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Strattum Observability

Monitor the context
going to your agents.

Observability is not about the LLM. It is about what your enterprise is delivering to it. Latency per tool, continuous profile updates, anomalies detected before the incident.

Strattum
Observability
live · tracing on
1h24h7d
P95
Latency by tool
360ms p95
↑ +28%
Health
Hit rate · retrieval
94%
hit rate
miss · 6%
drift watch
Freshness
Freshness by entity
Customer
4 min ago
Contract
22 min ago
Ticket
1 min ago
Skill
1 h ago
Drift
Anomalies detected
3flagsalert
Memory Graph
monitored
Knowledge
monitored
Skills
monitored
MCP Server
monitored

Agent answered incorrectly?
Strattum knows why.

Latency per MCP tool

P50, P95, P99 per tool. Identify bottlenecks before the agent stalls.

Retrieval health

Hit rate, miss rate, relevance drift. Detect embedding or ontology degradation.

Profile freshness

Time since last update per entity. Configurable alerts.

Anomaly detection

Query volume outside pattern, rising denied rate, usage drift. Before the incident.

From metric
to corrective action.

1

Every query is instrumented

Strattum captures latency, payload, retrieval, result — without additional code.

  • Automatic tracing
  • No manual instrumentation
  • Sampled payload
2

Ready dashboards

Platform ships with default dashboards. Build your own in seconds.

  • Out-of-box dashboards
  • Custom dashboards
  • Export to Grafana
3

Intelligent alerts

Configure thresholds or use automatic anomaly detection. Slack, PagerDuty, email.

  • Threshold-based
  • Anomaly detection
  • Flexible routing

Full-stack context observability.

Tool-level tracing

End-to-end trace per MCP tool call: auth, retrieval, execution, response.

Knowledge retrieval metrics

Hit rate, recall, precision, and relevance score per query and per source.

Entity freshness

SLA per entity type. Alert when customer profile has not been updated in N hours.

Anomaly detection

Statistical baselines per tool and per team. Automatic deviation detection.

Governance integration

Denied queries, permission violations, and policy changes tracked in the same dashboard.

Export to your SIEM

Splunk, Datadog, Grafana, CloudWatch. Standard format, no custom integration.

From black box
to auditable operation.

Incident Response

Why did the agent answer incorrectly?

Full trace of the call: which tool was called, which entity was retrieved, what the retrieval returned, where the latency was. Root cause in minutes, not hours.

"Agent answered with a 3-day-old customer profile. Memory Worker had not processed the Salesforce update due to rate limit. Alert configured."
Performance

Knowledge retrieval degraded after ontology change

Relevance drift detected automatically after a schema change. Team reverts the change before users notice.

"Recall dropped 18% after ontology v4 deployment. Rollback triggered. Evals confirm root cause in the new entity resolution rule."
Compliance

Audit trail for every agent query

Complete log of who asked what, which tool was called, what data was returned, and which permissions were applied. Ready for regulatory review.

"BCB audit requires evidence that agent did not access salary data. 100% of calls to sensitive tools deny-logged with complete context."

Observability is the ops layer
of the entire platform.

Memory Graph

Entity freshness, entity resolution latency, and graph query performance monitored in real time.

Explore Memory Graph →

Knowledge

Retrieval metrics per source, per fragment, and per query. Relevance drift detected before production impact.

Explore Knowledge →

Governance

Permission violations and policy changes tracked in the same observability dashboard.

Explore Governance →

See what your agents
are actually getting.

Schedule a 30-minute demo. We show Strattum running with data similar to yours, in the architecture your enterprise can receive.