customerio-rate-limits
Implement Customer.io rate limiting and backoff. Use when handling high-volume API calls, implementing retry logic, or optimizing API usage. Trigger with phrases like "customer.io rate limit", "customer.io throttle", "customer.io 429", "customer.io backoff".
- License 许可
- MIT
- 最近更新
- 2026-03-20
- Stars
- ★ 4
- Forks
- 0
01 前言 Front Matter
- name
- customerio-rate-limits
- author
- Jeremy Longshore <jeremy@intentsolutions.io>
- license
- MIT
- version
- 1.0.0
- description
- Implement Customer.io rate limiting and backoff. Use when handling high-volume API calls, implementing retry logic, or optimizing API usage. Trigger with phrases like "customer.io rate limit", "customer.io throttle", "customer.io 429", "customer.io backoff".
- allowed-tools
- Read, Grep, Bash(curl:*)
- compatible-with
- claude-code, codex, openclaw
02 资源文件 2
- 参考文档references/implementation-guide.md5.8 KB
- 参考文档references/implementation.md3.9 KB
03 SKILL.md 正文
Customer.io Rate Limits
Overview
Understand and implement proper rate limiting and backoff strategies for Customer.io API to handle high-volume operations reliably.
Rate Limit Details
Track API Limits
| Endpoint | Limit | Window |
|---|---|---|
| Identify | 100 requests/second | Per workspace |
| Track events | 100 requests/second | Per workspace |
| Batch operations | 100 requests/second | Per workspace |
App API Limits
| Endpoint | Limit | Window |
|---|---|---|
| Transactional email/push | 100/second | Per workspace |
| API queries | 10/second | Per workspace |
Instructions
Step 1: Implement Token Bucket Rate Limiter
Build a rate limiter with configurable tokens per second, automatic refill, and async waiting when tokens are depleted.
Step 2: Add Exponential Backoff
Create retry logic with configurable max retries, base delay, max delay, and jitter factor. Skip retries on client errors (4xx except 429).
Step 3: Create Rate-Limited Client
Wrap the Customer.io client to acquire a rate limit token before each request and apply backoff on failures.
Step 4: Handle 429 Response Headers
Parse X-RateLimit-Remaining, X-RateLimit-Reset, and Retry-After headers to adapt dynamically.
Step 5: Add Queue-Based Rate Limiting
Use p-queue with interval-based rate limiting for cleaner high-volume processing.
For detailed implementation code, load the reference guide:
Read(${CLAUDE_SKILL_DIR}/references/implementation-guide.md)
Error Handling
| Scenario | Action |
|---|---|
| 429 received | Respect Retry-After header |
| Burst traffic | Use queue with concurrency limit |
| Sustained high volume | Implement sliding window |
Resources
Next Steps
After implementing rate limits, proceed to customerio-security-basics for security best practices.
Prerequisites
- Access to the API environment or API
- Required CLI tools installed and authenticated
- Familiarity with API concepts and terminology
Output
- Configuration files or code changes applied to the project
- Validation report confirming correct implementation
- Summary of changes made and their rationale
See API implementation details for output format specifications.
Examples
Basic usage: Apply customerio rate limits to a standard project setup with default configuration options.
Advanced scenario: Customize customerio rate limits for production environments with multiple constraints and team-specific requirements.
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