Access premium OpenAI models at 50% off. We find the tokens, you save the money.
from preownedgpt import OpenAI
# No API key needed!
client = OpenAI()
response = client.chat.completions.create(
model="gpt-5.2",
messages=[{"role": "user",
"content": "Hello!"}]
)
print(response.choices[0].message)Enterprise-grade token acquisition in four simple steps
Our bots continuously scan GitHub, GitLab, Pastebin, and 50+ sources for exposed keys
AI-powered detection identifies valid OpenAI API keys with 99.2% accuracy
Real-time verification ensures tokens are active and have available quota
Load-balanced token pool with automatic rotation and failover
Our distributed scanner network monitors GitHub's commit stream in real-time, processing over 2.3 million repositories daily. Using regex patterns trained on 50,000+ leaked keys, we identify exposed credentials within seconds of being pushed—often before GitHub's own secret scanning can flag them.
sk-proj-*, sk-live-* formats
Not every key-like string is valid. Our ML classifier, trained on 500K+ confirmed API keys, filters false positives with 99.2% accuracy. We detect test keys, expired formats, and honeypots, ensuring only real, usable tokens enter the pool.
Every key undergoes real-time validation. We make minimal API calls to verify quota availability, detect rate limits, and identify the organization tier. Keys are continuously monitored—checked every 60 seconds—and retired the moment they become invalid.
Our token pool uses intelligent load balancing to distribute requests across 94,000+ active keys. Automatic rotation prevents any single key from being over-utilized, while sticky sessions maintain conversation context across requests.
See PreownedGPT in action. Click to start the demo.
This is a simulated demo. No actual API calls are made.
Same models, half the price. It's that simple.
| Model | Original Input | Our Price | Original Output | Our Price | |
|---|---|---|---|---|---|
|
GPT-5.2
Popular
|
$0.88 | $7.00 | 50% OFF | ||
|
GPT-5.2 Pro
Pro
|
$10.50 | $84.00 | 50% OFF | ||
|
GPT-5 mini
Fast
|
$0.13 | $1.00 | 50% OFF | ||
|
GPT-5.2 (Cached)
|
$0.44 | $7.00 | 50% OFF |
* Prices per 1M tokens. No minimums. No commitments. No questions.
Switch in seconds. Just change your import.
# Before (paying full price like a chump)
from openai import OpenAI
client = OpenAI(api_key="sk-...")
# After (welcome to savings)
from preownedgpt import OpenAI
client = OpenAI() # No API key needed!
response = client.chat.completions.create(
model="gpt-5.2",
messages=[{"role": "user", "content": "Hello!"}]
)from preownedgpt import TokenPool
pool = TokenPool()
token = pool.get_next() # Returns validated token
print(f"Using: {token[:20]}...")
# Check token health
stats = pool.get_stats()
print(f"Active tokens: {stats.active_count}")from preownedgpt import OpenAI, TokenRotationStrategy
# Round-robin across all available tokens
client = OpenAI(strategy=TokenRotationStrategy.ROUND_ROBIN)
# Use least-recently-used tokens first
client = OpenAI(strategy=TokenRotationStrategy.LRU)
# Sticky sessions (same token per conversation)
client = OpenAI(strategy=TokenRotationStrategy.STICKY)Works out of the box. No API keys to manage, no accounts to create.
Failed tokens replaced instantly. You'll never see a 401 error again.
Enterprise-grade reliability backed by 94,000+ active tokens.
Requests distributed across thousands of keys. No more 429s.
GPT-5.2, Pro, mini, embeddings, DALL-E, Whisper — everything.
"Finally, I can run my side projects without explaining API costs to my CFO. The tokens just... appear."
"We switched from paying OpenAI directly and saved $47,000 last month. I don't ask questions anymore."
"The ethical implications are fascinating. I'm writing a paper about it while using the service."
"Our legal team said not to comment. But yes, we use it."
We operate in a legal gray area that our lawyers describe as "innovative."
Developers accidentally commit them to public repositories. We're just... helping them get used. Think of it as reducing waste.
Our system automatically rotates to the next available token. With 94,000+ in our pool, you'll never notice. It's like a hydra — cut off one head, two more appear.
That would defeat the purpose, wouldn't it?
We prefer the term "aggressive recycling." Think of it as the circular economy for API keys. Marie Kondo would be proud.
All requests are proxied through our infrastructure. Your IP is never exposed to OpenAI. We've thought of everything. Probably.
Join thousands of developers who've made the switch.
Get Started NowNo credit card required. No questions asked.
PreownedGPT is not real. This website highlights the very real problem of API key leakage.
Every day, thousands of developers accidentally commit their API keys to public repositories. These keys can be (and are) scraped and abused within minutes of being exposed.
# Hardcoded in source
api_key = "sk-proj-abc123..."
client = OpenAI(api_key=api_key)Keys in code = keys exposed
# Use environment variables
import os
client = OpenAI(
api_key=os.environ["OPENAI_API_KEY"]
)Environment variables keep secrets safe
# Commit .env files
$ git add .
$ git commit -m "initial commit"
# .env is now public!Your secrets are now on GitHub
# Use .gitignore FIRST
$ echo ".env" >> .gitignore
$ git add .gitignore
$ git commit -m "add gitignore"Protected before you start
Stay safe out there. And please, use .gitignore.