Concurrency

Our API allows up to 5 concurrent requests at a time. Any additional requests beyond this limit will automatically be queued and processed as capacity becomes available.

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How It Works

• Maximum of 5 requests can run in parallel
• Additional requests are automatically queued
• Requests are processed in order as slots become available
• No action required on your end to handle queuing

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Best Practices

1. Request Management

   • Design your application to handle queued requests gracefully
   • Monitor request status to track progress
   • Consider implementing timeouts for time-sensitive operations

2. Batch Processing

   • Use bulk endpoints when possible to maximize efficiency
   • Keep batch sizes reasonable (100-1000 items recommended)
   • Monitor job status for async operations

3. Error Handling

   • Implement proper error handling for concurrent and queued requests
   • Watch for timeout errors on long-running queued requests
   • Have fallback logic for handling failed requests

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Tips for Optimal Performance

• Space out non-urgent requests to minimize queuing
• Use async endpoints for long-running operations
• Monitor your API usage patterns
• Consider request priority when designing your implementation