PRIVATE ENGINEERING EVIDENCE INTELLIGENCE

Find what changed.
Prove why
it matters.

TraceLens turns logs, API traffic, configs, Kubernetes evidence and packet captures into a cited engineering investigation — without giving AI your raw production data.

Analyze evidence →Compare working vs broken

Explore a synthetic investigation ↗

Deterministic findings. Explicit uncertainty. AI optional.
THE FIRST MEASURED DIFFERENCESynthetic example

Same request.
Different outcome.

WORKING

GET /payments

201 · bearer
BROKEN

GET /payments

401 · API key
Authentication behavior changed.

Transport timings remain comparable. Validate the deployed auth policy and link this request to the affected incident.

Cited HAR entries2 sources
Credentials sent to AINo
DROP WHAT YOU HAVE
OpenAPIHARLogsKubernetesJSONConfigPCAPSupport bundles
ONE INVESTIGATION. CONNECTED EVIDENCE.

Move from scattered files
to a defensible explanation.

01 / OBSERVE

Bring the evidence.

Upload files together. Label known-good and failing observations. A topology is optional.

02 / COMPARE

Find the divergence.

Compare measured behavior, API intent and configuration changes. Keep coverage gaps visible.

03 / EXPLAIN

Follow every claim.

Inspect source citations, counter-evidence and validation steps. Export a versioned engineering report.

PRIVATE EVIDENCE ANALYSIS

Useful semantics.
Private source data.

Deterministic code processes originals. Optional AI receives bounded metadata or sanitized semantics, with credential values and payloads excluded.

Understand the AI boundary →
PASSIVE API INSPECTOR

Intent meets
observed behavior.

Compare OpenAPI and Postman definitions against HAR evidence. Review inventory, authentication and schema differences without probing your services.

Start API Inspector →
ENGINEERING PREVIEW

Evidence support, not certainty theater.

Incomplete evidence stays unknown. Passive observations do not prove exploitability or causality. No active billing is configured.

Start an investigation →