Pg Sellv0.2.1

A startup has developed a custom AI model for code analysis and wants to generate revenue by selling API access. They use ProxyGate Sell to create a listing with per-request pricing, expose their service via a production tunnel, and track earnings from developers who integrate their API.

A large company has internal tools for data processing that they want to offer securely to partners. They use ProxyGate Sell to create managed listings with OAuth2 key rotation, upload OpenAPI documentation, and configure upstream headers for authentication, enabling controlled external access.

A freelancer has built a specialized LLM agent for content moderation and wants to monetize it on a marketplace. They scaffold a project using the llm-agent template, test endpoints locally, create a listing with per-token pricing, and use dev mode to monitor request logs and ensure reliability.

A developer runs a local web service for image processing and wants to make it available online without complex infrastructure. They configure a tunnel YAML file, start a production tunnel to expose the service, and use ProxyGate Sell to manage listings, pause/unpause based on demand, and view real-time earnings.

Charge users a fixed fee per API call, ideal for services with predictable request volumes like data validation or simple AI tasks. Sellers set prices in lamports (e.g., 5000 per request) and can adjust rates based on market demand or cost changes.

Price based on input and output tokens for LLM or generative AI services, allowing precise cost recovery for resource-intensive tasks. Sellers define separate rates for input and output tokens to align with computational expenses.

Offer API access through managed listings with features like key rotation and documentation updates, enabling premium or enterprise tiers. Sellers can pause/unpause listings to control availability and use headers for custom billing or access control.