Atatus LLM Observability
Atatus LLM Observability: A focused LLM observability tool for tracing requests, spend, performance, and prompts. Ranked #22 of 26 in Llm Monitoring by our editors (7.0/10); pricing: Pricing on request · 14-day trial; best for teams wanting straightforward LLM request monitoring.
At a glance
- Editor score7.0 / 10
- PricingPricing on request · 14-day trial
- Best forTeams wanting straightforward LLM request monitoring
- Free planNo
- LLM tracingYes
- Facts checked24 Sep 2026
Where it wins
- Traces requests across input, retrieval, tool calls, and completions
- Tracks token use and cost by model, feature, and user
- Compares prompt versions with evaluations tied to production traces
Where it doesn't
- No free plan; pricing requires contacting sales
- The published 14-day trial is Atatus-wide, not LLM-specific
- No stated LLM-specific price or trace-retention period
Our verdict on Atatus LLM Observability
Atatus LLM Observability monitors LLM-powered applications in production, with end-to-end traces that follow user input through retrieval and tool calls to model completions. It is aimed at teams that need a clear view of request behavior, usage, and production issues rather than a general-purpose observability product alone. Sessions group related traces to help teams inspect conversation flows and spend patterns, while prompt and output visibility supports debugging.
The monitoring spans token use and cost by model, feature, and user, alongside latency, throughput, errors, and anomalies. Prompt-version comparisons and evaluation metrics connect experiments to production traces, which can help teams assess changes in context. Integrations include OpenAI, Anthropic, Google Gemini, AWS Bedrock, Cohere, and Mistral, as well as LangChain and LlamaIndex. Both cloud and self-hosted deployment options are listed, so teams can choose between SaaS and hosting the platform themselves.
Pricing is contact-sales, with no free plan. Atatus lists a 14-day trial for its broader platform, though those terms are not specific to LLM Observability. The product is a fit for teams that want request-level tracing, cost visibility, and prompt evaluation in one monitoring workflow, especially when they need provider and framework coverage or a self-hosted option. Teams seeking a free starting tier or published LLM-specific pricing should compare alternatives before committing.
Your product? Our editors can test Atatus LLM Observability in depth and publish a review, labelled as paid · from $149/mo →
Atatus LLM Observability pricing
Atatus LLM Observability fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| LLM tracing | Yes |
| Evaluation support | Yes |
| Deployment options | Both |
| Trace retention | Not verified |
| Alerts | Yes |
| LLM providers | OpenAI, Anthropic, Google Gemini, AWS Bedrock, Cohere, Mistral; LangChain and LlamaIndex frameworks |
| Free trial | 14 days · no card needed |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, ISO 27001, GDPR |
| Support | Email, Docs |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 200+ integrations: OpenAI, Anthropic, Google Gemini, AWS Bedrock, Cohere, Mistral … |
| Pricing | Pricing on request · 14-day trial (source) |
| Website | atatus.com |
| Facts checked | 24 Sep 2026 |
Atatus LLM Observability integrations
Atatus LLM Observability lists 200+ integrations on its own site — the 8 named here are the ones its pages call out.
- OpenAI
- Anthropic
- Google Gemini
- AWS Bedrock
- Cohere
- Mistral
- LangChain
- LlamaIndex
Alternatives to Atatus LLM Observability
- LangSmithBroad LLM tracing and evaluation, with cloud, hybrid, and self-hosted options.9.3
- Datadog LLM ObservabilityLLM tracing and evaluation with Datadog context, plus a free plan and cloud-only deployment.9.1
- LangfuseTrace LLMs, agents, retrieval, evaluations, prompts, and costs in cloud or self-hosted deployments.8.9
See all Atatus LLM Observability alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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