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