Arthur vs Datadog LLM Observability
A side-by-side look at pricing plans, free tiers, features, pros and cons, updated for 2026. Arthur starts at $60/mo and Datadog LLM Observability starts at See pricing page. Check both pricing pages for current plans.
LLM and agent monitoring inside the Datadog observability platform
Free trialAt a glance
Best for
Category
Pricing model
Starting price
Free plan
Made by
Based in
Rating
Key features
- Agent discovery
- Step-level tracing
- Runtime guardrails
- Audit logs and lineage
- Custom metrics and alerts
- Agent and LLM tracing
- Quality evaluations
- Prompt-injection checks
- Cost and token tracking
- APM correlation
| Feature | Arthur | Datadog LLM Observability |
|---|---|---|
| Best for | Discovery, monitoring and governance for enterprise AI agents | LLM and agent monitoring inside the Datadog observability platform |
| Category | Models & APIs | Models & APIs |
| Pricing model | Freemium | Free trial |
| Starting price | $60/mo | See pricing page |
| Free plan | Yes | No, 14-day trial |
| Made by | Arthur AI | Datadog |
| Based in | United States | United States |
| Rating | No ratings yet | No ratings yet |
| Key features |
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Pricing compared
Arthur starts at $60/mo and Datadog LLM Observability starts at See pricing page. Check both pricing pages for current plans.
Free plan
Cheapest paid plan
Top plan
Free trial
3 plans
Free
Free
- Up to 4 monitored use cases
- Unlimited seats
- Cloud data connectors
Premium
$60/mo
- Up to 100 use cases
- Custom metrics and dashboards
- Custom alerts and webhooks
Enterprise
Contact sales
- Dedicated infrastructure
- Governance and support
Prices in USD, checked Oct 28, 2026 or later. Plans change often, so confirm on each tool's site before you buy.
Pros and cons
Arthur
- Finds shadow agents across environments
- Free tier with unlimited seats
- Covers security and evaluation together
- Free tier monitors only 4 use cases
- Enterprise features need a sales call
- Broad platform takes time to set up
Datadog LLM Observability
- Joins AI and infra monitoring
- Built-in safety checks
- Enterprise-ready
- Expensive at scale
- Best only if you use Datadog
- Less flexible eval workflows
Which one should you choose?
Choose Arthur if you want:
- Finds shadow agents across environments
- Free tier with unlimited seats
- Covers security and evaluation together
Watch out: free tier monitors only 4 use cases.
Choose Datadog LLM Observability if you want:
- Joins AI and infra monitoring
- Built-in safety checks
- Enterprise-ready
Watch out: expensive at scale.
Arthur vs Datadog LLM Observability FAQ
What is the difference between Arthur and Datadog LLM Observability?
Arthur: Discovery, monitoring and governance for enterprise AI agents. Datadog LLM Observability: LLM and agent monitoring inside the Datadog observability platform. Both are models & apis tools.
Is Arthur or Datadog LLM Observability cheaper?
Arthur starts at $60/mo and Datadog LLM Observability starts at See pricing page. Check both pricing pages for current plans.
Do Arthur and Datadog LLM Observability have free plans?
Arthur: Yes. Datadog LLM Observability: No, 14-day trial.
Who makes Arthur?
Arthur is made by Arthur AI, based in United States.
Who makes Datadog LLM Observability?
Datadog LLM Observability is made by Datadog, based in United States.
Which should I choose, Arthur or Datadog LLM Observability?
Choose Arthur if you value finds shadow agents across environments and free tier with unlimited seats. Choose Datadog LLM Observability if you value joins ai and infra monitoring and built-in safety checks.