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pnyx[alpha]

Decision Layerfor AI Infrastructure

Enterprise • Intelligent • Autonomous

Reduce inference costs and govern every AI decision automatically. Pnyx evaluates models continuously and routes each request based on proven capability, policy, and real-time performance.

OpenAI compatible
LLMs · multimodal · agents
Cross-provider routing
Continuous evaluation
Policy & audit trail

ROUTING ACROSS

OpenAIAnthropicGoogleAWSMicrosoftMistralMetaCohere

Trusted by engineering teams everywhere

Every AI request is a decision.

Most teams make it blindly.

Bring your production prompts. Pnyx evaluates them against every major model and shows you exactly where you're overspending and where cheaper models match or beat your current choice. No integration. No code change. Just data.

Evaluate Your Prompts

Your prompts are never stored, logged, or used for training.

FOR ENGINEERING LEADERS

Your AI is live. But costs are climbing.

Most production workloads route every request to a single model, paying frontier prices for tasks that smaller, cheaper models in the same provider's portfolio handle equally well.

Prove it with your own data

Bring your production prompts and Pnyx will show you exactly where you're overspending. No integration required. When the data makes the case, activate routing and Pnyx handles model selection automatically, applying your policies and routing each request to the model with the strongest proven capability.

See where your AI budget goes

Your prompts are never stored or logged. Full cost attribution by team, application, and use case. Budget caps. Model allowlists. Audit trails. Per-agent tracking and cross-provider comparison.

Control how every request is routed

Custom routing rules by team, use case, or compliance requirement. A/B test models before committing. The decision governance layer most enterprise AI deployments are missing.

FOR YOUR ENGINEERING TEAM

Stop managing provider APIs. Start shipping features.

One endpoint for every model. That's it.
Pnyx is OpenAI-compatible and works with LangChain, LlamaIndex, Semantic Kernel, and any standard client.

import requests

response = requests.post(
    "https://mainnet-gateway.pnyxai.com/relay/text-generation/v1/chat/completions",
    headers={
        "Authorization": "Bearer YOUR_API_KEY",
        "Content-Type": "application/json"
    },
    json={
        "model": "PNYX/router",
        "messages": [{"role": "user", "content": "Hello!"}]
    }
)

What your team gets

  • One API across every model you already use
  • Routing decisions backed by continuous evaluation data, not static configs
  • Automatic failover and rate limit handling across providers
  • Swap models without changing code. Just update your routing policy.
  • Test your own prompts to see which models perform best for your use cases

Watch models compete in real-time

Our live leaderboard shows which models are winning on quality, speed, and cost — updated every minute from real usage.

Rankings updating...