Public Comment Request: BLD Tokenomics Litepaper

The original Agoric tokenomic design involved a two-token system: BLD and the stable token IST. Since that original design, two major changes have happened to the Agoric ecosystem.

  • First, the development of orchestration radically changes the ability of the Agoric platform to serve the needs of the broader blockchain ecosystem.

  • Second, changes in demand for stable tokens meant that IST was sunset in July 2025.

In this document we are proposing a new tokenomics that ensures chain security and economic efficiency by aligning incentives in the market for BLD as the orchestration economy grows, especially across chains, and drives value to the BLD token and token holders.

We present here for the community, a proposed revision of the Agoric tokenomics. We invite comment and discussion on the proposed changes, which will be considered in revision of the final litepaper. We will leave the discussion open for 10 days. Please comment and share. TIA

[Proposed Litepaper follows]

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Agoric tokenomics litepaper

(version 10 Dec 2025)

The cryptoeconomy has entered its next phase: a multichain economy where value, liquidity, and applications naturally span multiple networks. No single blockchain is the center of gravity anymore.

Agoric’s orchestration allows work to be automated across chains, over time, without forcing users to juggle gas tokens or complex workflows.

Agoric’s orchestration-first model uniquely supports multi-block, multi-chain, asynchronous applications — software that can coordinate actions over time and across ecosystems, all powered by one token.

In this document, we describe the economic characteristics of orchestration, and propose a revamp of BLD tokenomics so that the BLD token and fee model can support long-lived cross-chain contracts and to ensure that BLD directly captures value from orchestration. It provides:

  • Value capture for BLD holders: Orchestration activity and contract operations drive direct demand for BLD, linking token value to network use.

  • Simplicity for users: Instead of unpredictable execution costs, users just pay a clear, predictable postage fee.

  • Developers empowerment: Orchestration enables new applications and flexible business models, whether they come from Web2 or Web3. Agoric’s orchestration-first design enables use cases not possible on other chains.

  • Network sustainability: Contract stakes, gas purses, and the Purser system ensure operations are funded and accountable.

By positioning BLD as the center of the ecosystem and firmly linking it to Orchestration, Agoric is laying the foundation for a more scalable, flexible, and user-friendly network that can drive the growth of the multichain digital economy.

The cryptoeconomics of orchestration

The Agoric L1 supports multi-block, asynchronous programs through a combination of distributed object-capability security, asynchronous message passing, and durable contract execution within the JavaScript runtime. Each smart contract runs in an isolated vat—a deterministic event loop that processes messages and event responses sequentially.

Multi-block behavior emerges naturally because messages between vats are durable and replayable; a contract can send a message to another vat or chain and later receive its response in a future block without halting execution or requiring a new transaction from the user.

Moreover, the implications of this architecture extend beyond the boundaries of the Agoric L1, allowing for interactions across chains and the ability to exercise control over, and interact with remote accounts. This makes the Agoric L1 an enabler of cross-chain economies by reducing frictions while also promoting on-chain secure computing.

Cross-chain orchestration extends this model beyond the local chain. Outbound actions are encoded as IBC packets or routed through bridge adapters (e.g., Axelar, CCTP). The orchestrator manages these remote calls as asynchronous promises; it queues the operation, tracks confirmation or failure, and resumes local logic when results return.

The architecture of the Agoric L1 allows programs to behave like distributed workflows — reacting to events, performing remote operations, and maintaining consistency across chains while remaining fully verifiable and deterministic. The result is a generalized framework for on-chain automation and cross-chain state continuity, built directly into the Agoric platform.

A new fee structure for orchestration

On most blockchains, users pay directly to run contracts. This made sense when contracts and exchanges were limited to just one blockchain at a time. But in a multichain world of increasing institutional adoption, the user-pays model creates serious problems. For example, users must hold gas tokens for every chain and service they touch, just to interact with an app. This shifts all the costs (time, effort, and money) directly on to users, even though contracts and developers are the ones consuming resources and have the specialised capabilities to deal with these costs efficiently. These issues make blockchain apps hard to use and limit their potential scale.

Orchestration introduces an asynchronous fee model that reflects real-world business needs, where users pay postage and contracts pay execution and orchestration fees. This model aligns incentives with Agoric’s orchestration-first architecture — where long-lived, cross-chain contracts power real applications at scale.

The new fee structure is designed to put funding responsibility where it belongs: on the services that consume the resources.

  • Users pay a small “postage” fee to deliver a message, which helps prevent spam

  • Contracts cover the costs of execution and orchestration

Contract fees and purses

The orchestration services used by contracts include:

  • Agoric execution costs such as gas and storage fees

  • Creation of remote accounts to be controlled by the contract

  • Cross-chain transfers such as via CCTP, Axelar, etc.

  • Swaps between tokens, typically executed on remote DEXs

  • Invocation of remote operations, such as invoking an Aave supply operation on a remote account

Contracts pay for these services through a fee account: each contract must pre-fund its fee account for orchestration and gas. Anyone (including DAOs or community funds) can top the fee account up. If that account runs dry, synchronous operations like local execution will continue for a brief (governance determined) period while async operations like remote messages pause.

