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    API Rate Limiter Designer

    API Rate Limiter Designer

    by Arnstein Larsen

    Rate limiting fails in two directions: too loose and one bad client takes down the database for everyone; too crude and you rate-limit your own legitimate power users into churn

    Updated Jun 2026
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    $8.99

    · or 45 credits

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Select the right algorithm (Token Bucket, Sliding Window) for your traffic.
    • Design fair-use keys and tier-based quota structures for SaaS multi-tenancy.
    • Instant install

    Sample input

    We are launching a SaaS API on Node.js and Redis. We need a rate limiting strategy to protect our DB from bursts while supporting Pro/Free tiers. Skip deep context.

    Sample output

    Recommended: Token Bucket (via Redis/Lua)

    • Bucket Design:
      • Free: 100 req/min, burst 20
      • Pro: 1000 req/min, burst 200
    • Keying: ratelimit:{tier}:{api_key}
    • Headers: X-RateLimit-Limit, X-RateLimit-Remaining, Retry-After
    • Rollout: 7-day shadow-mode logging.

    About This Skill

    Rate limiting fails in two directions: too loose and one bad client takes down the database for everyone; too crude and you rate-limit your own legitimate power users into churn. This skill designs your rate limiting strategy end-to-end: the right algorithm for your use case (token bucket vs. sliding window vs. fixed window and why it matters), the right granularity (per IP, per user, per API key, per endpoint — not all the same), Redis implementation that doesn't add latency on every request, the response format that doesn't enrage developers, and the exemption system for your high-trust clients. It also covers the abuse patterns rate limiting doesn't stop, so you're not surprised when someone routes around it. Give it your API shape, your traffic patterns, and your abuse concerns; it returns a rate limiting design you can implement in a day.

    Use Cases

    • Select the right algorithm (Token Bucket, Sliding Window) for your traffic.
    • Design fair-use keys and tier-based quota structures for SaaS multi-tenancy.
    • Standardize 429 Error responses and X-RateLimit headers.
    • Plan a low-risk 'log-only' deployment to calibrate limits without breaking apps.

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    Compatible with SKILL.md-compatible agents including Claude Code and Cursor.

    Frequently Asked Questions

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