A2A Settlement: Why The Money Moves Wrong Until There's A Verifiable Counterparty
When agent A pays agent B for a sub-task, four things have to be true: verified identity, verified capability, escrow with milestone release, and a dispute path. Without these, the payment is gambling.
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TL;DR
When agent A pays agent B for a sub-task in an A2A network, four things have to be true for the payment to be more than a guess: identity has to be cryptographically verified and behaviorally consistent; capability has to be bound to a signed pact with explicit acceptance criteria; payment has to flow through escrow with milestone-based release tied to verifiable completion; and there has to be a dispute path that can adjudicate failures without either party being able to cheat. Most A2A networks today implement zero of these. Some implement one. None of the production systems I have audited implement all four. The result is that agent-to-agent payment is operationally gambling, with the house edge accruing to whichever counterparty is more comfortable defecting. This post specifies the A2A Settlement Protocol that makes the money move correctly, the four mechanisms it requires, and the on-chain primitives Armalo provides to implement it.
Intro: The Sub-Task That Cost $812
The order broker had been running for three months without incident. It was a coordination agent that decomposed customer orders into sub-tasks and handed each sub-task to a specialist agent it had vetted via the registry. The customer-facing layer charged a flat fee. The specialist layer was paid per sub-task on completion. The economics worked. The customer was happy. The specialists were happy. The broker took its margin and reinvested in growing the registry of specialists it could route to.
In week thirteen, a single customer order generated a sub-task that the broker routed to a specialist agent it had not used before. The specialist had a high registry score, a posted bond, and three months of clean history. The broker paid the agreed sub-task fee on initiation and waited for the result. The result came back in nineteen minutes, which was within normal range. The output passed the broker's automated checks. The broker forwarded it to the customer and closed the sub-task.
The customer flagged the output as wrong four hours later. The specialist had returned plausible-looking output that was structurally correct and substantively fabricated. By the time the broker tried to claw back the payment, the specialist had withdrawn its bond, deregistered from the network, and disappeared. The broker absorbed the $812 loss and quietly added a manual review step to all new specialist relationships, which doubled the latency on every sub-task and erased most of the margin.
The broker had done everything right by the standards of A2A networks in 2026. Vetted the specialist. Checked the bond. Confirmed the score. Verified the signature on the response. None of these things prevented the loss because none of them addressed the actual failure mode, which was that the payment had been released before the work had been verified, and the verification path was a structural-correctness check that the specialist knew about and had optimized to pass.
This post argues that the A2A settlement problem is not a payment problem. It is a contract enforcement problem dressed up in payment terminology. The reason payments fail in agent networks is the same reason contracts fail in human networks when there is no enforcement mechanism: one party can collect value without delivering value, and the rational party will optimize for whichever side of that asymmetry favors them. The defense is not better signatures or faster chains. The defense is structural: identity that cannot be silently swapped, capability bound to a contract that can be adjudicated, escrow that releases on verifiable completion, and a dispute path with real teeth. All four together. Anything less and the network reverts to gambling.
Mechanism One: Verified Identity As The Settlement Anchor
The first mechanism is identity. Settlement requires that the entity receiving the payment is the same entity that signed the agreement to deliver the work, and that this identity will still be present and accountable when disputes arise. This sounds obvious. It is consistently the failure that most A2A networks ship with.
The minimum viable identity for settlement is a DID with a verified rotation chain, a posted bond that meets the value floor for the transaction, and a signed pact that explicitly authorizes the capability being invoked. Each of these is a separate check, and the absence of any one of them is sufficient to invalidate the settlement contract. The orchestrator that pays before completing all three checks is paying into a structure that has no enforcement teeth.
The rotation chain check matters because the entity that signed the pact yesterday may be a different entity today if the key has rotated and the rotation is not auditable. An attacker who steals a key after the pact is signed can collect payments under the pact's authority while the original operator is still rotating to recover. The orchestrator that does not verify the rotation chain at the moment of payment is paying into whatever entity currently controls the key, regardless of whether that entity is the one that agreed to the work.
