Hi Product Hunt, solo founder here.

I built Argosvix because my own agents kept failing quietly. Costs and logs looked fine, then I'd notice a judge model had been scoring bad outputs as "great" for a week. The problem wasn't missing dashboards. It was that I had to remember to check them.

Argosvix is the watcher I wanted: it scores quality, runs safety checks, tracks errors and cost across OpenAI, Anthropic, Gemini, Grok, Kimi, DeepSeek, and Mistral, then creates an approval item when a human decision is needed.

The two bets:

1. Setup should be one paste into Claude Code, Cursor, or Codex, followed by one browser approval.

2. Observability should be operable from the agent. With MCP, you can ask "why did cost spike yesterday?" or create an alert/budget from chat instead of digging through a dashboard.

If you use Langfuse or Helicone: I'm not trying to be the deepest trace workbench. Argosvix is for solo devs and small teams who want an AI to watch quality, cost, and safety across providers and bring evidence-backed decisions to them.

Free plan is 50k records/month. The live demo uses my own production data, no signup needed.

I'd love blunt feedback from anyone running agents on cron and getting burned by silent failures.