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APIレート制限計算機

APIレート制限を計算し複数エンドポイントの使用状況を分析します。人気APIのプリセットですぐに確認できます。

Rate Limit Settings

API Preset

Requests

Time

Unit

Current Hourly Usage (optional)

Rate Limit Analysis

RPS

1.39

per second

RPM

83.33

per minute

RPH

5.00K

per hour

RPD

120.00K

per day

Monthly Max Requests

3.60M requests

Safe Operations (80%)

4.00K/Hour

Endpoint Usage Calculator

Calculate total usage when using multiple API endpoints.

Endpoint Name

Requests/Operation

Operations/Hour

= 100/h

✅

Within Rate Limit

Total Usage: 100/Hour(2%)

API Call 1100/h (100%)

Daily Total Requests2.40K requests

Popular API Rate Limits

API	Limit	RPS	RPH
GitHub API	5000/1h	1.39	5.00K
Twitter/X API	300/15m	0.33	1.20K
OpenAI API	60/1m	1	3.60K
Google Maps	50/1s	50	180.00K
Stripe API	100/1s	100	360.00K
Slack API	1/1s	1	3.60K
Discord API	50/1s	50	180.00K
Spotify API	180/30s	6	21.60K
YouTube Data API	10000/1d	0.12	416.67
SendGrid API	100/1s	100	360.00K

📖 使い方

Select an API preset or enter custom values
Enter current usage to see available headroom
Add multiple endpoints to calculate total usage
Keep usage below 80% for safe operation

✨ 主な機能

✓Popular API rate limit presets
✓Calculate RPS/RPM/RPH/RPD/monthly requests
✓Analyze headroom against current usage
✓Multi-endpoint total usage calculation
✓Visual rate limit status indicator

📐 計算式

RPS = Requests ÷ Time(seconds), RPH = RPS × 3600

💡 計算原理

•Rate limiting protects API servers and ensures fair usage.
•RPS (Requests Per Second) is the number of requests processed per second.
•Most APIs use hourly (RPH) or per-minute (RPM) limits.
•Approaching the limit triggers 429 Too Many Requests errors.
•Keep usage below 80% of the rate limit for safe operation.
•When using multiple endpoints, sum all requests to check against the limit.

❓ よくある質問

Q. Why are rate limits needed?

A. To prevent server overload, ensure fair resource distribution, defend against DDoS attacks, and manage costs.

Q. What happens when I exceed the rate limit?

A. You receive HTTP 429 error. Wait for the time specified in the Retry-After header before retrying.

Q. Can I increase my rate limit?

A. Options include upgrading to a paid plan, requesting a limit increase, or using multiple API keys.

Q. How do I handle rate limits in code?

A. Implement exponential backoff, request queuing, or token bucket algorithms to respect limits.

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