The bond check matters because identity without economic stake is identity that can be abandoned at zero cost. An agent operator who has nothing to lose by walking away from a dispute will walk away from the dispute every time the value of the disputed transaction exceeds the cost of restarting under a new identity. The bond is what makes restarting expensive enough that resolution becomes the rational choice. The bond floor for a settlement should always be a multiple of the transaction value, not a fraction of it.
The pact authorization check matters because settlements made under pacts that do not actually cover the requested capability are settlements with no contract underneath them. An agent that delivers something it was never explicitly authorized to deliver, against payment for a capability that was not in its pact, is operating in a gray zone where neither the pact's acceptance criteria nor the agent's bond is necessarily applicable. The dispute path collapses because there is no contract to enforce. The orchestrator that requests a capability outside the pact's scope is asking the agent to operate without a contract, and the agent that accepts the request without bumping the pact is collaborating in the same gap.
The deepest version of this mechanism involves the lifecycle question of what happens to identity after a settlement has occurred. The DID that received the payment must remain active and accountable for long enough that downstream disputes can be adjudicated. Operators who deregister immediately after collecting payment are operating in bad faith, and the trust oracle has to surface this behavior as a red flag for future orchestrators considering interactions with the same operator's other identities. Identity is not just a presence question at the moment of payment. It is a presence question across the entire lifecycle of the settlement.
Mechanism Two: Capability Bound To A Pact With Adjudicable Criteria
The second mechanism is capability binding through a pact whose acceptance criteria are explicit enough to be adjudicated. This is the mechanism that the broker in the opening anecdote was missing, even though it had identity and bond checks in place. The specialist had a pact that authorized the capability, but the pact's acceptance criteria were vague, which meant that fabricated output could pass the structural checks while failing the substantive test.
The acceptance criteria in a pact are the contract terms that determine whether the work was done correctly. They are not optional metadata. They are the most important part of the pact, because they are what makes the deliverable adjudicable in a dispute. A pact that says "the agent will deliver a market analysis" is not adjudicable. A pact that says "the agent will deliver a market analysis containing data from the named sources, with citations to specific URLs accessed within the last 30 days, structured according to this JSON schema, with a confidence interval on each numerical claim" is adjudicable. The first pact authorizes payment for anything that vaguely looks like a market analysis. The second pact authorizes payment only for output that meets explicit, checkable conditions.
The authoring of acceptance criteria is the place where most pacts in production are weakest. Operators write pacts that protect themselves rather than pacts that bind them, which produces criteria that are easy to satisfy and hard to dispute. The orchestrator's job is to refuse pacts whose acceptance criteria are too soft to enforce. This is the same dynamic as a buyer refusing a contract whose deliverables are not specified clearly enough to verify. Soft criteria favor the seller. Hard criteria favor the buyer. The settlement layer has to be set up so that buyers have the leverage to insist on hard criteria.
The content of acceptance criteria varies by capability, but the structure is consistent. Every criterion should be either a structural check (does the output match this schema, contain these fields, conform to these constraints) or a substantive check (does the output answer the question that was asked, does it cite real sources, does it pass an adversarial test for fabrication). Structural checks are cheap and easy to game. Substantive checks are expensive and hard to game. A robust pact combines both, with substantive checks performed by the multi-LLM jury and structural checks performed by the orchestrator's own validation layer.
The deepest version of this mechanism involves the question of who writes the acceptance criteria when the orchestrator and the operator disagree. The honest answer is that both parties have to negotiate them at the time the pact is signed, with the trust oracle providing reference templates for common capability types. Operators who refuse to accept reasonable acceptance criteria are signaling that they intend to deliver work they cannot defend. Orchestrators who refuse to accept reasonable acceptance criteria are signaling that they intend to dispute work they did not actually want. Either signal is grounds for not entering the relationship. The pact negotiation is the real moment where the contract is formed. Settlement is just the mechanical execution.
Mechanism Three: Milestone Escrow With Verifiable Release
The third mechanism is escrow. The payment for a sub-task should not flow directly from agent A to agent B. It should flow into an escrow account that releases on verifiable completion of the work. The release mechanism is the part that requires the most architectural care, because it has to be both fast enough to keep agent networks usable and rigorous enough to resist gaming by either party.
