Online / Healthy

Dashboard

Monitor your network security and analyze with multi-LLM consensus

Total Analyses
0 +12%
Avg Confidence
0 % +2%
Active Models
3 All Online
Avg Latency
0 ms -15%

Quick Analysis

Start New Analysis
Click to submit a query
Recent Analyses
Your latest multi-LLM consensus results
Query ID Status Confidence Models Time
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Platform Capabilities

Multi-Model Consensus
Query Claude, GPT-4o, and Llama simultaneously for higher accuracy through model agreement.
Parallel Execution
All models queried concurrently via OpenRouter API for fast response times.
Confidence Scoring
Agreement-based confidence metrics with transparency on how consensus was reached.
Serverless Architecture
Built on AWS Lambda, DynamoDB, and S3 for automatic scaling and cost efficiency.
Cost Tracking
Per-query cost breakdown by model with detailed usage statistics and billing transparency.
API First Design
RESTful API with OpenAPI specification for easy integration with existing workflows.

New Analysis

Submit a query to the multi-LLM consensus engine

Drop PCAP file here or click to browse
Supports .pcap, .pcapng, .cap (max 10MB)
Querying models and building consensus...

How It Works

1. Submit Query
Enter your prompt
2. Query Models
3 LLMs in parallel
3. Build Consensus
Compare & synthesize
4. Get Results
With confidence score

Analysis History

View past analyses and their results

Query History
All previous analyses for this organization
Query ID Status Confidence Models Actions
Enter your Organization ID and click Load History

LLM Models

Available models for multi-LLM consensus analysis

Claude 3.5 Sonnet
Active
Anthropic's latest model with strong reasoning and analysis capabilities. Excellent at understanding context and providing nuanced responses.
via OpenRouter API
GPT-4o
Active
OpenAI's flagship multimodal model with broad knowledge base. Fast response times with comprehensive understanding across domains.
via OpenRouter API
Llama 3.1 70B
Active
Meta's open-source model offering competitive performance. Great for diverse perspectives and alternative viewpoints in consensus building.
via OpenRouter API

Why Multi-Model Consensus?

Reduced Hallucinations

When multiple models agree on a response, you can be more confident the information is accurate.

Diverse Perspectives

Different models have different training data and approaches, providing more comprehensive analysis.

Transparency

See individual model responses alongside the consensus, with clear confidence scoring.

Resilience

If one model fails or produces poor output, others can still provide a useful response.

Usage Statistics

Track your API usage and costs

Enter your Organization ID to view usage statistics

Settings

Configure your preferences

Email Notifications

We'll send analysis completion notifications to this address

Receive an email with the consensus summary and a link to view full results