- 필수 기능
- 시작하기
- Glossary
- 표준 속성
- Guides
- Agent
- 통합
- 개방형텔레메트리
- 개발자
- Administrator's Guide
- API
- Datadog Mobile App
- CoScreen
- Cloudcraft
- 앱 내
- 서비스 관리
- 인프라스트럭처
- 애플리케이션 성능
- APM
- Continuous Profiler
- 스팬 시각화
- 데이터 스트림 모니터링
- 데이터 작업 모니터링
- 디지털 경험
- 소프트웨어 제공
- 보안
- AI Observability
- 로그 관리
- 관리
Supported OS
Dashboard overview with health check and AI output quality metrics.
Safety and Security Metrics.
Tone metrics with a list of response metadata logs.
Description of a response evaluation log.
AIMon provides tools that help organizations evaluate, monitor, and improve the quality and reliability of their AI applications. It surfaces key response metrics such as groundedness, instruction adherence, context relevance, and toxicity to help teams improve output quality and build more reliable AI systems.
The Datadog integration enables real-time or asynchronous visualization of these metrics, supporting faster anomaly detection, prompt evaluation, and tuning of LLM pipelines. AIMon also logs evaluation metadata such as user prompts, model responses, timestamps, and evaluation scores for traceability and debugging at scale.
/integrations
tab on AIMon.Note: If your organization already has a Datadog API key and an AIMon account, make sure you register under the same company name in AIMon. AIMon requires a one-to-one mapping between companies and Datadog organizations. Using a different company name results in an error.
When the integration is active and the AIMon API key is in use, the platform will automatically transmit:
For support, please reach out to the AIMon team.
Dashboard overview with health check and AI output quality metrics.
Safety and Security Metrics.
Tone metrics with a list of response metadata logs.
Description of a response evaluation log.