Observability measures what your enterprise delivers to the model: latency per tool, continuous profile updates, and anomalies detected before the incident.
P50, P95, P99 per tool. Identify bottlenecks before the agent stalls.
Hit rate, miss rate, relevance drift. Detect embedding or ontology degradation.
Time since last update per entity. Configurable alerts.
Query volume outside pattern, rising denied rate, usage drift. Before the incident.
Strattum captures latency, payload, retrieval, and result, with no additional code.
Platform ships with default dashboards. Build your own in seconds.
Configure thresholds or use automatic anomaly detection. Slack, PagerDuty, email.
End-to-end trace per MCP tool call: auth, retrieval, execution, response.
Hit rate, recall, precision, and relevance score per query and per source.
SLA per entity type. Alert when customer profile has not been updated in N hours.
Statistical baselines per tool and per team. Automatic deviation detection.
Denied queries, permission violations, and policy changes tracked in the same dashboard.
Splunk, Datadog, Grafana, CloudWatch. Standard format, no custom integration.
Full trace of the call: which tool was called, which entity was retrieved, what the retrieval returned, and where the latency was. Root cause in minutes.
Relevance drift detected automatically after a schema change. Team reverts the change before users notice.
Complete log of who asked what, which tool was called, what data was returned, and which permissions were applied. Ready for regulatory review.
Entity freshness, entity resolution latency, and graph query performance monitored in real time.
Explore Memory Graph →
Retrieval metrics per source, per fragment, and per query. Relevance drift detected before production impact.
Explore Knowledge →
Permission violations and policy changes tracked in the same observability dashboard.
Explore Governance →Schedule a 30-minute demo. We show Strattum running with data similar to yours, in the architecture your enterprise can receive.
