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MaintainX API Rate Limiter

jeremylongshorebyjeremylongshore
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2.0k
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API Development

Manages MaintainX API throughput using exponential backoff, cursor-based pagination, and request queuing to prevent rate limit errors.

The MaintainX Rate Limits skill provides developers with a robust framework for handling API constraints when integrating with MaintainX. It implements sophisticated patterns like exponential backoff with jitter, cursor-based pagination for large datasets, and concurrency-controlled batching. This ensures that your applications remain stable and efficient, automatically handling 429 'Too Many Requests' errors and optimizing throughput based on real-time response headers, making it ideal for large-scale data migrations or high-frequency maintenance synchronization tasks.

Key Features

01Real-time rate limit monitoring and usage reporting
02Cursor-based pagination for seamless data retrieval
031,965 GitHub stars
04Concurrency-controlled batch operations using p-queue
05Exponential backoff with jitter and Retry-After support
06Rate-limited client wrapper with built-in throttling

Use Cases

01Optimizing high-frequency work order updates in production environments
02Building reliable integrations for industrial maintenance workflows
03Migrating large datasets into or out of MaintainX without crashing