Automatically detect ungrounded, false, or irrelevant responses - no fine-tuning, no custom setup. Just call the API and start catching hallucinations in real time.
Automatically detect ungrounded, false, or irrelevant responses - no fine-tuning, no custom setup. Just call the API and start catching hallucinations in real time.
Automatically detect ungrounded, false, or irrelevant responses - no fine-tuning, no custom setup. Just call the API and start catching hallucinations in real time.
Large language models are powerful - but not always predictable.
Whether you’re building chatbots, RAG pipelines, or agentic workflows, it helps to know when their outputs might be unreliable.
Verify by kluster.ai is a lightweight reliability layer for any LLM application. It inspects outputs and flags low-quality or ungrounded content before it reaches your users or downstream tools.
Built for developers
Built for developers
Adaptive Inference offers three distinct processing options to match the specific needs of your projects:
Zero setup
No configuration, tweaking or fine-tuning, no new infrastructure. Just pass your model’s output to our endpoint.
No configuration, tweaking or fine-tuning, no new infrastructure. Just pass your model’s output to our endpoint.
Model agnostic
Model-agnostic and fully decoupled. Use it with any LLM, API, or local deployment.
Model-agnostic and fully decoupled. Use it with any LLM, API, or local deployment.
Real-time feedback
Get a fast, structured explanation for each flag.
Get a fast, structured explanation for each flag.
Plug into anything
Works with MCP, LangChain, LlamaIndex, CrewAI, eval harnesses, agents - wherever reliability matters.
Works with MCP, LangChain, LlamaIndex, CrewAI, eval harnesses, agents - wherever reliability matters.
How it works
How it works
Verify is an intelligent agent that assesses the reliability of LLM-generated content by analyzing:
The prompt
Understand what the user asked.
Understand what the user asked.
The response
Checks for hallucinations, contradictions, and irrelevance.
Checks for hallucinations, contradictions, and irrelevance.
Optional context
Verifies whether claims stay grounded in source materials or reference documents.
Verifies whether claims stay grounded in source materials or reference documents.
What makes Verify by kluster.ai different?
What makes Verify by kluster.ai different?
Real-time analysis
Detects hallucinations and unreliable outputs as they happen.
Detects hallucinations and unreliable outputs as they happen.
Internet-aware agent
Verify validates facts using dynamic web data.
Verify validates facts using dynamic web data.
No configuration needed
Works out-of-the-box with no manual tuning or thresholds.
Works out-of-the-box with no manual tuning or thresholds.
Reasoned outputs
Includes transparency and citations for decisions.
Includes transparency and citations for decisions.
Flexible integration
Connect via REST API, OpenAI-compatible endpoint, or native integrations with tools like Dify, n8n, and MCP servers.
Connect via REST API, OpenAI-compatible endpoint, or native integrations with tools like Dify, n8n, and MCP servers.
Use cases
Use cases
• Add a reliability check before outputs hit product or users
• Measure model reliability across prompts and datasets
• Catch degraded answers in RAG, agentic, or independent inference pipelines
• Build eval dashboards with baked-in reliability signal
