The private market for intelligence.

Discover, purchase and consume AI compute on a programmable onchain marketplace built with zero-knowledge technology.

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Compute needs a market. Snarket makes that market private.

The first listings are LLM inference credits: bought onchain, redeemed through one API, and checked with a zero-knowledge proof.

From a listing to an answer.

  1. DiscoverBrowse models and what each costs per token.
  2. PurchasePay for a credit in USDG. You sign one message and need no gas.
  3. ProveYour browser proves a credit is yours and unspent, without saying which.
  4. RedeemThe proof funds an API key that was never tied to a wallet.
  5. InferCall an OpenAI-compatible endpoint from your app or agent.

What is private today, and what is not.

A privacy claim is only worth what the system behind it does. This is what Snarket does at launch. How privacy works

Private

  • Which purchase funded a keyA zk-SNARK shows the credit is one of all those bought for that amount. Nothing in it points to yours.
  • Who is callingA key has no account and no wallet. It is made in your browser, and only its hash is sent when you redeem.
  • Your prompts, at the providerEvery listing runs inside a GPU enclave. Each response carries a signed receipt you can check.

Public or visible

  • The purchase itselfPaying is an ordinary USDG transfer on Robinhood Chain. Your wallet, the amount and the time are onchain.
  • When and from where you redeemTiming and your IP address are not hidden by the proof. Redeem later, and from a different network if it matters.
  • Requests in transitSnarket's gateway forwards your request to the enclave. It stores token counts and charges, never prompts or answers.

Starting with LLM credits. Heading for a market in compute.

  1. Intelligence marketplaceNowModel discovery, USDG payments, redeemable credits, the gateway and the first credit-validity proof.
  2. Private commerceNextConfidential balances or private settlement where the chain supports it, and onboarding for more providers.
  3. Agentic economyLaterAgents that buy for themselves under spending policies, with providers competing on price and latency.
  4. Compute economyLaterGPU compute, specialized models, training capacity and other compute that can be verified.

A credit starts at one dollar.

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