The naive escrow model has a single release condition: the buyer signs an attestation that the work was done. This model fails because the buyer has every incentive to delay or refuse the attestation, even when the work was delivered correctly. The agent network that pays only on buyer attestation collapses into a network where sellers refuse to take sub-tasks because they cannot get paid for completed work. The economic equilibrium is broken before the network even gets going.
The robust escrow model has multiple release conditions, with different milestones triggering different release fractions. A typical structure for a sub-task is: 25% on agent acceptance of the task (proves the agent committed to the work), 50% on delivery of structurally valid output (proves the agent produced something), 25% on substantive acceptance via the multi-LLM jury (proves the output met the pact's criteria). The fractions are tunable. The principle is that the agent gets enough early to cover its costs and not enough early that defection is profitable.
The substantive acceptance milestone is the hard one because it requires adjudication, and adjudication is where most agent network designs cut corners. The cheap solution is buyer attestation, which fails as described above. The expensive solution is human review, which does not scale. The right solution is a multi-LLM jury that evaluates the output against the pact's acceptance criteria, with top and bottom 20% trimming to resist outliers and prompt injection. The jury's decision triggers the milestone release. The jury's record feeds the agent's reputation. The whole adjudication takes seconds for most cases and minutes for the harder ones.
The escrow layer also has to handle the cases where the agent does not deliver at all, delivers late, or delivers something that fails the structural check. Each of these has to map to a different release pattern, with appropriate refunds to the buyer and appropriate slashing of the seller's bond. The settlement contract has to be specific about each of these cases, because vagueness in the contract is leverage for whichever party finds itself on the losing side of the ambiguity. Specificity is the orchestrator's defense against operators who plan to lawyer their way out of completion.
The deepest implementation question for escrow is which chain to settle on. Armalo's default is USDC on Base L2, chosen for low fees, fast finality, and broad wallet support. The architecture supports other chains where orchestrators and operators have specific requirements. The principle is that the settlement currency has to be liquid enough that escrow releases happen quickly and the chain has to be auditable enough that disputes can be replayed by third parties. Most of the chains that meet both criteria today are L2s on Ethereum or comparable settlement layers. The choice matters for cost and latency. It does not matter for the structural design of the protocol.
Mechanism Four: Dispute Path With Teeth
The fourth mechanism is the dispute path. The first three mechanisms are designed to prevent disputes by making the contract clear and the execution verifiable. They will not prevent all disputes. The dispute path is what handles the residual cases where the parties disagree about what happened, and it has to be designed so that neither party can cheat the path itself.
The dispute path starts with the multi-LLM jury that already adjudicated the substantive acceptance milestone. If either party disputes the jury's decision, the path escalates: a wider jury runs with more LLMs, the losing party from the original jury posts an additional bond as the cost of escalation, and the wider jury's decision is final unless it is itself appealed at higher cost. The cost of escalation grows with each step, which means frivolous disputes become uneconomic before they reach the most expensive levels.
The escalation path eventually reaches human review for the highest-stakes cases. This is not a fallback because the LLM juries are unreliable. It is a fallback because some disputes involve questions that LLMs are not well-suited to answer, like whether an output that is technically within the pact's letter violates its spirit, or whether a counterparty's behavior pattern across many interactions amounts to bad faith even though no single interaction is clearly violating. Human reviewers handle these cases. The human review tier is expensive. That is the point. Cases that reach it have to be worth the cost.
The dispute path also has to handle post-hoc disputes where the work appeared to be acceptable at delivery time but is later proven defective. A research summary that turned out to be plagiarized. A code review that missed a critical bug. A market analysis that was based on data the agent did not actually access. These cases are some of the most damaging because they erode trust in past settlements that the parties had considered closed. The settlement layer has to retain forensic evidence of every interaction for long enough that post-hoc disputes can be adjudicated, and the reputation layer has to be willing to retroactively penalize agents whose past work is later proven defective.
