Log events as structured session graphs— the language of AI agents

Efficiency

Reduce observability costs by up to 90%

Comprehensive

Preserve 100% of user sessions (no sampling!) including all API message bodies

Speed

Root-cause production issues instantly

The Problem

Text-Based Logging

Legacy tools treat your system data as unstructured text. This creates isolated snippets of errors (like Error 500) that take hours to root cause.

Isolated log lines with no connection to the original request or user session.

Manually correlating errors across services to find root causes.

[svc-a] 10:00:01.234 INFO req_id=? user=?

[svc-b] 10:00:01.456 DEBUG db_query took 234ms

[svc-c] 10:00:01.789 WARN connection pool low

[svc-a] 10:00:02.001 DEBUG processing...

[svc-b] 10:00:02.345 ERROR NullPointerException

[svc-d] 10:00:02.567 INFO cache miss key=xyz

[svc-a] 10:00:02.890 DEBUG response sent

[svc-c] 10:00:03.012 INFO cleanup started

The Solution

Softprobe introduces Context-Based Logging. We capture the entire execution context as an AI-ready structured data object.

We link the Input (Request) directly to the Output (Response) and every database query or API call in between.

See exact inputs, database state, and which line broke.

The Technology

Visualize context using our proprietary Session Graph technology.

Organize data as graphs instead of indexed text, reducing costs.

Structured format allows AI Agents to pinpoint root causes automatically.