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Argosvix
An AI that watches your AI agents — health, cost, safety
Argosvix watches agents for quality drift, safety issues, errors, and cost across 7 providers. Findings go to an approval inbox, and 89 MCP tools let Claude Code/Cursor/Codex investigate and operate from chat. Setup is one paste. Free plan: 50k records/mo.
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.
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About Argosvix on Product Hunt
“An AI that watches your AI agents — health, cost, safety”
Argosvix was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #156 on the daily leaderboard. Argosvix watches agents for quality drift, safety issues, errors, and cost across 7 providers. Findings go to an approval inbox, and 89 MCP tools let Claude Code/Cursor/Codex investigate and operate from chat. Setup is one paste. Free plan: 50k records/mo.
Argosvix was featured in SaaS (43.6k followers), Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 245.1k products, making this a competitive space to launch in.
Who hunted Argosvix?
Argosvix was hunted by Yuto Makihara. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Argosvix stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Yuto Makihara
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.