Can this skill prevent duplicate data in my Clay workspace?

Yes, it includes instructions for implementing idempotency keys, which allow you to safely retry requests without the risk of creating duplicate entries or actions.

What does the Clay Rate Limits skill help with?

It provides specialized logic for Claude Code to handle API throttling, retry logic, and request headers specifically for the Clay data enrichment platform.

How does this skill handle 429 Too Many Requests errors?

It implements exponential backoff with jitter, which calculates a delay that increases with each retry to prevent overwhelming the API while ensuring eventual success.

Does it support different Clay account tiers?

Yes, the skill includes preset configurations for Free, Pro, and Enterprise tiers to help align your application's request frequency with your specific plan limits.

Clay API Rate Limit Manager

Name: Clay API Rate Limit Manager
Author: jeremylongshore

byjeremylongshore

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1,031

API Development

Implements robust rate limiting, exponential backoff, and idempotency patterns for reliable Clay API integrations.

About

This skill provides standardized patterns for handling Clay's API constraints, ensuring your applications remain stable and compliant with tier-specific limits. It equips Claude with the logic to implement exponential backoff with jitter, monitor header-based rate limit data, and use idempotency keys to prevent duplicate requests during retries. This is essential for developers building high-volume data enrichment workflows or integrating Clay into production-grade systems where reliability and throughput optimization are critical.

Key Features

Tier-specific rate limit configuration for Free, Pro, and Enterprise accounts
Automatic exponential backoff with jitter for 429 error recovery
Real-time rate limit header monitoring and predictive throttling
1,031 GitHub stars
Queue-based request management for optimized throughput control
Deterministic idempotency key generation for safe request retrying

Use Cases

Scaling outbound sales workflows without hitting API throughput caps
Implementing resilient data enrichment pipelines that handle throttling gracefully
Preventing duplicate record creation via idempotent API call patterns

About

Key Features

Tier-specific rate limit configuration for Free, Pro, and Enterprise accounts
Automatic exponential backoff with jitter for 429 error recovery
Real-time rate limit header monitoring and predictive throttling
1,031 GitHub stars
Queue-based request management for optimized throughput control
Deterministic idempotency key generation for safe request retrying

Use Cases

Scaling outbound sales workflows without hitting API throughput caps
Implementing resilient data enrichment pipelines that handle throttling gracefully
Preventing duplicate record creation via idempotent API call patterns