The Payment Stack
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Define revenue streams in YAML. Simulate locally. Optimize. Git push.
curl -sL https://install.money.mq | bashRevenue streams in YAML
Your pricing lives in your repo, not a dashboard. Products, tiers, and variants defined in files your local copilot already understands.
Any copilot can implement your entire pricing in a single pass. Tested with Claude Code, Cursor, OpenAI Codex, and more.
Create unlimited pricing tiers, regional variations, and A/B tests. Deep merge inheritance keeps things DRY.
Every pricing change is a commit. Full audit trail, easy rollbacks, blame history for compliance.
No black-box dashboards. Your entire revenue model in plain text that anyone can understand and review.
Full stack on localhost
The complete payment infrastructure runs on your machine. Real transactions, real settlement logic, real edge cases — all on 127.0.0.1.
What you simulate is what you get. The same code runs locally and in production. No surprises at deploy time.
Your copilot knows your business
Your AI assistant has full context of your codebase, your users, and your revenue model. It can suggest pricing strategies that actually make sense for your product.
Variants aren't just for tiers. Create pricing experiments, roll them out to segments, measure conversion. All in version control.
Your copilot sees your user data, your analytics, your competitors. Pricing recommendations grounded in reality, not guesswork.
MoneyMQ exposes an MCP server. Your copilot can query catalogs, simulate purchases, and validate changes before you commit.
Git push to production
GitOps for revenue. Open pull requests for pricing changes, review with your team, merge when ready. Your CI/CD pipeline handles the rest.