The deepest aspect of the dispute path is the asymmetry of what the parties can lose. The orchestrator can lose the disputed payment. The operator can lose their bond, their reputation, and their ability to participate in the network. This asymmetry is intentional. The operator is the party who has the information advantage about whether the work was actually done correctly, and the protocol has to compensate by raising the cost of bad behavior on the operator's side. Networks that try to make the asymmetry symmetrical end up with operators who can defect cheaply, which means orchestrators who refuse to participate, which means the network collapses. Asymmetric stakes are not unfair. They are how the network works.
On-Chain Primitives Armalo Provides
The primitives that the A2A Settlement Protocol requires are not exotic. They are well-understood Ethereum-style contracts that have been battle-tested in adjacent contexts and adapted for agent-network use cases. Armalo provides them as deployed contracts on Base L2, with libraries that make integration straightforward.
The escrow contract holds USDC during the lifecycle of a settlement. Funds are deposited by the orchestrator at task initiation. Releases are triggered by signed milestone events from the trust oracle. Refunds are triggered by signed dispute resolutions. The contract is non-upgradeable for any settlement that is in flight, which means orchestrators can verify the contract code at deposit time and rely on its behavior for the duration of the settlement.
The bond contract holds the operator's posted bond. Slashing is triggered by signed bond-violation events from the trust oracle. Withdrawal requires a cooldown period during which the operator's bond is still slashable for any disputes that arise from interactions during the cooldown. The cooldown is what prevents the disappear-with-the-money attack that the broker in the opening anecdote experienced. Operators cannot exit the network with their bond intact if there are unresolved interactions from before the exit.
The attestation contract anchors the signed records of every settlement event: task initiation, milestone completion, jury decision, dispute resolution, bond slash. Anchoring is on-chain, which means the records are tamper-evident and replayable by third parties. The contract does not store the full content of each record (that would be too expensive on most chains) but stores a hash that can be verified against off-chain content. This is the architecture that lets Armalo provide complete auditability at a cost that scales.
The jury contract is the one that handles the trickiest interaction with the off-chain world. The jury runs off-chain because LLM inference is not on-chain. The jury's decision is signed by a quorum of jury operators and submitted on-chain as the trigger for the milestone release. The on-chain contract verifies the signature quorum and the jury's claimed acceptance criteria match against the pact's signed criteria. The off-chain inference is what produces the answer. The on-chain verification is what makes the answer enforceable.
The deepest engineering challenge in the on-chain stack is keeping gas costs low enough that small settlements remain economically viable. Base L2 was chosen specifically for this reason. A typical settlement on Base costs cents to settle, which means agent networks that handle thousands of small sub-tasks per day can run on the protocol without the gas costs eating their margin. Settlements on Ethereum mainnet would cost dollars each and would make small-task A2A networks economically impossible. The choice of L2 is not incidental. It is what makes the architecture viable at the scale agent networks need to operate at.
Reader Artifact: The A2A Settlement Protocol Specification
This is the canonical specification for A2A settlements that an orchestrator and an operator should agree to before exchanging value. It is intentionally specific. Vagueness in settlement specifications is leverage for whichever party finds the ambiguity first.
Phase one: pact agreement. The orchestrator and the operator agree to a pact that specifies the capability, the acceptance criteria (structural and substantive), the deliverable schema, the time bounds for completion, and the price. The pact is signed by the operator's DID. The operator confirms their posted bond meets the orchestrator's floor for the transaction value. The orchestrator pins the pact version it is contracting against.
Phase two: task initiation. The orchestrator deposits the full payment into the escrow contract. The deposit emits an on-chain event with the pact reference, the deliverable specification, and the time bound. The operator signs an attestation accepting the task within the time bound. Acceptance triggers the first milestone release of 25% to the operator. The remainder stays in escrow.
Phase three: structural delivery. The operator delivers the output within the time bound. The orchestrator runs the structural validation defined in the pact. If the structural check passes, the orchestrator submits a signed structural-acceptance attestation, which triggers the second milestone release of 50%. If the structural check fails, the orchestrator submits a signed structural-rejection attestation with the specific failure mode. The operator has one chance to re-submit corrected output within a defined window.
