ClawPane sits between OpenClaw and your model providers, routing each request to the cheapest model that meets its quality bar. Nothing needs to be configured per agent and nothing requires redeployment.

The product offers automatic model selection inside OpenClaw where every request is scored against cost, latency, quality, and carbon footprint. It provides per-router weight tuning allowing creation of multiple routers with different objectives. ClawPane functions as a drop-in OpenClaw provider that can be added in Settings → Model Providers with one URL and one API key. It features agent-native routing where OpenClaw agents can dynamically switch routing strategy mid-conversation without static model config. The system provides real-time cost visibility with metadata showing selected model, cost, latency, and environmental impact. It includes automatic fallback chains that try the next best option if a provider is down or rate-limited.

The routing algorithm is published openly and anyone can read how decisions are made, verify the logic, or contribute. Debate mode sends requests to 3 models from different families in parallel with an arbitrator synthesizing the best possible answer from all three responses.

Benefits include estimated 20-45% cost reduction, less than 100ms routing overhead, and 25x cost reduction on simple requests. It supports 10+ providers including OpenAI, Anthropic, Google, Meta, xAI, DeepSeek, Mistral, Qwen, Moonshot, and MiniMax.

The target users are OpenClaw users who want to optimize model costs while maintaining quality. It integrates directly with OpenClaw through the Model Providers settings and supports OpenAI SDK.