API Response Time Tracker

Test and monitor API endpoints for performance, uptime, and reliability with our comprehensive tracking tool

API Configuration

Include protocol (http/https) and full path

Request Parameters

Test Configuration

Test Results

Status
Ready
Requests
0/0
Avg Time
-- ms
Success Rate
--%
Fastest Response
-- ms
Slowest Response
-- ms
Median Time
-- ms
95th Percentile
-- ms
# Status Time (ms) Size Start End
Run a test to see detailed results
Run a test to see the API response

📈 API Performance Optimization Tips

Caching Strategies

Implement proper caching headers (Cache-Control, ETag) to reduce server load and improve response times.

🗜️

Response Compression

Enable GZIP or Brotli compression to reduce payload sizes and improve transfer times.

🔍

Query Optimization

Optimize database queries and add proper indexes to reduce backend processing time.

🌐

CDN Usage

Use Content Delivery Networks to serve static assets and cache responses closer to users.

📦

Payload Reduction

Only return necessary data fields and consider pagination for large datasets.

⏱️

Connection Pooling

Reuse database connections to avoid the overhead of establishing new connections.

📋 HTTP Status Code Reference

Code Name Description
200 OK Standard response for successful HTTP requests
201 Created Request has been fulfilled and new resource created
204 No Content Server processed request but isn't returning content
301 Moved Permanently This and future requests should be directed to given URI
304 Not Modified Resource hasn't been modified since last request
400 Bad Request Server cannot process request due to client error
401 Unauthorized Authentication is required and has failed
403 Forbidden Server refuses to fulfill the request
404 Not Found Requested resource could not be found
500 Internal Error Generic server error message
502 Bad Gateway Invalid response from upstream server
503 Service Unavailable Server is currently unavailable
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Note: This tool performs actual API requests to the endpoints you specify. Be cautious when testing production APIs with high request volumes as it may impact your systems.