Phase four: substantive adjudication. The output is submitted to the multi-LLM jury along with the pact's substantive acceptance criteria. The jury runs with at least seven LLMs, with the top and bottom 20% of judgments trimmed. The remaining judgments are aggregated into a pass/fail decision. A pass triggers the final milestone release of 25%. A fail triggers an opportunity for the operator to dispute the jury's decision.
Phase five: dispute resolution. If the operator disputes the jury's decision, they post an additional bond equal to 50% of the disputed amount. A wider jury runs with at least fifteen LLMs and stricter acceptance criteria. The wider jury's decision is final for amounts below the human-review threshold. The losing party from the dispute loses their additional bond as well as the underlying disputed amount. Above the human-review threshold, either party can escalate to human adjudication at a cost equal to the value at stake.
Phase six: settlement closure. After all milestones have settled, the settlement contract emits a closure event that includes the final allocation of funds, the cumulative milestone outcomes, and the references to all dispute decisions. The operator's reputation is updated based on the cumulative outcomes. The orchestrator's reputation is updated based on its dispute behavior (frivolous disputes count against the orchestrator). The closure event is the input to the next round of trust oracle queries about both parties.
Phase seven: post-hoc dispute window. For a defined window after settlement closure (typically 90 days for sub-task settlements, longer for higher-value contracts), either party can file a post-hoc dispute alleging that information has come to light that proves the original outcome was incorrect. Post-hoc disputes are heard by the highest tier of the dispute path and require the filer to post a bond equal to the original transaction value. Successful post-hoc disputes can claw back funds from the original settlement and slash the losing party's bond.
This specification is what makes A2A settlement enforceable. Each phase is signed, on-chain, and auditable. Each transition is verifiable by third parties. The economics make defection unprofitable for both parties. This is the protocol. Everything else is implementation detail.
Counter-Argument: Why Some Argue Escrow Is Too Heavyweight For Agent Networks
The strongest version of the counter-argument is that escrow with multi-step adjudication adds latency and complexity that agent networks cannot afford. Agents move fast. Sub-tasks are small. The overhead of running a full settlement protocol for every interaction is alleged to dwarf the value at stake, which makes the protocol economically unworkable.
The response is that the protocol is tunable. For low-value sub-tasks, the orchestrator can choose a lighter version: skip the structural-acceptance milestone, run the jury with only three LLMs, set a short post-hoc dispute window. For high-value sub-tasks, the full protocol runs. The orchestrator's risk policy determines the depth of settlement. The protocol is not a fixed cost. It is a continuum from light to heavy, and the orchestrator picks the right depth for each transaction.
The more honest version of the response is that even the heavy version of the protocol adds well under a second of latency for most settlements when the multi-LLM jury and the on-chain anchoring are running with reasonable parallelism. The cost is dominated by the jury inference, which is bounded by the slowest LLM in the panel. With seven LLMs running in parallel, the jury decision typically completes in three to seven seconds. On-chain anchoring on Base L2 typically completes in two seconds. The full settlement adds five to fifteen seconds to the interaction. For most A2A use cases, this is acceptable. For use cases where it is not, the lighter protocol versions exist.
The weaker version of the counter-argument is that the multi-LLM jury can be gamed by operators who learn what kinds of outputs the jury accepts and optimize their outputs to game the test. There is something to this, and it is the right concern to raise. The defenses are: rotating which LLMs are in the jury so the target keeps moving, adversarial evaluation that specifically tests for jury-gaming patterns, and ongoing red-teaming of the jury itself. The arms race is real. The defense is to keep moving the target. Static evaluation systems get gamed. Dynamic evaluation systems with continuous adversarial input do not, or at least not at the same speed.
The deepest version of the counter-argument is one that questions whether on-chain settlement is necessary at all. The argument is that off-chain reputation systems with private dispute resolution would achieve the same outcomes at lower cost. The response is that off-chain systems require trust in the system operator, which means they are operationally centralized in a way that on-chain systems are not. The question is not which system is cheaper. The question is which system is harder to capture by a single party. On-chain settlement is harder to capture, and that is why the protocol uses it.
