Panda Protocol Subgraph

Panda Protocol Subgraph

Overview

The Panda Protocol subgraph indexes and provides structured access to protocol data through a GraphQL API. This documentation will help you integrate with our data layer effectively.

Understanding the Subgraph

The subgraph serves as the backbone for accessing Panda Protocol's on-chain data. It processes and indexes:

• Pool deployments and configurations

• Trading activities and price movements

• Liquidity positions and migrations

• Token holder balances and distributions

When to Use the Subgraph

Perfect For

• Building trading interfaces requiring real-time pool data

• Creating analytics dashboards with historical data

• Tracking pool performance and market metrics

• Monitoring token holder distributions

Accessing the Subgraph

https://api.goldsky.com/api/public/project_clpx84oel0al201r78jsl0r3i/subgraphs/kodiak-panda/latest/gn

Quick Example

# Fetch active pools with their latest metrics
{
  pandaPools(
    where: { 
      graduated: false,
      volumeUSD_gt: "0"
    }
    orderBy: volumeUSD
    orderDirection: desc
  ) {
    id
    price
    volumeUSD
    swapsCount
  }
}

Data Structure

The subgraph maintains several core entities:

• PandaPool: Pool state and metrics

• Token: Token details and statistics

• Swap: Trading activity records

• Holder: Token holder information

For detailed entity definitions, see our Entities documentation.

Development Guides

1. Entity Relationships

   • Understanding data models

   • Entity relationships

   • Field references

2. Query Examples

   • Common queries

   • Filtering and sorting

   • Pagination patterns

3. Advanced Usage

   • Performance optimization

   • Error handling

   • Edge cases

Next Steps

→ Continue to Entity Documentation