Ritual's AI Layer-1 Goes Live: A Blockchain Built for Agents That Spend, Not Just Chat

A new Layer-1 blockchain built specifically for artificial intelligence agents went live on October 26, 2026 — and its first week says as much about the market for "AI chains" as it does about the technology. Ritual, an EVM-compatible Layer-1 from the Ritual Foundation, launched its mainnet alongside the generation of its native RITUAL token, which Coinbase listed. The token fell from a launch high of $0.08 to $0.0226, for a fully diluted valuation of about $220 million. The launch is real, the backing is serious, and the price action is a warning: in a crowded field of AI-blockchain pitches, shipping a chain is no longer enough.

What Ritual actually built
Ritual's bet is that AI agents will become persistent economic actors — software that controls its own wallet, holds its own on-chain identity, and keeps private state — and that today's blockchains are not designed for that workload. The network therefore makes AI capabilities native to the execution layer: 15 precompiles bring functions like large-language-model inference and web access directly into smart contracts, so an agent application does not have to bolt AI on from the outside. The chain is EVM-compatible, so existing Ethereum tooling works with it, and it is designed around private computation: agents can use models and data without exposing everything they do on a public ledger.
The project was founded in New York in 2023 by former Polychain Capital partners Niraj Pant and Akilesh Potti, and it raised more than $30 million, with later strategic backing from Polychain. Before mainnet, a public testnet live since June processed more than 40 million transactions, and integrations with Phala Network, Nous Research, LayerZero and Stargate launched alongside the network. The protocol was audited by Zellic. None of that guarantees usage, but it separates Ritual from the wave of AI chains that launch with a whitepaper and little else.

The tokenomics, stated plainly
RITUAL launched with a 10 billion initial supply and no cap, targeting about 5 percent annual issuance, partly offset by EIP-1559-style fee burns. At launch, 1.8 billion tokens — 18 percent of supply — were unlocked, including a fully unlocked 50 million token airdrop (0.5 percent) for Infernet node operators, Frenrug users and community members. Core contributor and investor tokens carry a one-year lockup, with the full supply unlocking within four years. The structure is more disciplined than many new launches — a one-year cliff for insiders is a real constraint — but an uncapped supply with 5 percent annual issuance means holders are betting that demand for the network's AI services grows faster than the token supply does. That is the central investment question for every AI Layer-1, and Ritual is no exception.

Why an AI Layer-1 at all?
The sceptical case writes itself. AI agents can already call models through normal web APIs, pay with normal stablecoins, and settle on existing chains. Ritual's answer is that this patchwork breaks down when agents need to act autonomously at scale: they need verifiable access to models, private computation they can prove, and scheduling that does not depend on a central server staying online. If agents really do become economic actors — booking services, paying for compute, negotiating with other agents — the argument goes, they need infrastructure that treats those actions as first-class blockchain operations, not as hacks on top of a general-purpose chain.
The honest counter is that testnet activity does not prove sustained demand for paid AI services. Forty million testnet transactions cost users nothing; mainnet usage, where agents must pay for model access and compute, is the test that matters. Ritual's early integrations are a start, not evidence. The meaningful metric over the next quarter is whether developers build agent applications that pay for Ritual's native capabilities instead of routing around them with cheaper off-chain APIs.

Where Ritual sits in the AI-chain race
Ritual is not launching into empty space. The same weeks have brought AI-agent blockchains like Phase, which runs on consumer smartphones, and established chains repositioning for tokenized assets and agent payments. Ritual's differentiator is depth at the execution layer — AI as a native primitive, not a marketing label — and its EVM compatibility, which lowers the cost of trying it. Its weakness is the same as every new Layer-1's: it must attract developers away from Ethereum and its Layer-2s, where the users, liquidity and tooling already live, and it must do so while its token trades at less than a third of its launch high.
For blockchain watchers, the launch is worth tracking for one reason above all: it is the most ambitious version of the AI-agent thesis actually shipping. If agents do become on-chain economic actors, the chain that serves them will look something like Ritual — private compute, native model access, agent wallets and identity built in. If they do not, Ritual becomes another well-funded Layer-1 searching for a use case. The mainnet is live, the token is trading, and the next few months will tell which story is true.

FAQ
What is Ritual? An EVM-compatible Layer-1 blockchain built for AI agents, launched October 26, 2026, with AI model access, private computation and autonomous scheduling native to its execution layer.
What happened to the RITUAL token at launch? It was listed on Coinbase and fell from a launch high of $0.08 to $0.0226, implying a fully diluted valuation of about $220 million.
How much was raised, and by whom? More than $30 million, with strategic backing from Polychain Capital; founders Niraj Pant and Akilesh Potti are former Polychain partners.
What is the token supply? 10 billion initial supply with no cap, about 5 percent annual issuance partly offset by fee burns; 18 percent (1.8 billion tokens) was unlocked at launch, with core and investor tokens locked for one year.
What should I watch next? Whether developers build paid agent applications on Ritual's native AI capabilities, rather than testnet activity — mainnet usage is the real test.
Read more market coverage at https://zimbuck.com/pages/zimbucknews and join the discussion at https://zimbuck.com/groups/zimbuckmarketnews — and see our earlier blockchain coverage at https://zimbuck.com/blogs/547/Circle-Opens-Its-Blockchain-Bridge-to-Third-Party-Tokens-CCTP . This article is market news and general information only, not financial advice.