Dynatrace API
Full-stack observability and APM platform with Davis AI for automated anomaly detection and root cause analysis. The v2 REST API enables agent-driven querying of metrics, traces, logs, events, and problems.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
TLS enforced everywhere. API tokens with fine-grained scopes are a strong security model for agents — each agent can be issued a minimally-privileged token. OAuth 2.0 available for user-facing integrations. Token rotation supported. SOC2 Type II and ISO27001 certified. FedRAMP authorized on GovCloud deployment.
⚡ Reliability
Best When
An agent operates in an enterprise environment already using Dynatrace and needs to query AI-analyzed problems, distributed traces, or full-stack topology for incident automation.
Avoid When
You don't have an existing Dynatrace investment — the cost and onboarding complexity are significant for greenfield deployments.
Use Cases
- • Agent querying Davis AI problems and anomalies for automated incident response
- • Fetching distributed traces and spans for performance analysis automation
- • Metrics query and alerting policy management via API
- • Automated deployment event injection for change tracking
- • SLO monitoring and querying via the SLO API
- • Infrastructure topology queries to understand entity relationships
Not For
- • Cost-sensitive environments — Dynatrace is expensive enterprise software
- • Simple application monitoring where cheaper tools suffice
- • Workloads not deploying OneAgent (some features require the agent)
Interface
Authentication
API tokens with fine-grained scope selection (per-capability permissions). OAuth 2.0 client credentials flow available for automation. Tokens created in Dynatrace Access Tokens UI with explicit scope selection. Both v1 and v2 API support tokens; v2 is strongly preferred. Environment tokens are environment-specific.
Pricing
Dynatrace pricing can escalate quickly in large environments. Full-stack monitoring requires OneAgent on every host. Most organizations pay $50K-$1M+/year for enterprise deployments.
Agent Metadata
Known Gotchas
- ⚠ API tokens require explicit scope selection — agents need to identify and request all required scopes upfront
- ⚠ v1 and v2 APIs coexist with different endpoints and behaviors — always use v2 for new agent integrations
- ⚠ Metrics API uses DQL (Dynatrace Query Language) in newer versions — different from PromQL or SQL
- ⚠ OneAgent must be installed on hosts for APM data — API-only access does not provide trace data without agents
- ⚠ Problems API results reflect Davis AI analysis which can lag real-time by 1-3 minutes during high-load events
- ⚠ Entity selectors (entitySelector parameter) have a specific syntax that agents must learn to filter by type, tag, or property
- ⚠ Data retention varies by tier — metrics default 5 years but traces and logs may have shorter retention depending on license
Alternatives
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Scores are editorial opinions as of 2026-03-07.