Evergreen Tools
|
← Back to AI Tools

AI API Response Time Analyzer

Intelligently analyze API performance, test response time, throughput, concurrency, generate performance reports and optimization suggestions

Analyzer Interface

Interactive analyzer will be available soon

Features

  • ✓ Test API response time, supporting P50, P90, P95, P99 percentile statistics
  • ✓ Concurrent stress testing, simulate multi-user access, detect API capacity
  • ✓ Analyze API throughput (RPS/TPS), evaluate system processing capacity
  • ✓ Generate detailed performance test reports with charts and data analysis
  • ✓ Provide performance optimization suggestions, identify slow queries and bottlenecks

How to Use

  1. Enter API endpoint URL and request method (GET/POST etc.)
  2. Configure request parameters, Headers, Body (optional)
  3. Set test parameters (concurrency, duration, request count)
  4. Start testing and view performance analysis report

FAQ

What is API response time?

API response time is the time from sending request to receiving complete response. Usually expressed in percentiles like P50 (median), P95 (95% requests complete within this time), better reflects real performance than average.

How to perform concurrency testing?

Set concurrent user count (e.g., 100 concurrent), the tool sends requests simultaneously, testing API performance under high concurrency. Can gradually increase concurrency to find system performance tipping point.

What response time is normal?

General standards: P95 < 200ms is excellent, 200-500ms is good, 500ms-1s is acceptable, >1s needs optimization. Specific standards depend on business scenarios and user expectations.

Does it support POST requests and custom Headers?

Fully supported! Can configure GET, POST, PUT, DELETE and all HTTP methods, custom Headers, request Body, authentication (Bearer Token, API Key etc.).

Can I compare different API performance?

Supports batch testing multiple API endpoints, generates comparison reports, visually showing performance differences between interfaces, helping identify worst-performing APIs for priority optimization.