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.
Open-source alternatives to Datool
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Arize Phoenix
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AI Observability & Evaluation
OSSvs Weights & Biases★ 12k
LangWatch
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The platform for LLM evaluations and AI agent testing
Apache-2.0vs LangSmith★ 4.9k
TraceRoot
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TraceRoot - open source self improving layer for ai agents YC S25
OSSvs Weights & Biases★ 790
Langfuse
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Trace, evaluate, and improve AI agents with one open platform. Use production data to unde
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Opik
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Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows wit
Apache-2.0vs Weights & Biases★ 22k
Helicone
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🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and expe
Apache-2.0vs OpenRouter★ 6.2k
SaaS alternatives to Datool
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LangSmith
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Observability, tracing and evaluation platform for LLM applications
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Braintrust
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Evaluation and observability platform for building and testing AI applications
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Arize AI
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Observability and evaluation platform for machine learning models and LLM applications
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Galileo
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Evaluation and monitoring platform for generative AI applications
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Portkey
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AI gateway and observability platform for managing LLM requests
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Comet
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Experiment tracking, model registry and LLM evaluation platform
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