5  The Economic Model

EventChain’s economic value is that it removes the ledger tax from the proof substrate. Helios still requires integration, onboarding, governance, and business logic; EventChain keeps the cryptographic evidence layer from forcing every participant into replicated infrastructure. One Hub generates cryptographic proofs on standard web infrastructure. Recipients hold a file. Verification is local: a script that walks the hash chain and checks signatures.

This works because of an asymmetry intrinsic to cryptography: generating a proof requires compute; verifying one requires only the data and trivial processing. EventChain exploits that asymmetry as its economic foundation.

5.1 Marginal Cost: The Architectural Advantage

The marginal cost of adding one more participant or one more event stays low by design:

\[C_{marginal} = I_{hub} + \sum_{i=1}^{N} S_i\]

\(I_{hub}\) is the operating cost of the Hub: standard web infrastructure serving events and computing hashes. \(S_i\) is file storage per recipient. Adding a tenth participant costs the same incremental storage as adding the third: one more copy of a text file.¹

This equation describes proof generation and distribution cost: the operational steady-state once a deployment is running. It does not describe what it takes for Helios to integrate workflows, define event schemas, onboard signers, or establish governance.

flowchart LR
    H[Hub: standard web infra] --> R1[Recipient 1: file + verifier]
    H --> R2[Recipient 2: file + verifier]
    H --> R3[Recipient N: file + verifier]

Figure 5.1: EventChain cost architecture — one Hub generates proofs, N recipients verify locally

5.2 Comparative Infrastructure Cost

Each organisation in an enterprise DLT consortium operates a full infrastructure stack. Each EventChain recipient holds a file.

The Fabric deployment documentation (Hyperledger Foundation 2025) treats each organisation’s stack as a distributed-systems exercise: cluster setup, certificate authorities, MSP identities, peers, ordering nodes, TLS, persistent storage, high availability, disaster recovery, and key management. A conservative estimate places infrastructure cost at roughly $2,500–$10,000 per month per organisation before integration and operational labour. A ten-organisation consortium reaches $25,000–$100,000 per month in Kubernetes infrastructure, and $75,000–$300,000 per month once DevOps, upgrades, security, governance, and integration are included.²

Each additional Fabric participant adds another production infrastructure stack. Each additional EventChain recipient adds a file copy and uses the same open source verifier.

A public-chain design avoids consortium infrastructure but replaces it with gas exposure. Anchoring a single provenance commitment at 100,000 gas costs roughly $4.57 at 20 gwei and $2,286/ETH. One million unbatched events would therefore cost approximately $4.57 million; hourly Merkle-root batching reduces this to roughly $3,290 per month.³

5.3 Total Deployment Cost

Enterprise adoption is not costless. The marginal cost advantage holds at the infrastructure layer, but a credible deployment requires investment that the simplified equation does not capture.

The core economic argument holds: these costs exist once per deployment, not once per participant. A new trading partner adds a recipient configuration.

This model uses directional assumptions rather than a full total-cost-of-ownership calculation. Actual Helios deployment costs depend on event volume, retention requirements, integration complexity, signer count, partner count, and regulatory regime. A deployment-specific TCO requires actual event schemas, partner count projections, and risk-weighted dispute probability.⁴

Recipients do not run consensus algorithms, manage container orchestration, or execute smart contracts. They hold a file and, when doubt arises, run a verifier.

Hyperledger Foundation. 2025. Deploying a Production Network — Hyperledger Fabric Documentation. Https://hyperledger-fabric.readthedocs.io/en/latest/deployment_guide_overview.html.

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1. Enterprise blockchain frameworks take the opposite approach: every organisation runs endorsing peers, ordering nodes, certificate authorities, and state databases. Cost scales multiplicatively with consortium size — \(C_{HL} = \sum_{i=1}^{N}(I_i + D_i)\) — creating a “Consortium Tax” where ten participants means ten redundant stacks executing identical computation.

2. Exact costs depend on cloud provider, node sizing, storage growth, transaction volume, ordering-service design, and whether operations are centralised or distributed across consortium members.

3. These figures assume Ethereum mainnet. All transaction data, gas prices, and contract state are publicly visible — so the provenance record, the cost structure, and the usage pattern are disclosed to every observer on the network.

4. For a comparative view of when each provenance approach, including EventChain, is economically rational, see the solution landscape in Table 4.3.