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Stablecoin cross-border payments demonstrate enormous potential. The cost of traditional international wire transfers can reach 40-50 USD, while stablecoin network fees are usually less than 1 USD.
However, the final fee composition is complex, like an opaque “black box”. This situation is the core pain point hindering its large-scale adoption.
Smart contracts provide the key technology for achieving complete fee transparency. It codifies charging rules and executes them automatically, enabling the construction of a clear and predictable payment framework. In response to the industry’s call for the “handling fee transparency initiative”, exploring the full technical implementation path from architecture design to frontend display is crucial.

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Although stablecoin on-chain transfer fees appear low, the total cost users actually pay is far more than that. A “black box” composed of multi-layer fees is quietly operating, not only increasing users’ actual expenses but more seriously shaking the trust foundation of the payment ecosystem.
When users conduct a complete stablecoin cross-border payment, they usually encounter a complex fee chain. These costs are often hidden in the final exchange rate or service fees, and can be specifically broken down into the following levels:
For example, Ethereum and TRON networks are the two most commonly used for USDT, but their fee structures are completely different.
| Feature | TRC-20 (TRON) | ERC-20 (Ethereum) |
|---|---|---|
| Transaction Fee | Lower, usually less than 2 USD | Higher, may exceed 50 USD during network congestion |
| Transaction Speed | Faster, usually completed within one minute | Slower, may take several minutes when busy |
The core advantage of stablecoins lies in 7x24 availability and near-instant settlement. However, fee opacity has become a “stumbling block” for these advantages. When users cannot obtain an exact and clear fee breakdown before payment, every transaction feels like a “blind box” experience.
This uncertainty is particularly fatal in cost-sensitive B2B trade and merchant settlement fields. Enterprises cannot perform precise cost accounting and cannot provide stable quotes to their customers.
Worse still, users may directly suffer losses due to system issues. For example, on a decentralized exchange (DEX), a failed transaction may still consume tens or even hundreds of USD in Gas fees, yet the user receives no tokens. This poor experience can quickly destroy user trust in the platform. It is precisely because of seeing these pain points that even large financial institutions like JPMorgan (JPM Coin) are actively exploring how to build cost-controllable and highly transparent internal settlement networks, which is enough to show that solving fee transparency is an industry consensus.
Facing the trust crisis brought by the fee “black box”, smart contracts provide a fundamental solution. It no longer relies on unilateral promises from platforms but builds trust on public and verifiable code through technical means, powerfully responding to the fee transparency initiative.
The core value of smart contracts lies in transforming complex charging rules into computer programs. Developers can directly write protocol terms such as service rates, tiered pricing, and network cost compensation into code and deploy it on the blockchain.
This mechanism achieves “Code is Law”. Once deployed, the contract will strictly execute according to established logic automatically, eliminating the possibility of human intervention or post-modification.
For example, a payment contract can be set to: upon receiving a payment, automatically transfer 99% of the funds to the recipient and 1% to the service fee address. The entire process is driven by code; when preset conditions are met, the contract code automatically triggers and precisely executes fund allocation. Although overly complex rules increase execution costs (Gas fees), for the vast majority of payment scenarios, this automation mechanism is sufficient to ensure fairness and transparency in fee calculation.
Smart contracts not only automate the charging process but, more importantly, permanently record every transaction execution detail on the blockchain. This is equivalent to providing all participants with a public, unified, and tamper-proof “super ledger”.
Every payment and every fee deduction generates a unique transaction record. Users and merchants no longer need to rely on bills provided by the platform; they can independently verify at any time through public tools.
This thorough transparency rebuilds user trust and is the most solid technical cornerstone for implementing the fee transparency initiative.

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Theory landing requires a clear technical path. Transforming the transparency advantages of smart contracts into user-perceptible experiences requires collaborative design from backend contract architecture to frontend user interfaces. The following three major technical paths together form the core skeleton of a stablecoin transparent payment system.
“Payment Router” is a core smart contract that acts as the center for fund processing and allocation. When a user initiates a payment, funds do not go directly to the recipient but first enter this router contract, which performs automated processing according to preset rules.
The contract’s core logic is divided into two steps: fee calculation and fund allocation.
Oracles act as a bridge between blockchain and the real world. It securely obtains real-time Gas prices from off-chain (such as major exchanges) and provides them to the smart contract. The contract calculates the total fee for this transaction based on this price and preset service rates (such as fixed 1% or tiered rates).
distribute function, funds are allocated according to preset percentages.A simplified payment allocation function might look like this:
// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;contract PaymentRouter {
address payable public recipient; // Recipient address
address payable public feeAddress; // Service fee address
uint256 public feePercent; // Service fee percentage// ... constructor and other settings ...
function processPayment(uint256 totalAmount) external {
uint256 fee = totalAmount * feePercent / 100;
uint256 paymentToRecipient = totalAmount - fee;
// Allocate funds to recipient and service fee address
recipient.transfer(paymentToRecipient);
feeAddress.transfer(fee);
}}
Some payment service providers (such as Biyapay) are actively exploring such payment router contracts, aiming to solidify fee rules through technical means and provide users with a trustless, fully transparent payment environment.
Although payment router contracts achieve fee transparency, if deployed on Layer 1 networks like Ethereum mainnet, high and unstable Gas fees remain a huge obstacle. To solve this, building the payment system on Layer 2 networks becomes an inevitable choice.
