Tool: AgentShield, cost observability for AI agents
URL: agentshield.one
MRR: $0 (launched today — on april fools, because the real joke is deploying agents with zero cost visibility)
The problem: teams deploy AI agents with zero cost visibility. One agent loops and your $1.50/day baseline becomes $150 overnight. Most people don't have the time or skills to build their own cost monitoring, and provider dashboards don't show you per-agent breakdowns.
AgentShield sets up in one line of code. No infra, no proxy, no custom dashboards.
The build: 8 sprints in ~20 hours of coding. All solo with Claude Code.
Monitor: alerts, anomaly detection, forecasting, budget caps, kill switch
Replay: session timeline step by step, session sharing, comparison
Protect: guardrails, PII redaction, smart alerts
Billing: Stripe, plan enforcement, teams
Landing page, onboarding wizard, public docs
SDK: Python with LangChain, CrewAI, AutoGen integrations
262 files, 58 Claude Code tasks, 23 SQL migrations
Then 12 hours of production debugging. Auth redirect loops, CORS, JWT mismatches, system table collisions. 25+ bugs fixed, 5 security patches.
The distribution: 3 weeks of Twitter engagement before writing any code. 40+ comments per day. 3 beta testers from DM conversations. Zero ads.
Infrastructure cost: $5/month. Domain: $2.57/year.
This is tool #1 of 6. Public kill criteria: less than $200 MRR at 12 weeks = kill it and move on.
Ask me anything.
This is a real pain — “agent runs wild → surprise bill” is going to hit more teams soon.
Love the one-line setup + no proxy angle, that removes a lot of friction.
Also respect the public kill criteria — more founders should think like that.
For early traction, curious if you’re doubling down on those DM conversations — feels like your strongest channel right now.
Also, if you’re testing tools like this — $19 puts it in real competition. Tokyo trip + $500 min guaranteed.
Round just opened: tokyolore.com 🚀