Product
Datadog LLM Observability
by Datadog
- Product website
- https://www.datadoghq.com/product/llm-observability/
- Documentation
- https://docs.datadoghq.com
- Categories
- AI / Agent Observability
Description
Datadog LLM Observability monitors and traces LLM applications, providing visibility into prompts, responses, latency, and cost across the LLM stack.
AI-native score
How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?
Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.
| Component | Raw | Weight | Contribution |
|---|---|---|---|
| Integration | 1/10 | 35% | 3.5 |
| Trust | 1/6 | 30% | 5.0 |
| Portability | 4/4 | 20% | 20.0 |
| Security | 3/4 | 15% | 11.2 |
Signals that fired
- Integration: SDK / developer kit (+1)
- Trust: Verified trust center (+1)
- Portability: Data export (partial, +1) ; Open standards (+1) ; Standard protocol access (+1) ; No proprietary-SDK lock-in (+1)
- Security: MFA available (+1) ; Compliance certifications (+1) ; Access controls — RBAC / ABAC (+1)
Signals not researched
These gaps cover the fields used in the AI-native score.
- Integration surfaces: llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills
- Trust & data policy: No generative AI training, Hard budget caps, Sandbox environment, Data import, Documented provider swap, Self-hostable, Open source
Trust & data policy
- Trust center
- Vendor trust center
- Multi-factor authentication
- Available
- Zero data retention
- No
- Data export
- Partial
- Open standards
- Yes
- Standard protocol access
- Yes
- No proprietary-SDK lock-in
- Yes
Not yet researched No generative AI training, Hard budget caps, Sandbox environment, Data import, Documented provider swap, Self-hostable, Open source
Security & compliance
Certifications and access controls this product reports on its own pages. We confirm the vendor lists each one; for certifications we don't audit the underlying report. Part of the 15% security score.
A shared trust or security page can support several certifications. We do not require separate public report links because reports may require login, vendor approval, or a nondisclosure agreement. Ask the vendor for reports and applicable coverage before a procurement decision. These listings expose no per-claim check date; the entry's updated date does not date the supporting evidence.
Compliance certifications
Access controls
Integration surfaces
How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).
Developer kits
-
Datadog Agent Observability Python SDK
Languages: Python
Not yet researched llms.txt, WebMCP, Headless signup, MCP servers, Agent2Agent (A2A) servers, Native connectors, API specs, Command-line interfaces, Agent skills
Offers
No offers recorded.
Evidence & documentation
Documentation
Reviews
No approved reviews yet.
Catalog activity
Track how this entry changes as proposals are opened and merged.
Related products
Products from other publishers that share a job-to-be-done or category, most-shared first.
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AI / Agent Observability LLM Evaluation Prompt Management
-
AI / Agent Observability LLM Evaluation
-
AI / Agent Observability LLM Evaluation LLM Router Prompt Management
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Ready to decide?
Unrated · 38% researched. Grade withheld until more fields are verified.