen",
"type": "Special Economic Zone",
"population": 17500000,
"gdp": 320000000000,
"industries": ["Technology", "Finance", "Manufacturing"],
"description": "China's Silicon Valley..."
}
}
Integration Examples
Python Example
import requests
API_KEY = "your_api_key"
BASE_URL = "https://bayarea.ai/api"
headers = {"Authorization": f"Bearer {API_KEY}"}
# Get city data
response = requests.get(
f"{BASE_URL}/cities/shenzhen/",
headers=headers
)
city_data = response.json()
print(city_data)
JavaScript Example
const API_KEY = "your_api_key";
const BASE_URL = "https://bayarea.ai/api";
async function getCityData(cityName) {
const response = await fetch(`${BASE_URL}/cities/${cityName}/`, {
headers: {
"Authorization": `Bearer ${API_KEY}`
}
});
return await response.json();
}
getCityData("shenzhen").then(console.log);
Structured Data Access
For AI Agents
Our platform is optimized for AI agent access:
- Consistent URLs - Predictable endpoint patterns
- Rich Metadata - Comprehensive descriptions and relationships
- Machine-Readable - Structured formats for automated processing
- Semantic Links - Clear connections between entities
Content Accessibility
- All content available in HTML and JSON
- Sitemap for discovery
- Structured data markup (Schema.org)
- RSS feeds for updates
Schema Reference
City Schema
| Field | Type | Description |
|---|---|---|
| name | string | City name |
| type | string | Administrative type |
| population | number | Population count |
| gdp | number | GDP in USD |
| industries | array | Key industries |
| description | string | City description |
Business Schema
| Field | Type | Description |
|---|---|---|
| name | string | Business name |
| location | string | City/area |
| sector | string | Industry sector |
| size | string | Company size |
| description | string | Business description |
API Reference
See our API Access page for:
- Available endpoints
- Authentication methods
- Rate limits
- Response formats
Support
Need Help?
- General Questions: Contact Us
- API Support: API Access
- Data Requests: Data Sets
Updates
Stay informed about platform updates and new data releases:
- Check our AI Integration page for latest features
- Review the About page for platform information
Documentation is continuously updated. Last revised: March 2026