Rate Limit Threshold Calculator
Work out rate limit threshold instantly with clear inputs, formula shown and shareable results.
About Rate Limit Threshold Calculator
A rate limit should sit above the p99 of genuine per-user behaviour so real users never hit it, typically at two to five times that figure. The check that is usually skipped is aggregate: if every active user ran at the cap simultaneously, the backend must still survive. When it cannot, the per-user limit is decoration and a global concurrency limit is also required.
Formula
Rate limit sizing
per-user limit = p99 per minute x safety multiplier; worst-case backend load = users x limit / 60
Worked example
With the default values below, Rate Limit Threshold Calculator returns Per-user rate limit of 120. Change any input above and every figure here is recalculated in your browser.
Inputs used
- p99 legitimate requests per user per minuteminimum 0.1
- 40
- Safety multiplier above p99accepts 1–20 x
- 3 x
- Concurrent active usersminimum 1
- 12,000
- Backend capacityminimum 0.1 req/s
- 5,000 req/s
Results
- Per-user rate limit
- 120 req/min
- Backend load if every user hits the cap
- 24,000 req/s
- Backend utilisation in that worst case
- 480.0%
- Assessment
- Per-user limit is too generous - all users at the limit would overwhelm the backend
Step by step
- 1Values used
- 2Rate limit sizing
- 3Per-user rate limit= 120 req/min
- 4Backend load if every user hits the cap= 24,000 req/s
- 5Backend utilisation in that worst case= 480.0
- 6Assessment= Per-user limit is too generous - all users at the limit would overwhelm the backend
Assumptions and limits
- The result is derived only from the 4 inputs listed above. Anything not among them is not part of the calculation.
- In particular, this calculator does not take inflation, tax, fees or charges or compounding frequency into account.
- Figures are rounded for display to 1 decimal place, so totals built from several rounded parts can differ slightly from the unrounded arithmetic.
How these calculators are built and tested is described on the Methodology page. If a figure looks wrong, please report it.
Frequently Asked Questions
Should limits be per user or per IP?
Both. Per-user limits stop credential-based abuse; per-IP limits catch unauthenticated traffic, though NAT and carrier-grade NAT mean per-IP limits must be more generous.
Which algorithm should be used?
A token bucket allows short bursts while capping the sustained rate, which matches real client behaviour far better than a fixed window that resets abruptly.
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