Layer 2 is a scaling solution built on Ethereum mainnet, with the core goal of “faster and cheaper”. Mainstream Layer 2 solutions, such as Arbitrum and Optimism, as well as the sidechain solution Polygon, significantly reduce costs through a technology called Transaction Batching.
How It Works: Layer 2 networks pack hundreds or even thousands of users’ independent transactions off-chain into a batch, then submit this “compressed” data as a single transaction to Ethereum mainnet. What originally required paying Gas fees hundreds of times now only requires one payment, shared by all users.
This mechanism brings obvious advantages:
By combining transparent contract logic with low-cost Layer 2 networks, a payment system that balances transparency and economy truly becomes reality.
Backend transparency ultimately needs to be intuitively presented to users through the frontend interface. An excellent frontend design is the “last mile” connecting technical implementation and user trust. Its core principle is to achieve “What You See Is What You Pay”.
To achieve this, the payment application’s frontend needs to call API interfaces before user payment confirmation to estimate and display all fee details in real time.
web3.js etc., or call APIs provided by blockchain nodes (such as Aptos’s /v1/estimate_gas_price endpoint), to obtain current optimal network fee estimates.| Fee Item | Amount (USD) | Description |
|---|---|---|
| Payment Amount | 1000.00 | The amount you want the recipient to receive |
| Network Fee (Gas) | 0.52 | Fee paid to blockchain miners/validators |
| Service Fee (1%) | 10.00 | Service fee charged by the platform |
| Total | 1010.52 | The total amount you need to pay |
This design completely opens the complex fee “black box”. Before clicking the “Confirm” button, users can clearly see where every cent they pay goes. The success of neobanks like Revolut and Monzo is largely due to their adherence to transparency principles in user experience. In the stablecoin payment field, platforms like Biyapay are also committed to achieving such clear fee display, providing users with pre-transaction cost prediction and post-transaction traceable billing full-process transparency experience, which is becoming a key standard for measuring whether a payment platform is trustworthy.
Although smart contracts provide a powerful technical framework for fee transparency, the road to an ideal payment system is still full of challenges. Developers must face potential technical risks and actively explore cutting-edge technologies to build a secure future payment network that also considers privacy.
The reliability of transparent payment systems highly depends on the security of its underlying components, with oracles and smart contract code being the two most critical links.
First, oracles are the system’s “Achilles’ heel”. Payment router contracts rely on oracles to obtain real-time Gas prices. If the oracle is controlled by a single centralized entity, it constitutes a single point of failure. The entity may suffer attacks, face technical downtime, or even be maliciously manipulated. Attackers can use flash loans etc. to temporarily pump or dump asset prices on illiquid exchanges, tricking the oracle into reporting wrong data. Such attacks have caused huge losses, for example, the 2022 Mango Markets attack resulted in 117 million USD in asset losses.
Second, smart contract code vulnerabilities are equally fatal. Common vulnerabilities include:
Even if contracts are audited, risks cannot be completely eliminated. Security is an ongoing process that requires developers to integrate automated tools for vulnerability detection throughout the development cycle and establish a security-first development culture.
Current transparency solutions expose all transaction details publicly, which may leak sensitive information in some business scenarios. The future development direction is to find a perfect balance between transparency and privacy, and Zero-Knowledge Proofs (ZKPs) technology provides this possibility.
ZKPs are cryptographic tools that allow one party (prover) to prove to another party (verifier) that a statement is true without revealing any specific information.
Simply put, payment systems can use ZKP to prove to the network: “the payer has sufficient funds to complete this payment”, but without exposing the payer’s identity, account balance, or specific transaction amount.
This “selective disclosure” mode brings huge imagination space:
By combining ZKP technology, future stablecoin payment systems will achieve a new “privacy transparency” state: absolute transparency in rule execution and strong privacy protection for users’ sensitive data. This not only solves current technical challenges but also paves the way for stablecoin applications in broader fields.
Smart contracts are the most effective technical weapon in responding to the fee transparency initiative. Through codification, automation, and verifiability, it fundamentally solves the trust issue in stablecoin payments. The technical paths proposed in this article—payment routers, Layer 2 optimization, and clear frontends—provide a practical blueprint for building the next generation of fair and efficient cross-border payment networks.
Developers and payment service providers should actively adopt such transparency solutions. This is not only a response to the fee transparency initiative but also a key step in jointly promoting the maturity of the stablecoin payment ecosystem and winning mainstream market trust.
Smart contracts write charging rules into code and deploy on the blockchain. It executes automatically, and no one can tamper with it. All transaction records are publicly queryable, allowing users to independently verify the destination of every fee, thereby establishing technology-based trust.
Layer 2 networks (such as Arbitrum) can stabilize single-transaction costs below 1 USD through batch processing. Compared to Ethereum mainnet fees exceeding 50 USD during congestion, the cost advantage is huge and more stable and controllable.
Not absolutely secure. The system relies on the security of oracles and contract code. Developers maximize risk reduction of code vulnerabilities and external data attacks through professional code audits, adopting decentralized oracles, and continuous security monitoring.
Yes, in current transparency solutions, transaction amounts and addresses are public. The future direction is to combine zero-knowledge proof (ZKP) technology to achieve “privacy transparency”, verifying transaction compliance while protecting user privacy.
*This article is provided for general information purposes and does not constitute legal, tax or other professional advice from BiyaPay or its subsidiaries and its affiliates, and it is not intended as a substitute for obtaining advice from a financial advisor or any other professional.
We make no representations, warranties or warranties, express or implied, as to the accuracy, completeness or timeliness of the contents of this publication.



