Sponsor a channel
Fund a channel for another person, so they can use AI within the budget you choose.
Buy AI by the token with no card or account. Sell it from the computer you already have, or give it away. Designed so every charge is measured and unused funds come back to you.
In development. Today, explore the protocol and follow updates on X.
One question. A new direction.
Access should not stop when someone cannot pay. These three paths will let people and communities share intelligence.

Fund a channel for another person, so they can use AI within the budget you choose.
Give inference to chosen recipients from the same node, with limits per recipient and a daily token cap.
The access fund will help students, schools and communities get the AI they need.
A preview of the planned flow: choose an offer, set a budget, and pay as tokens arrive. When the session closes, unused funds return to you.
BUYER PROXY SOLANA SELLER NODE ─────────── ────── ─────────── │ │ │ │──── read registry ─────▶│ │ │◀────────────────── signed offer ──────────────────│ │ │ │ │──── lock 5.00 USDC ────▶│ escrow │ │ │◀──── seller pays fees ──│ │ │ │ │═══ prompt + voucher #1 (0.02) ═══════════════════▶│ │◀══════════════════════════════════ tokens (SSE) ══│ │═══ voucher #2 (0.05) ════════════════════════════▶│ │═══ voucher #3 (0.09) ════════════════════════════▶│ │ │ │ │ │◀──── settle 0.09 ───────│ │◀──── refund 4.91 ───────│──── pay seller ────────▶│
Compare the model, price and terms before choosing an offer.
Each offer will carry a level describing its model and usage, never the person or provider.
Audits check whether the model served matches the one advertised.
For eligible open-weight models that pass statistical LOGIC audits.
You can independently recount the tokens used.
Requires a known public tokenizer. This does not verify model identity.
You rely on the usage reported by the seller.
Without an independent token recount or model audit.
Connecting an API alone does not establish model identity or an exact input-token count. The level will show what you can independently check.
Model audits are statistical checks, not a guarantee that every response is correct. Read how verification works
Connect a model you already run or a compatible API. The Gyblos node will let you set your price and offer AI, paid or free.
Prefer a server? The same node will run on a VPS without a desktop interface.
Explore sellingPlanned for OpenAI- and Anthropic-compatible engines and APIs. You are responsible for the engine or API you connect, its operation, licensing, resale rights and data policy.
Choose your engine and price, then connect with one button.
The local proxy is designed for OpenAI- and Anthropic-compatible tools and agents. These are integration examples; supported features will be listed with each release.
Agents will be able to use the same proxy with a wallet and a budget. Explore agent integration
With the local proxy running, point Claude Code to Gyblos.
export ANTHROPIC_BASE_URL=http://localhost:8787 export ANTHROPIC_AUTH_TOKEN=gyblos-local claude
Scroll horizontally to see the full example
The Gyblos fee is already included in the price you see. No additional Gyblos fee is added.
Connect directly to a seller through the Gyblos app or local proxy. The same fee applies to all offers.
Access sellers through a managed service, using one URL and an API key.
Initial rates, subject to review after the pilot.
The fee applies to usage, not to the budget you reserve. Unused funds come back to you. Network costs are separate.
Explore the protocol, integration examples and public paper, and follow releases on GitHub. Payment and inference prototypes have been tested on Solana devnet. Public buying and selling, desktop apps, model audits and sponsored access are next; the examples on this site explain that intended experience.
Direct buyer–seller connections are the primary route in the protocol: a local proxy sends requests to the seller and payments use a channel between them. A managed gateway is a separate future option that would handle requests and funds as an intermediary.
The seller processes your request and can read your prompt. If the seller connects an external API, that service may receive it too and apply its own data policy. Direct transport does not hide prompts from either recipient. Each offer will declare its data policy; that declaration is not proof of enforcement. Model audits may also need response context. Audit disclosure and retention rules will be published before that feature is available.
The verified-model seal will use statistical LOGIC audits and canary prompts for eligible open-weight models with the required log-probabilities. Audits sample responses; they do not prove every response or factual correctness. Thresholds, disputes and stake-funded compensation still need validation.
The protocol is designed to accept any model a seller declares, including engines connected by a compatible API URL. Sellers are responsible for operation, licensing, resale rights and data policy. Free offers will let sellers choose recipients and set limits. Only eligible open-weight models can earn the verified-model seal.
No. The network is designed around addresses, without KYC or KYB. Optional public signals and measured service reputation are separate from model audits. Offer levels describe the model and usage, never a person or provider.
Inference will be paid in USDC on Solana. In the direct route, buyers reserve a channel budget and sellers pay network fees. Unused funds return through channel settlement and recovery; the public paper explains the trust assumptions and cases still being tested.
GYB is planned for a later phase, after a legal review, with no date set. The network will launch with USDC payments and the 3% protocol fee. Once issued, GYB is planned to be initially non-transferable: sellers would earn locked rewards for measured service, with gradual release and penalties for fraud. It is designed not to reward raw volume. Inference payments remain in USDC. The token has not been issued.
Follow progress on X, explore the protocol, or contribute on GitHub.