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WebSite - API Info

📘 Overview

The API Info page allows you to perform in-depth troubleshooting when a domain shows a high error rate.
This view focuses on analyzing each API or static resource under a specific domain, including failure frequency, response time, and payload size.
It enables developers to quickly identify the root cause of abnormal behavior.

Supports:

  • Error type breakdown (by HTTP code)
  • Exception logging (e.g. 5xx errors)

Helping teams detect and resolve API issues efficiently.

API Info


🧭 Feature Breakdown

1. Filter Section

  • Country and Domain dropdowns:
    • Select a specific country and domain to narrow the analysis scope.
    • Helpful for identifying whether errors are concentrated in a particular region or domain.

2. Status Overview (Top Right Info Panel)

  • Total Success Request: Number of successful requests
  • Total Fail Request: Number of failed requests
  • AVG Response Time: Average response time (in ms)
  • AVG Failure Rate: Average failure rate (as a percentage)

3. Project Failure Rate Trend

  • Shows failure rate fluctuations over time for the selected domain.
  • Click on any point in the graph to view corresponding API-level data in the table below.
  • Useful for isolating time periods with abnormal error spikes.

📊 API Usage Data Table

After selecting a time point, the table will list all API requests during that period with the following columns:

Column NameDescription
API URLThe endpoint or static resource being requested
Fail RateFailure rate (Fail / (Fail + Success))
SuccessNumber of successful requests
FailNumber of failed requests
Error CodeHTTP error status code (e.g., 5xx)
Error MessageThe corresponding error message (e.g., Network Error)
ms TimeAverage response time in milliseconds
Size (Byte)Average payload size in bytes

🔍 Usage Scenarios

  1. Issue Detection

    • If a domain shows a consistently high error rate, use this page to narrow down by country/domain to see if the issue is regional.
  2. Time-Specific Analysis

    • Use the trend chart to select spikes in error rate and identify problematic APIs during that time.
  3. Error Diagnosis

    • Use Error Code and Error Message to quickly understand the issue (e.g., timeout, 404, or network issues).
    • You can also click on the API URL to open a test dialog and run diagnostics from the selected host.
  1. Performance Evaluation
    • If response times are high or file sizes are large, it may lead to poor user experience.
    • This page helps determine whether performance bottlenecks stem from inefficient API design or heavy static assets.

💡 When to Use

  • Debugging periods with high API failure rates
  • Evaluating the impact of large static resources on performance
  • Comparing performance across multiple APIs
  • Troubleshooting region-specific API availability issues (e.g., slower responses from certain countries)