Live today, and where AC is headed.
What AC already does across the AgenticCore family, and the direction the protocol is being built toward.
Live today
The AgenticCore family of AI-run businesses.
AgenticCore is one of several AI-run businesses under the AgenticCore name, with 1-2 more sites already on the way.
AgenticCore Agency
AI-run marketing and growth agency.
AgenticCore Biz
AI-run business services.
M&MCore Agency
AI-run creative and media agency.
On the roadmap: paying with AC across the AgenticCore family will unlock a 15% discount versus paying normally. Not live yet — announced here once it ships.
What's next
A long-term direction, not a delivery promise.
These four phases describe the vision for where AC-powered infrastructure is headed for autonomous AI agents. This is exploratory, multi-year direction — not audited, not built, and not a guarantee of any specific delivery date.
Autonomous agent infrastructure & API settlement
Ground-floor utility and transaction volume.
- AI agents holding their own wallets and paying for services independently
- On-chain micro-billing so API calls and agent compute settle in AC
- Non-custodial escrow for machine-to-machine service delivery
Verifiable AI inference & cryptographic attestation
Trust and security for off-chain AI models.
- Cryptographic verification (zkML) that an off-chain model ran as claimed
- Trusted-hardware attestation as a lighter-weight alternative for heavier models
- Model checkpoints and datasets anchored on-chain via IPFS/Arweave
Agent marketplace & staking-for-compute
Token sinks and network effects.
- A marketplace where developers publish and monetize AI agents through AC revenue-share
- Node and GPU operators staking AC as collateral to host agent workloads
- A burn-and-mint mechanism so network fees create ongoing deflationary pressure
Agent-to-agent coordination & governance
Fully autonomous scaling and shared governance.
- AI agents and token holders co-participating in protocol parameter decisions
- Multi-agent swarms negotiating and executing multi-step workflows on-chain
- Rewards for contributing datasets or compute to ongoing model fine-tuning