API Log Analyzer
Analyze API logs for ERROR/WARN/INFO counts, duplicate exceptions, correlation IDs, and timeline buckets.
What is API Log Analyzer?
Group a redacted log excerpt by explicit severity, common request identifiers, exception text and minute buckets. These groups are useful for triage but do not replace a log pipeline or distributed trace.
How to use API Log Analyzer?
Step 1
Paste a focused log window around the failing request.
Step 2
Review level counts, duplicate error groups, request IDs, and timeline buckets.
Step 3
Copy the summary and include only redacted lines in tickets or chat.
Example input / output
Three lines carrying requestId=demo-42 can connect the request start, a latency warning and an exception. A repeated exception message across two different request IDs may indicate a recurring failure.
Example input
2026-05-17T12:00:00Z INFO requestId=demo-42 POST /orders
2026-05-17T12:00:01Z WARN requestId=demo-42 latency=900ms
2026-05-17T12:00:02Z ERROR requestId=demo-42 java.lang.IllegalStateException: Duplicate key
at com.acme.OrderService.create(OrderService.java:42)Check the result
- Logs without timestamps or correlation IDs are harder to group accurately.
- Multiline stacktraces copied from terminals may need the Java Stacktrace Analyzer for deeper frame extraction.
Practical developer examples
Preserve missing metadata
Unrecognized severity becomes UNKNOWN. A stacktrace continuation line without a level must not silently count as an INFO event.
Compare timestamps carefully
The text's timezone is retained in minute buckets. Normalize device, gateway and server clocks before using order alone to infer causality.
Common developer use cases
Message grouping cannot determine incident frequency outside the pasted excerpt. Multiline events, alternate key names and free text may need manual inspection.
Common issues
FAQ
Does the tool ingest live logs?
No. It analyzes only the text you paste.
Are equal error messages necessarily the same failure?
No. Compare identifiers, service, deployment and input conditions before grouping them operationally.