Drop-in API endpoint
Route requests through `https://secondhandtokens.com/v1` using an OpenAI-style client setup, so existing code can target the service with minimal changes.
Second Hand Tokens is an AI token marketplace and API gateway to buy unused model credits at 50% off retail or sell unused credits through the same workflow.
Second Hand Tokens is a marketplace and API gateway for buying unused AI model credits from other developers at a discount. The home page describes the service as “AI tokens at 50% off the price,” and the pricing page lists discounted rates for models such as Claude, Llama, and DeepSeek.
The product gives developers a way to send requests through `https://secondhandtokens.com/v1` with an OpenAI-style client while the platform routes traffic through pre-funded seller accounts. Buyers pay at half of retail, and sellers can recover value from unused credits instead of letting them expire.
Route requests through `https://secondhandtokens.com/v1` using an OpenAI-style client setup, so existing code can target the service with minimal changes.
Pick from listed models including Claude Sonnet 4.6, Claude Opus 4.6, Claude Haiku 4.5, Llama 4 Maverick 17B, Llama 3 70B Instruct, DeepSeek V3.2, and DeepSeek R1.
See second-hand pricing on the homepage with side-by-side retail and discounted rates, showing the 50% discount before you send requests.
Add prepaid credit in the dashboard by paying with Stripe; the page states `1 paid = $1 credit` and shows minimum and maximum add-credit amounts.
Use standard chat parameters such as `messages`, `max_tokens`, `temperature`, `top_p`, and `stream`, with the dashboard noting that SDK-compatible parameters are forwarded to AWS Bedrock.
List unused inference credits on the marketplace and have requests proxied through Second Hand Tokens servers, so buyers do not see seller account details.
Teams that already use OpenAI-style clients can point their code at the Second Hand Tokens base URL and keep their existing chat-completion flow while buying discounted access to supported models.
Developers who need predictable spend can add prepaid credit in the dashboard and use the balance as requests are billed per token.
Projects comparing model families can browse listed options such as Claude, Llama, and DeepSeek to choose a model based on the published second-hand rates.
People with unused inference credits can list them on the marketplace to recover value instead of leaving credits idle.
Teams that want to keep billing separation from model providers can use the proxied workflow where requests go through Second Hand Tokens servers instead of exposing seller credentials.
Second Hand Tokens provides an API endpoint and dashboard that let you buy unused AI API credits through the same OpenAI-style client flow shown on the site. You sign in, add credits, and then send requests to the service base URL rather than directly to a model provider.
The site shows support for standard OpenAI SDK-style parameters such as `messages`, `max_tokens`, `temperature`, `top_p`, and `stream`. The dashboard says SDK-compatible parameters are forwarded to AWS Bedrock.
The source shows Claude, Llama, and DeepSeek models on the homepage, and the how-it-works section also mentions GPT-4o and Gemini as available model families. The available models are presented in the pricing and dashboard views rather than as separate plans.
The platform is built around buying and selling unused credits. Buyers pay half of retail, while sellers list unused inference credits and recover value from those credits; the sell page says credentials are never shared and requests are proxied through Second Hand Tokens servers.
The source does not show a free tier or trial. The dashboard says credits are added by paying with Stripe, with a minimum add-credit amount of $5 and a maximum of $500, but the page does not describe any subscription plans.
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