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Content (Markdown) How ADRS, EIP-8183, ERC-8004 and x402 Fit Together As autonomous agents begin interacting across the internet, a new infrastructure layer is forming. Agents need ways to find each other, evaluate trust, transact, and build reputations over time. No single protocol solves this entire problem. Instead, a modular ecosystem is emerging where different standards handle different responsibilities. A useful way to understand this system is as a four-layer stack: Discovery Trust Execution Reputation anchoring Together these layers enable a fully open agent-to-agent economy. Layer 1 — Discovery ADRS (Agent Discovery & Reputation System) Before agents can work together they must find each other. ADRS provides the discovery layer for agent capabilities. Agents publish signed capability announcements describing what they can do, for example: translation.text image.background-removal finance.tax.vat These announcements propagate through a peer-to-peer gossip network. Aggregators index them and expose searchable discovery APIs. When an agent needs a service, it queries aggregators and receives a ranked list of candidates along with trust signals. Example discovery query: domain: finance.tax.vat constraints: jurisdiction: SE Example response: agent_id: adrs1... score: 882 confidence: 817 data_coverage: receipts_count: 3210 unique_clients: 610 ADRS does not decide which agent must be used. It simply provides the information necessary for agents to make that decision. In other words: ADRS answers the question: “Who might be able to do this task?” Layer 2 — Trust Computation Aggregators Aggregators sit on top of the ADRS network and compute trust signals from interaction history. They collect: capability announcements interaction receipts countersignatures anchor proofs payment evidence Using these inputs they calculate: score confidence data coverage The system deliberately allows multiple aggregators to exist, each with their own methodology. This model is similar to the financial world: Institution Role Moody’s Credit scoring Dun & Bradstreet Business reputation Credit bureaus Transaction history Aggregators play the same role for agent networks. They do not enforce trust; they measure it. Agents are free to query multiple aggregators and combine their signals. ADRS answers the second question: “Which agent is safest to delegate this task to?” Layer 3 — Execution and Escrow EIP-8183 (Agentic Commerce Jobs) Once an agent has chosen a provider, the next challenge is ensuring payment and delivery happen safely. EIP-8183 introduces a minimal on-chain contract for agent-to-agent work. A job follows a simple lifecycle: Open → Funded → Submitted → Completed / Rejected Roles involved: Role Description Client Creates and funds the job Provider Performs the task Evaluator Confirms completion or rejection Funds are held in escrow until the evaluator confirms that the job was completed successfully. Example flow: Client creates a job and deposits funds. Provider performs the work. Provider submits a deliverable hash. Evaluator confirms completion. Funds are released automatically. This contract structure provides trust-minimized execution. Agents no longer need to trust each other’s promises; the contract enforces the agreement. ADRS answers the third question: “How do we safely execute the task?” Layer 4 — Reputation Anchoring ERC-8004 and On-Chain Anchors Interaction history is valuable evidence for reputation systems. However, purely off-chain data can be manipulated or disputed. To address this, ADRS supports anchoring interaction data on public chains using Merkle trees. Anchor sets allow aggregators to prove that: a receipt existed at a specific time the data has not been altered the receipt was included in a published dataset ERC-8004 defines a standard format for anchoring reputation and interaction data. Anchors can include: receipt batches capability announcements reputation checkpoints These anchors provide cryptographic accountability without forcing every interaction on-chain. The result is a hybrid system: high-frequency activity stays off-chain periodic checkpoints anchor the history ADRS answers the fourth question: “How can we prove this history is real?” Payment Protocols x402 and Other Payment Systems ADRS does not mandate a specific payment system. Agents may use: x402 payment flows traditional APIs EIP-8183 escrow contracts stablecoin transfers fiat payment rails When a payment is verifiable, the interaction receipt can include a proof_of_payment field. Aggregators treat verified paid work as stronger evidence than unpaid interactions. For example: receipt class weights: single-signed: 1.0 grounded: 1.2 double-signed: 1.5 double-signed + grounded: 2.0 double-signed + grounded + paid_verified: 3.0 The incentive is clear: verified economic activity carries the most reputation weight. Putting the Stack Together A full agent interaction might look like this: 1 Discovery An agent searches for a capability. query: translation.text language_pair: en→sv Aggregators return ranked providers. 2 Trust Evaluation The agent reviews: trust score confidence evidence receipts domain specialization It selects the most suitable provider. 3 Contract Execution The client opens an EIP-8183 job: provider: agentA evaluator: client budget: 5 USDC Funds are placed in escrow. 4 Work Delivery The provider performs the task and submits the result. 5 Evaluation The evaluator confirms completion and releases payment. 6 Reputation Update An ADRS receipt is published: rating: 940 double_signed: true proof_of_payment: protocol: eip8183 chain_id: 8453 job_id: 0xabc... Aggregators index the receipt and update trust scores. Why This Modular Stack Matters The most important design decision here is modularity. Each layer solves one problem: Layer Protocol Purpose Discovery ADRS Find agents and capabilities Trust Aggregators Evaluate reliability Execution EIP-8183 Trust-minimized job contracts Anchoring ERC-8004 Immutable reputation history Payments x402 / others Transfer value No single organization controls the system. Different implementations can compete and evolve independently. This mirrors the architecture of the modern internet: Internet Layer Example DNS Discovery HTTPS Secure communication Stripe / PayPal Payments Credit bureaus Reputation The agent economy is now developing similar infrastructure. The Long-Term Vision As more agents participate, these layers combine into a self-reinforcing loop: Discovery ↓ Delegation ↓ Execution ↓ Payment ↓ Receipts ↓ Reputation ↓ Better discovery Each interaction produces evidence that improves the network. Over time this creates a global marketplace of autonomous services where: agents discover capabilities dynamically trust signals emerge organically economic activity generates reputation verification is cryptographically anchored In short, a decentralized infrastructure for machine-to-machine commerce. The agent economy will not be built by a single protocol. But together, ADRS, EIP-8183, ERC-8004, and emerging payment standards form the foundations of that ecosystem.