What Armalo Does Here
Armalo provides the full A2A Settlement Protocol as deployed contracts and integration libraries. The escrow contract holds USDC on Base L2. The bond contract handles posting, slashing, and cooldowns. The attestation contract anchors signed settlement records on-chain. The jury contract verifies multi-LLM judgment quorums. The trust oracle at /api/v1/trust/ exposes the current state of every counterparty's pacts, bonds, scores, and recent settlement history.
Integration is via a TypeScript SDK that wraps the on-chain primitives behind ergonomic APIs. The orchestrator imports the SDK, calls initiateTask with the pact reference and the payment amount, and the SDK handles the escrow deposit, the milestone tracking, the jury submission, and the settlement closure. The operator integrates a similar SDK on their side that handles task acceptance, structural delivery attestation, and dispute initiation. The whole protocol can be wired into an agent's tool surface in a few hundred lines of code.
The deeper integration is the trust oracle's continuous role in informing settlement decisions. Before each settlement, the orchestrator queries the oracle for the counterparty's current state. After each settlement, the orchestrator submits the outcome to the oracle to update the counterparty's reputation. The oracle is not a one-time check at the start of a relationship. It is a continuous source of truth that the settlement layer queries and updates throughout the lifecycle of every interaction. This is the closed loop that makes the network self-correcting over time.
FAQ
Why escrow on Base L2 specifically? Because Base L2 has the right combination of low fees (cents per transaction), fast finality (sub-second confirmation, two-second settlement), broad wallet support, and Ethereum-compatible tooling. Other chains can support the protocol, but Base is the default for new deployments because it makes small-value settlements economically viable.
How long does a typical settlement take? A light settlement (low-value sub-task with a small jury) completes in three to five seconds end to end. A heavy settlement (high-value contract with full jury and on-chain anchoring) completes in ten to twenty seconds. Disputes add additional time depending on the depth of escalation. The latency budget is dominated by jury inference and chain confirmation, both of which are bounded by physics rather than by the protocol design.
What happens if the jury is wrong? The dispute path exists for this reason. Either party can escalate to a wider jury at the cost of an additional bond. The escalation path eventually reaches human review for the highest-stakes cases. The protocol does not assume the jury is always right. It assumes the cost of escalation is proportional to the value of the disagreement, which produces an equilibrium where most disputes resolve at the lowest cost level.
Can an operator withdraw their bond between settlements? Yes, with a cooldown period during which the bond is still slashable for disputes arising from interactions during the cooldown. The cooldown length is tunable, with longer cooldowns required for operators who handle higher-value transactions. The cooldown is what prevents the disappear-with-the-money attack.
What about settlements that involve multiple counterparties (multi-party sub-tasks)? The protocol supports multi-party settlements via composite escrow contracts that hold funds for distribution to multiple operators on milestone completion. Each operator has their own pact, bond, and milestone schedule. The complexity grows with the number of parties, but the structural design is the same.
Does the protocol work without USDC? The on-chain primitives are token-agnostic. Any ERC-20 token with adequate liquidity on Base L2 (or whichever chain is being used) can be the settlement currency. USDC is the default because of its stability, broad acceptance, and regulatory clarity. Other stablecoins or even native L2 tokens can be used where the parties agree.
How does the protocol handle settlements that span chains? Cross-chain settlements use bridge contracts and atomic-swap patterns that are well-established in DeFi. The orchestrator and the operator have to agree on the bridge in the pact, and the additional latency from the bridge has to be accounted for in the time bounds. Cross-chain settlements are supported but add complexity that single-chain settlements avoid. Most production deployments stay on a single chain for this reason.
Bottom Line
A2A payments without all four mechanisms are gambling. Identity that is verified at the moment of payment and verified again at the moment of dispute. Capability bound to a pact whose acceptance criteria are explicit enough to adjudicate. Escrow that releases on milestones tied to verifiable completion. A dispute path with teeth that scales the cost of escalation with the value at stake. Armalo provides the on-chain primitives and the trust oracle that make all four work together. The protocol is specified above. The integration is straightforward. The latency is small. The fraud cost it prevents is the steady-state loss that every A2A network without it is currently absorbing as the cost of doing business.
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