An Inside Look at the Token Reseller Market

I spent years working on financial integrity at a large ads company and this isn't novel at all! The same resale markets are at play for the last generation of internet giant's products. Highly sophisticated actors, able to cobble together impressions through abuse of the billing systems, stolen financial instruments, taken over accounts, etc, create massive markets of discounted impressions for resale. It was very interesting to compete against them as we hardened our defenses and they invented new ways to exploit them. I imagine the same defensive tools and techniques are being deployed by my former colleagues who moved to the labs.

One aspect that seems to be missing is the abuse of the free credits provided for new companies by AWS, Azure, and other providers.

I know of a friend's company in India who purchased inference, at 4% of the actual price and states that it gave him an unbeatable competitive edge in their large running video influence pipelines. Any new competitors could not offer their pricing at all.

Primarily that operated because registering a new company getting free AWS credits was a very tiny cost

The real problem is subscription models. Businesses want recurring revenue so they try to game the ratio of fixed subscription prices to COGS but it's always a game and so whoever can figure out the upside for the company can figure out the complementary upside for themselves.

How would one even word a bulletproof subscription contract for agentic tokens, anyway? You can't forbid automation because sub-agents are automation. You could forbid "using tokens for the benefit of more than the human who signed up" but then what do families (especially with kids) need to do? What if your friend asks you a question and you turn to a chat model? Forbidding "reselling" tokens outside of a household sounds like the closest terms but that's leaky for anyone who travels a lot, etc.

Fixed cost per token simply works.

IMHO free trials, subsidized plans and many other practices of AI providers are hostile and harmful to consumers, especially long term.

Perhaps abuse by token resellers is still more than proportional response. Still, I find it hard to sympathize with AI providers.

Perhaps it’s like piracy - when the user can comfortably access legal content, they are less likely to search for alternatives.

> For example, one operator’s price-comparison site listed a package that bought the equivalent of $3,333 worth of official Anthropic credit for 425 RMB — roughly $0.13 of usage per $1 spent.

Do these numbers make sense? $0.13 usage per $1 spent?

Nice research and structuring into 4-tier layer. For providers like Anthropic and OpenAI, subscription is the entry point for all these, right? Besides the measures proposed in the article, can token usage % determine these clusters of accounts?

I use both of subscription and API services. on last month, i chat with CLI and let it to do something. After that, maybe in one days pass, i received the $32 USD bill. it cause my left my API key and CLI call the API to do job not through subscription.

thats one of the reasons why we vest any of our new customers. We need to know you before you are allowed to use our agent system. When you have an open sign up with some free credits, all hell breaks loose.

what tokens are these being sold?

Token is the new cryptocurrency.

"Token reseller market" is a fancy way of saying credit card fraud. If someone stole xboxs from stores using stolen credit cards and then sold them at 10% of their price, at what point is it a "resller market" and not "criminal enterpirse"?

I don't know anything about tokens. Does the following argument make sense?

1. Tokens are model-specific: e.g. tokens used by Anthropic cannot be used in models of other companies.

2. Tokens are generated by GPU cards. They measure the power of GPU cards.

3. Tokens cannot be separated from the models. You sort of "connect" the software part (models) into the hardware part (GPU cards) to use the tokens generated from the hardware.