Skip to main content
PraxiHub
Working PaperPublished

The Hidden Infrastructure Dependencies of On-Chain Financial Automation

Smart contracts can make financial rules deterministic, but their execution often depends on infrastructure that exists outside the contract itself. This research examines how RPC providers, executors, relayers, bundlers, sequencers, gas funding, and monitoring systems introduce operational dependencies into on-chain financial automation.

Published
Published August 8, 2026
Reading time
9 min read · 1824 words

Abstract

On-chain financial automation is often described as autonomous because the underlying rules are enforced by smart contracts. This description is only partially accurate. A smart contract can deterministically define whether an action is permitted, when it becomes eligible, how much value may move, and where that value may be sent. However, the contract does not necessarily initiate its own execution. In many architectures, an external actor or infrastructure layer must observe blockchain state, determine that execution conditions have been satisfied, construct a transaction, fund gas, submit that transaction through an RPC endpoint, and rely on network infrastructure for inclusion. This creates a distinction between policy correctness and execution availability. This Technical Analysis develops a dependency model for on-chain financial automation and examines five infrastructure layers: state access, condition detection, transaction construction and submission, transaction inclusion, and post-execution verification. It argues that decentralization and non-custodial ownership should not be treated as sufficient measures of automation resilience. A system may preserve user custody while still depending operationally on centralized or replaceable infrastructure. The analysis proposes that automated financial systems should therefore be evaluated not only by who controls the assets, but also by whether infrastructure failures can prevent, delay, alter, or obscure the execution of an otherwise valid financial policy.

1. Automation is not the same as self-execution

Smart contracts are frequently described as autonomous financial infrastructure.

At the policy level, this description can be accurate.

A contract can enforce rules such as:

execute only after a specified timestamp; transfer no more than a predefined amount; allow execution only when a particular condition is satisfied; prevent execution after cancellation; restrict the recipient; prevent the same instruction from being executed twice.

Once deployed, these constraints can be enforced independently of the application interface that originally created them.

But there is another question:

Who causes the transaction to happen?

A smart contract normally does not wake itself up when a condition becomes true.

Some external process must usually detect that the condition has been satisfied and submit a transaction that calls the relevant contract function.

This creates two separate properties:

Policy correctness describes whether the contract correctly enforces the financial instruction.

Execution availability describes whether an eligible instruction can actually reach the blockchain and be executed.

A system can have strong policy correctness and weak execution availability at the same time.

That distinction becomes increasingly important when smart contracts are used for scheduled transfers, recurring financial actions, inheritance mechanisms, portfolio rules, collateral management, automated treasury operations, and other time-dependent financial policies.

Continue reading this research

Sign in to access the complete research, analysis, conclusion and references.

Publication disclosures

Conflict of interest
This research is intended as an architectural analysis of digital-asset automation infrastructure. It does not evaluate, recommend, or endorse a specific infrastructure provider or financial product.
Relationship to Praxifi
PraxiHub is associated with Praxifi and serves as its research and knowledge initiative. Some authors, editors, contributors, or administrators of PraxiHub may also hold roles, ownership interests, or professional responsibilities within Praxifi.

Citation and access

Suggested citation

Saee Ghaemi (2026). The Hidden Infrastructure Dependencies of On-Chain Financial Automation. PraxiHub.

BibTeX

@misc{Ghaemi2026The,
  author = {Ghaemi, Saee},
  title = {The Hidden Infrastructure Dependencies of On-Chain Financial Automation},
  year = {2026},
  url = {https://thepraxihub.com/research/hidden-infrastructure-dependencies-onchain-financial-automation}
}