• The resale proxies are ordinary open-source software: one-api and its more active fork new-api, used to load-balance requests across a pool of API credentials. The discount comes from the credentials, not from any clever inference trick.
• The keys are sourced by abusing free trials, proxying through unprotected customer-support bots that quietly forward to a model, and in some cases stolen cards or chargebacks. Any public endpoint left unmetered becomes inventory.
• Buyers are not all bargain hunters. Some want to route around geographic restrictions on frontier APIs, and some are collecting outputs to distill their own models.
• The concrete ask of vendors is a hard dollar cap per API key that stops serving the moment it trips. Spend alerts arrive after the bill, which is no defense against automated abuse.

• LLM — A large language model — the neural network behind tools like Claude and ChatGPT, trained on huge amounts of text to predict what comes next.
• token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
• inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.

API key pooling and resale is a live fraud and security concern for anyone operating LLM infrastructure at scale.

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