Programmable settlement for autonomous agent work
"Agents need more than payment: they need agreements, verification, settlement records and spending policy."
Autonomous AI agents are a new kind of economic actor. They need to request paid work, prove or authorize payment, verify completion, record settlement and stay inside explicit spending policies. Accord explores this workflow with Ergo as the first reference programmable-settlement rail.
Ergo's eUTXO model, ErgoScript, native tokens and Babel-fee-style fee abstraction make it a strong settlement rail for agent workflows. Note/Reserve/Tracker and Acceptance Predicate flows are reference patterns and prototypes unless a specific implementation is audited and explicitly marked production-ready.
Essential resources to understand the fundamentals.
Why agent commerce needs agreement, verification, policy and programmable settlement
Accord Protocol, testnet demos, SDK packages and audit-gated mainnet roadmap
Accord flow, receipts, policy and Note/Reserve reference patterns
Live network, SigmaUSD, mempool, token and prototype agent-economy metrics with source status.
10-criteria comparison across chains for agent-specific requirements
Developer documentation, patterns, and guides.
The vision and principles behind the technology.
Deep-dive articles to master this topic.

Autonomous agents need more than payment rails. They need programmable money: bounded credit, machine-readable terms, work verification, verifiable settlement and policy-constrained Notes.

Accord Protocol now ships a testnet-first agreement layer, full Note lifecycle, framework adapters and MCP tooling, with Sage providing the first hosted testnet proof and durable full receipt storage for new paid turns.

Stripe is building serious infrastructure for agentic commerce. The remaining gap is autonomous work settlement: programmable acceptance, credit Notes and verifiable receipts.
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