In addition to the fee account, contracts must also maintain a stake balance (which functions as a performance bond). Synchronous operations executed after the fee account is exhausted temporarily accrue a debt. The debt must be repaid or governance can enforce penalties or slashing against the contract stake. This simplifies resource management and error handling within contracts. Additionally, the system may deploy the funds under stewardship for (low-risk) returns. Yields from contract stakes are treated as additional orchestration fees.

Each remote operation typically requires fees to be paid at the destination (e.g., gas fees on Arbitrum, relayer fees for Axelar). The contract pays those in BLD, and orchestration or intermediate services convert that to the appropriate gas token (see, “Coordination and governance”, below).

The orchestration services charge commission on those remote operation fees. This is an important new source of revenue. For example, as of this writing (2025), an Orchestration transaction to request an Aave supply operation costs less than a penny to execute on Agoric, whereas the remote operation it invokes costs approximately $0.18. Given that many transactions are likely to incur multiple remote operations, a 10% commission on the total fees accrued will be an order of magnitude higher than Agoric chain fees. As a result, the BLD economy taps into the economic value of those other chains.

Figure 1: Sample Transaction

Coordination and governance

This tokenomics design also introduces two critical functions to support the fee account and contract stake and coordinate and facilitate exchanges: stewards and the purser.

· Contract Stewards: Each app has an infrastructure agent, its Steward, which manages its gas fee account and ensures orchestration actions are funded with the right tokens. The contract prepays for services in any allowed token to the Steward, and the Steward converts it to BLD (using local or remote on-chain markets).

· Purser: The Purser is a chain-level infrastructure service for orchestration. It manages fee routing/burning, governance enforcement, and yield on contract stakes. This structure allows iterative upgrades and more sophisticated financial operations.

Governance determines how the fee surplus is disbursed. For example, BLD holders might choose to direct the surplus to a community pool, to burn BLD, to deploy it into defi contracts to earn interest, or to otherwise return reward to BLD stakers. The Purser holds contract stakes, aggregates fees, and implements how network revenues are handled.

Orchestration pricing can be denominated in USD or BLD equivalents. The system dynamically adjusts the BLD amount to maintain stable real-world costs. Over time, as data accumulates, fees are likely to evolve toward market-driven pricing rather than governance-set rates. Governance may also reprice orchestration and gas fees monthly or as needed based on volatility.

Enhanced value capture for BLD

As apps use orchestration, they will require BLD to pay for it, naturally contributing to buy pressure on the BLD token. This creates opportunities for BLD tokenomics to capture further value for BLD, subject to community governance:

  • Steward-managed buybacks or internal swaps may be introduced

  • Fee burns could be used to offset emissions, achieving effective deflation once burn volume exceeds issuance

By directly linking network usage and orchestration activity to staking yield, the tokenomic structure tightly couples BLD demand to the success of applications and captures value through multiple fee flows (see Figure 2 below):

  • Postage fees (paid by users)

  • Execution & storage cost (paid by apps)

  • Orchestration fees (paid by apps, including gas fees for remote and cross-chain operations)

Figure 2: Fee Sources & Routing

This refreshed tokenomics model – including the infrastructure components of Stewards and the Purser – is designed to make Agoric simpler for users, more rewarding for stakers, and more powerful for developers and the network as a whole.

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2 Likes

@ricDCF Team,

While the diagrams illustrate where BLD burning occurs, they do not provide an actual monetary policy or a complete tokenomics framework. After six months of waiting, it is not acceptable that the document still lacks the fundamental components required for a serious and evaluable tokenomics proposal.

The current litepaper mentions burn mechanisms at a conceptual level, but it does not specify:

  • How much BLD is burned,

  • Under what rules,

  • Whether the burn is fixed or dynamic,

  • How burn interacts with staking rewards and inflation,

  • Whether the system targets neutrality, deflation, or controlled inflation,

  • Projected burn volumes under different usage scenarios,

  • The long-term monetary supply trajectory of the network.

Without these parameters, the burn is just a diagram, not an economic policy.

To move forward responsibly, we need explicit, quantitative definitions. At a minimum, the model must include:

1. A fixed maximum supply of BLD: 800 million

A finite supply establishes predictable long-term economics, reinforces market confidence, and aligns with the deflationary potential introduced by orchestration-driven burns.

2. A controlled annual inflation rate: 3%

A modest, stable inflation rate ensures chain security and validator incentives without excessive dilution. This also makes the burn meaningful—since it can offset or even surpass emissions.

3. Clear, formal burn parameters

The current paper only shows illustrative arrows. It must specify:

  • The exact percentage of postage fees burned,

  • The exact percentage of Purser commissions burned,

  • How governance adjusts these values,

  • How the burn interacts with supply caps and reward flows,

  • Modeled outcomes under low/medium/high orchestration activity.

4. Quantitative modeling and scenario analysis

A credible tokenomics design must present numerical simulations showing:

  • Expected annual burn volume,

  • Net supply inflation or deflation,

  • Staking yield projections,

  • Economic sustainability under realistic usage patterns.


