Measure an endpoint's response time over several samples: min, max, average, median and p95.
Performance Testing Tools
Performance problems are cheapest to find early. These tools give you quick, repeatable measurements — response time distribution, payload size and compression, requests per second — for a single endpoint or a side-by-side comparison of two.
For full load tests you still need a dedicated runner; the data generators here produce the parameter files and datasets that JMeter, k6, Gatling and similar tools consume, so a realistic test is minutes rather than hours away.
Tools in this category
Analyze response size: raw vs compressed bytes, headers size, JSON structure weight and largest fields.
Run a small, safe benchmark against a public endpoint (bounded requests and concurrency) and get throughput and latency percentiles.
Compare response times and sizes of two endpoints (e.g. v1 vs v2, staging vs production) side by side.
Generate large parameter datasets (users, tokens, ids, payloads) for k6, JMeter, Gatling and Locust load tests.
Generate performance test inputs with realistic distributions: think times, request mixes, payload sizes and ramp profiles.