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Deploy full-stack AI apps fast and monetize end-user API usage.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SettleMesh" yet — see the docs or source repo.
Using SettleMesh, generate a deployment plan for my AI assistant app: include user login, a database, per-API-call billing, and end-user charging. List the deployment steps, required configuration, and a launch checklist.
A complete deployment plan with infrastructure, configuration, billing integration, and pre-launch checks.
Based on SettleMesh and the X-Settle-Payer mechanism, design a per-API-call pricing model for my app. Explain cost, markup, user payment flow, and how I as the app owner earn revenue.
A clear billing and revenue-sharing model covering pricing, payment flow, and earnings calculation.
Create a SettleMesh-based one-command launch setup for a new full-stack agent app, including login, database, usage billing, environment variables, and the release flow from development to production.
An actionable launch configuration and process document for moving quickly from development to production.
Deploy agent apps fast with auth, database, and usage-based billing.
Control AI agent spend with pre-call caps, approvals, and rate limits.
Enable AI agents to pay, issue cards, and manage spending securely.
Turn AI outputs into reusable knowledge graph nodes through MCP collaboration.
Connect multiple agent payment protocols for unified charging and settlement workflows.
Build paid MCP servers that charge AI agents per call in USDC.