Summary

The concepts in the litepaper are promising, but the absence of a defined monetary policy makes the current version insufficient. To properly evaluate and refine the new tokenomics, we need a fully specified framework with:

:check_mark: fixed supply (800M BLD)
:check_mark: defined inflation (3% annually)
:check_mark: explicit burn rules
:check_mark: quantitative modeling

Without these elements, neither governance nor the community can assess the long-term viability of the proposed system.

Please prioritize adding these core components to the next revision.

3 Likes

Thanks for jumping and engaging on this. I agree with your observation that more detail is required to make this reality, but what is presented here is the description of the proposed mechanisms. Many of the parameters of the execution will be the subject of governance actions done in concert with the community. My suggestion would be to evaluate the mechanism and to start thinking about the implementation details – as anyone, including yourself – will be able to put forward proposals that will shape this implementation. (There was, BTW, in the previous post on this topic, a call by one of the Agoric team for community members who could assist with modeling. This seems time to renew that call.) And do please note that these comments aren’t meant to discourage you or minimize your concerns; they are intended to encourage more engagement not only from yourself, but from others. Thank you!

Thank you very much for your thoughtful response and for the openness to community participation. I truly appreciate the clarity and the invitation to collaborate more directly on the implementation details.

Please count on me — I’ve been here since the very beginning, and I have never sold a single BLD token. On the contrary, we continue to invest because we believe deeply in Agoric’s potential.

That is precisely why I think this is the right moment to take firm control of the BLD economic model and guide it toward its maximum potential. The new orchestration era deserves a tokenomics framework that is clear, sustainable, and capable of capturing the full value of cross-chain automation.

I am fully available to join the upcoming call and contribute to the modeling and planning of the tokenomics. I am committed to helping shape a design that strengthens the network, aligns incentives, and positions Agoric for long-term growth.

Looking forward to collaborating closely.
Thank you again for the engagement.

3 Likes

I appreciate the concrete criticisms and asks. There was some discussion about whether to have the approach/mechanism or a proposed policy.

I’m not sure what you mean here with fixed/dynamic

See below.

Deflationary (moderately), eventually.

I want the model to be based on real data, so will be determine from info from Ymax beta.

The current supply already exceeds that. I think a switch to a max fixed supply is only plausible once the burn mechanics are in place and enough is being burned to offset the emissions.

It’s currently 5%. Ric proposed 4% earlier earlier this year, but in discussion, folks preferred separating that parameter change.

We considered several options here, but I think we start simple:

  1. 100% of postage and commissions burned until they exceed emissions
  2. Determine handling fees beyond that once we get close to exceeding emissions
    1. burn e.g., 40%
    2. boost emissons for some time up to e.g., 40%
    3. put the rest in communtiy fund

Governance adjusts the various numver like a normal governance parameters.

I appreciate the specifics on what you’d expect to see.

4 Likes

Strongly encourage those interested in this topic to also check out the blog post we just published today on the DCF website. This is from Prof. Jason Potts and captures what I think is the most interesting aspect of this proposed mechanism – and explains better than I ever could – how it can be leveraged. An Economic Perspective on Orchestration: Profiting From Incompleteness - Decentralized Cooperation Foundation (DCF)

1 Like

Thanks to the team for sharing this and inviting public input. The mechanism design itself is strong — orchestration-first economics, contract-funded execution, and the Steward/Purser model are well aligned with Agoric’s architecture and genuinely differentiated.

I also understand the intent to present mechanisms first and leave parameters to governance once real usage data exists. That’s a reasonable goal.

However, without at least a provisional monetary framework, it’s difficult for the community to engage meaningfully. The concern isn’t about locking in policy prematurely, but about having enough structure to evaluate tradeoffs.

A constructive middle ground would be a clearly labeled, non-binding baseline — for example:

an assumed supply regime,

a nominal inflation range,

illustrative burn splits,

and a few modeled usage scenarios.

Framing these as examples, not commitments would preserve flexibility while enabling higher-quality feedback and more effective governance discussion.

The mechanisms explain how value can be captured; a provisional model helps the community reason about when and under what conditions it actually is. Adding that context would materially strengthen the proposal

2 Likes

In case you missed today’s AMA – here’s a link: https://www.youtube.com/live/MFWl9aDOIYY

1 Like

Thanks for sharing the litepaper and the presentation, I read the forum thread carefully.

One point is still unclear to me about this claim:

As I understand the mechanism, BLD usage here is inherently two sided. Yes, contracts and apps need BLD to fund orchestration and remote operations, which creates direct buy pressure. But at the same time, destination chains require their own gas and relayer fees, so a large portion of that BLD is automatically swapped into external gas tokens to pay those costs.

If most BLD bought for remote fees is immediately sold for external gas, it seems like the sell pressure should be closely correlated with the initial buy pressure, which makes the “linking token value to network use” argument less convincing to me.

What am I missing? Is the intended net BLD demand coming mainly from the commission retained by orchestration, from burns via the Purser, from contracts holding ongoing BLD balances in fee accounts, or from something else in the design?

In other words, where exactly does the asymmetry arise that prevents orchestration-driven BLD demand from being neutralized by the corresponding gas swaps?