About AiSanity
AiSanity is a hosted monitoring service for teams that ship products built on language models. Its premise is that uptime does not equal quality, so it validates the content and structure of AI outputs in production rather than only checking that an endpoint responds.
It separates inexpensive heartbeat checks for infrastructure from deeper quality checks to avoid spending tokens on constant health tests. Drift detection warns when a silent model update changes answers, strict schema validation confirms every response is valid JSON, and an LLM-as-a-judge option uses a lightweight model to grade correctness. Branded public status pages let you show stakeholders the health of the AI without exposing internals. AiSanity is a commercial SaaS product with sign-in and a pricing page, aimed at developers of AI wrappers and agent-based applications.
Key features
- Hallucination and quality verification
- Model drift detection and alerts
- Strict JSON schema validation
- LLM-as-a-judge grading of outputs
- Cheap heartbeat versus deep quality checks
- Branded public status pages
Good fit for
- →Catching silent model update regressions
- →Showing stakeholders AI health status
- Tags
- ai-monitoring
- llm-observability
- hallucination
- drift-detection
- json-schema
- status-page
- quality
AiSanity: questions and answers
- What is AiSanity used for?
- AiSanity is a quality monitoring layer for AI apps that catches hallucinations, model drift and broken JSON schemas in production and publishes status pages. It is a good fit for catching silent model update regressions and showing stakeholders AI health status.
- How much does AiSanity cost?
- Paid plans for AiSanity start at $9 per month, and there is no free plan.
- Is AiSanity open source?
- No. AiSanity is proprietary (closed-source) software and can't be self-hosted. In the AI Infrastructure category, open-source options include Arize Phoenix, Opik and Helicone.
- What are some alternatives to AiSanity?
- AiSanity competes with LangSmith, Braintrust and Arize AI.
Open-source alternatives to AiSanity
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Arize Phoenix
AI Infrastructure
AI Observability & Evaluation
OSSvs Weights & Biases★ 12k
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
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
Ollama
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Get up and running with Kimi, GLM, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other model
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SaaS alternatives to AiSanity
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LangSmith
AI Infrastructure
Observability, tracing and evaluation platform for LLM applications
SaaS
Braintrust
AI Infrastructure
Evaluation and observability platform for building and testing AI applications
SaaS
Arize AI
AI Infrastructure
Observability and evaluation platform for machine learning models and LLM applications
SaaS
Galileo
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Evaluation and monitoring platform for generative AI applications
SaaS
Fiddler AI
AI Infrastructure
AI observability and model monitoring platform with explainability
SaaS
AgentGov
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Open source platform for AI agent tracing and EU AI Act compliance with audit trails and risk documentation
SaaS

