Trasys vs Datadog

Datadog is a powerhouse for infrastructure monitoring, but its AI observability features are bolted onto a legacy APM model. Trasys is built from the ground up for AI-native teams—treating tokens, traces, and agent loops as first-class citizens, without the enterprise price tag.

Feature Comparison

Feature	Trasys	Datadog
Pricing Model	Transparent, volume-based without seat limits	Complex, host-based + custom metrics billing
AI Cost Tracking	Native token-to-dollar calculation per provider	Requires manual custom metrics & dashboards
Agent Loop Detection	Automated ReAct loop detection and auto-breakers	Requires manual APM threshold configuration

Pricing Model

Trasys

Starts free. Predictable usage-based scaling.

Datadog

Starts at $15/host/mo + expensive custom metrics.

Why Teams Switch

Stop paying for custom metrics just to track token usage.
Get a unified view of infra, traces, and costs without configuring 10 different dashboards.
Identify exactly which user prompt caused an error, not just the service that failed.

Frequently Asked Questions

Can I use Trasys just for AI and keep Datadog for infra?

Yes. Many teams use Trasys specifically for LLM tracing and cost tracking, while maintaining Datadog for their Kubernetes/Cloud infrastructure.

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