Private Access Rail for developers and AI agents with ZK proofs, Short-lived spend keys and one private balance.
CA: 0xdd24027fd33744153f34dda7ae0eef450ab6d175
ZKRAIL is now launching on Ethereum.
CA: 0xdd24027fd33744153f34dda7ae0eef450ab6d175
Private access for AI and machine services, powered by ZK proofs, bounded sessions, short-lived spend keys, and onchain settlement.
π Explore the live flow: https://t.co/qfoMglF7Qm
#ZKRAIL #Ethereum #ETH #ZK #ZeroKnowledge #AI #Privacy #Web3
The session key authorizes service access.
Usage is metered. A usage receipt records what was consumed. Settlement deducts the actual usage and returns the remaining value to a fresh private balance.
Use what you need. Settle what you use.
#ZKRAIL#Ethereum#AI#ZK
A valid proof does not create a permanent API credential.
ZKRAIL turns authorization into a short-lived, spend-capped session key.
The key is limited by session and budget, then expires instead of becoming another long-term credential tied to the user.
#ZKRAIL#AI#Privacy#ZK
ZKRAIL does not need to expose the private note itself to authorize a session.
A Groth16 proof on BN254 proves the required conditions for bounded usage, while a one-time nullifier prevents the same note from being spent twice.
Proof becomes authorization.
#Chutes#ZKRAIL#ZK #Groth16 #Ethereum
Private access should not mean locking your value inside the system.
ZKRAIL includes withdrawal controls directly in the Playground, so unused private balance can be moved out when you need it.
Fund. Use. Withdraw.
π https://t.co/mTzr6guv9t
#AI#Playground#ZKRAIL
Private access starts with value.
ETH enters the vault and becomes a private note represented through a cryptographic commitment. That commitment can then be used as the basis for private authorization without exposing the original funding relationship.
Fund once. Use privately.
#ZKRAIL #Playgorund #ZeroKnowledge #Ethereum #Privacy
Now we talk about ZKRAIL Architecture.
ZKRAIL separates the stack into clear layers.
Applications send requests through the session router, private access handles authorization and payment privacy, compute handles inference, and Ethereum provides settlement.
One rail connecting access, compute, and value.
#Playground #Architecture #ZKRAIL #Ethereum #ZK #AI #Privacy
ZKRAIL Playground already exposes the core utility in one place:
- Model selection.
- Wallet connection.
- Testnet/mainnet switching.
- Browser-local history.
- Private balance controls.
This is the product flow, live today.
π Website: https://t.co/qfoMglEA0O
#ZKRAIL #Playground #Privacy
We let users switch between testnet and mainnet directly from the Playground.
Testnet is where Chutes TEE models remain available. Mainnet uses real ETH with its own network-specific flow.
One interface. Different execution routes.
#Playground#ZKRAIL#Ethereum#TEE#AI
ZKRAIL combines prompting, model access, private balance management, and network selection in one interface.
The goal is simple: make private access usable, not theoretical.
Try the Playground:
https://t.co/Dhfh8q9GM5
#Playground#ZKRAIL#ZK#AI#Privacy
We give you one private balance inside the Playground.
Fund once, then use that balance across supported sessions and services instead of creating a separate billing relationship for every destination.
https://t.co/h0GEmq9R2V
#ZKRAIL#Privacy#AI#Web3#Playground
ZKRAIL flow starts simply:
Connect your wallet > Choose your network > Fund a private balance > Start a session > Use the service.
The Playground is live and available to try now.
π https://t.co/Dhfh8q9GM5
#ZKRAIL#Ethereum#ZK
Your ZKRAIL conversation history stays in your browser.
No server-side chat history is built around your session by default.
Private access is not only about payments. It also means reducing unnecessary places where your activity is stored.
https://t.co/qfoMglF7Qm
#ZKRAIL #Privacy #AI #Playground
On the testnet, ZKRAIL Playground lets users choose from supported Chutes TEE models directly from the interface.
Pick a model, fund your private balance, and start a session through the same rail.
https://t.co/Dhfh8q9GM5
#ZKRAIL#TEE#AI#Privacy#Playground
Playground supports both testnet and Ethereum mainnet.
On mainnet, the flow uses real ETH, the official Open Anonymity vault, and supported models routed through OpenRouter.
Explore the live mainnet flow:
https://t.co/mTzr6gv2Z1
#ZKRAIL#Ethereum#ETH#Privacy
ZKRAIL Playground brings private AI access into one working interface.
Connect a wallet, start a session, use a private balance, and interact with supported models without making your payment identity the center of every request.
https://t.co/chsh5DSnso
#ZKRAIL#Privacy#AI #ZK
ZKRAIL is not just a concept. The Playground is live and can be tested directly.
Connect your wallet, fund a private balance, create a session, access AI models, and see the private-access flow in action.
Testnet:
π https://t.co/chsh5DSVhW
Mainnet:
π https://t.co/juLFIRX74o
We've been building this utility: private balance, short-lived access, metered usage, and settlement through one rail.
Try it yourself. Donβt just take our word for it.
#ZKRAIL #Ethereum #ZK #ZeroKnowledge #Privacy #AI #Web3
An agent should not need your entire billing account just to complete one task.
- Give it a budget.
- Give it temporary authorization.
- Let it use the required service.
- Revoke access when the task is finished.
That is a much cleaner model for autonomous software.
#ZKRAIL #Ethereum #ZK #Privacy #AI
Persistent credentials are convenient, but they also create long-lived history.
Temporary credentials behave differently.
They can be limited by time, budget, or session.
For machine services, this can reduce both security risk and unnecessary identity linkage.
#ZKRAIL #Ethereum #ZK #Privacy #AI
Ask Freely. Pay Privately.
Most AI payments leave a trail, linking your wallet and identity to the services you use.
ZKRAIL changes that with one private balance and ZK-based access.
Get started in 5 steps:
Fund β Prove β Access β Use β Settle
Your identity stays separate from your service usage.
Try it: https://t.co/8CrTLcZpYg
#ZKRAIL #Ethereum #ZK #Privacy #AI