Hi OpenAgent team,
I noticed OpenAgent's positioning as a Web3 AI Agent solution and thought the model-routing layer might be relevant.
I run OneFast, an OpenAI- and Anthropic-compatible API gateway for teams comparing GPT, Claude, Gemini, DeepSeek, Qwen and similar model routes with lower token cost.
If your agents call model APIs for planning, chain analysis, wallet actions, or community support flows, I can add a small test credit so you can benchmark cost, latency and output quality behind one base URL + API key.
Website: https://api.onefast.ai/
Console: https://api.onefast.ai/console
Email: nieziyu123@hotmail.com
WhatsApp: +86 17320527338
Would a small evaluation credit be useful for OpenAgent's model/API benchmarking?
Hi OpenAgent team,
I noticed OpenAgent's positioning as a Web3 AI Agent solution and thought the model-routing layer might be relevant.
I run OneFast, an OpenAI- and Anthropic-compatible API gateway for teams comparing GPT, Claude, Gemini, DeepSeek, Qwen and similar model routes with lower token cost.
If your agents call model APIs for planning, chain analysis, wallet actions, or community support flows, I can add a small test credit so you can benchmark cost, latency and output quality behind one base URL + API key.
Website: https://api.onefast.ai/
Console: https://api.onefast.ai/console
Email: nieziyu123@hotmail.com
WhatsApp: +86 17320527338
Would a small evaluation credit be useful for OpenAgent's model/API benchmarking?