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Datool

SaaS

Tool for monitoring and improving AI applications: request tracing, cost tracking, prompt management, datasets, and repeatable evaluations.

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Datool homepage screenshot

About Datool

Datool is a platform for understanding and improving AI applications. It records traces of each request through steps such as retrieval, generation, and verification, so you can inspect inputs, outputs, spans, latency, token counts, estimated cost, and scores within the full workflow.

From traces, you can turn real examples into test cases, build datasets from the cases that matter, and run repeatable evaluations when you change prompts or models. The product also lists a playground, dashboards, sessions, human review and scores, prompt management, scorers, and alerts, along with documentation. It has a pricing page and a sign-up for new users.

Key features

  • Trace logs with span inspector
  • Token usage and cost estimates per request
  • Datasets built from real examples
  • Repeatable evaluations with scorers
  • Prompt management and playground
  • Alerts and dashboards

Good fit for

  • →Teams debugging failures in LLM agents
  • →Testing prompt changes against saved examples
Tags
llm-observability
tracing
evaluations
prompt-management
datasets
ai-monitoring
cost-tracking

Datool: questions and answers

What is Datool used for?
Datool is a tool for monitoring and improving AI applications: request tracing, cost tracking, prompt management, datasets, and repeatable evaluations. It is a good fit for teams debugging failures in LLM agents and testing prompt changes against saved examples.
How much does Datool cost?
Datool is a paid product with no free plan.
Is Datool open source?
No. Datool is proprietary (closed-source) software. In the AI Infrastructure category, open-source options include Arize Phoenix, LangWatch and TraceRoot.
What are some alternatives to Datool?
Datool competes with LangSmith, Braintrust and Arize AI.

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