API Latency Summary
Calculate the mean, p95, and p99 of a list of response times.
Category: Dev Tools
When to use?
Use it to quickly summarize the response-time distribution from logs or a simple load test.
How to use
- Enter response times in ms, one per line.
- It sorts the numbers.
- Check the mean, min, p95, p99, and max.
Input Explanation
Enter numbers separated by spaces, line breaks, or commas, like 120, 98, 143.
Calculation Basis
It sorts the numbers ascending and computes the mean and percentile positions for the key metrics.
Usage Examples
- Summarize performance notes - Summarize results of a simple API test.
- Quick pre-deploy check - Check inputs and output to reduce errors before dev/ops work.
- Aid docs/reviews - Copy the result into dev docs, issues, or review comments.
Examples
- 100, 200, 300 → mean 200ms
- 20 response-time samples → mean plus p95/p99 metrics at once
Cautions
- Generated output is for reference; test carefully before production use.
- Input values are shown on a millisecond (ms) basis.
FAQ
What is the unit?
Input values are shown in milliseconds (ms).
How do I enter response times?
Paste as many measured times as you like, separated by commas or line breaks.
Does it show min and max?
Besides mean and p95/p99, it also tallies the fastest and slowest values.
What are p95 and p99?
The values at the 95% and 99% points when sorted fastest-first — they reveal slow responses the mean alone misses.
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