Prarang API Documentation
This page provides an overview of all APIs available in the Prarang project. Each API serves a distinct purpose, from fetching city content to analyzing trends, comparing knowledge, and planning strategic insights.
1. Content APIs
Content APIs allow you to fetch posts, tags, city analytics, and Upmana outputs. They provide structured data for developers and analysts to explore city-level content.
- Retrieve posts filtered by date, tags, or emotions.
- Fetch all available tags.
- Access city analytics, such as post count and trending tags.
- Obtain city-specific Upmana knowledge outputs.
2. Analytics APIs
Analytics APIs provide detailed insights into city trends and content. They include AI-generated reports, emotion distributions, and trending data.
- View city analytics, including post counts and top tags.
- Analyze emotion distribution across posts.
- Access AI-driven insights for deeper understanding.
3. Upmana APIs
Upmana APIs are based on the concept of knowledge by comparison. These endpoints help understand city characteristics, culture, and historical context.
- Retrieve city-wise Upmana outputs.
- Compare multiple cities based on culture, history, and analytics.
- Support educational and analytical applications.
4. Planner APIs
Planner APIs provide ranking data and planning insights for cities, regions, and countries. They are useful for strategic decisions, urban planning, and resource allocation.
- Access city, region, and country rankings.
- Plan events and strategies based on historical and predictive data.
- Integrate seamlessly with other analytics or AI modules.
All APIs are accessible via secure endpoints. This documentation is intended for developers, analysts, and planners who want to work with structured city data, analytics, and AI-powered insights.