Datadog vs New Relic vs Grafana Cloud for AI Agents (AN Score Comparison)

AI agents need monitoring APIs for two distinct purposes: observing the systems they manage, and being observed themselves. An agent deploying infrastructure needs to push metrics, query dashboards, and set up alerts — all through APIs, with no human clicking through UIs. The gap between "has an API" and "an agent can actually use it" is wider in monitoring than in most categories. These platforms were built for human operators staring at dashboards. The API is often an afterthought — functional, but designed for integration scripts, not autonomous decision-making. The Scores Service AN Score Execution Access Readiness Confidence Tier Datadog 7.8 8.2 7.1 61% L4 Established Grafana Cloud 7.1 7.5 6.4 55% L3 Ready New Relic 7.0 7.4 6.3 55% L3 Ready Datadog leads by 0.7–0.8 points. The gap is real and driven by access readiness (7.1 vs 6.3–6.4) more than raw execution. Datadog — AN Score 7.8 (L4 Established) Best for: Agents managing full-stack observability across cloud infrastructure, AP