Crypto Exchange Fee Data: Open-Sourced JSON and Calculator for 2026 Tiers

This review examines crypto-exchange-fee-data, an open-source tool providing machine-readable fee schedules for Binance and OKX, alongside a CLI calculator to model complex, multi-factor trade costs.

The Answer Up Front

This tool is essential for anyone building crypto trading systems, backtesters, or order routers that require accurate, up-to-date fee calculations for Binance and OKX. It directly addresses the persistent problem of parsing volatile HTML fee tables by offering structured JSON data and a CLI calculator that models the multi-layered fee structure. Skip this if your trading volume is negligible or if you rely solely on fixed, hardcoded rates without accounting for dynamic tiers and discounts. The bottom line: it is a critical infrastructure piece for serious crypto market participants seeking precision in their financial models.

Methodology

This v0 review draws on the founder's published claims at https://dev.to/jacktrader/i-open-sourced-every-binance-and-okx-2026-fee-tier-as-json-a-calculator-fnj; independent benchmarks are pending. Update cadence: re-tested when claims diverge from observed behavior. The tool, crypto-exchange-fee-data, was observed as of June 17, 2026, corresponding to the publication date of the source signal. This review covers the technical problem identified by the founder, the structure of the open-sourced JSON data, and the functionality of the accompanying CLI calculator. It also details the multi-step fee calculation process as described in the source. What is not covered in this review includes independent performance verification against live exchange data, long-term workflow integration, or edge cases beyond those explicitly mentioned by the founder. The accuracy of the 2026 fee tiers provided in the JSON is taken as claimed by the founder, jack0752168, without independent verification at this stage.

What It Does

Structured Fee Data

The crypto-exchange-fee-data repository provides machine-readable JSON files containing the 2026 VIP fee tiers for Binance (spot and USD-M futures) and OKX (futures). This data includes maker/taker rates and the qualification rules for each tier. The founder highlights that these rates are expressed in percent, consistent with how exchanges publish them, with 0.0140 representing 0.014% or 1.4 basis points. This structured format directly replaces the error-prone process of manually extracting data from frequently changing HTML tables, a common pain point for developers of trading systems.

Multi-Factor Fee Calculation

The tool addresses a critical misunderstanding in fee calculation: that the per-trade cost is a single number. The founder details a three-lever stack for effective_fee:

1. VIP tier: This sets the base rate, determined by 30-day volume and, for Binance, a BNB-balance floor. OKX uses the better of 30-day volume or assets held. These tiers are dynamic and can change daily.
2. Token discount: Paying fees in native tokens (BNB for Binance, OKB for OKX) offers discounts, such as 25% off spot and 10% off futures on Binance. OKB's role is integrated into OKX's tier qualification.
3. Rebate: Affiliate or sub-broker partners can pass back a portion of the fee, which is applied multiplicatively after other discounts.

CLI Tooling

Accompanying the JSON data is a small, dependency-free CLI calculator written in Python. This tool models all three fee levers, allowing users to input parameters like exchange, market type, volume, maker share, and rebate percentage. It then outputs a blended rate, gross monthly fee, and the net fee after any applicable rebates. This calculator provides a practical application of the structured data, enabling users to simulate real-world fee scenarios accurately.

What's Interesting / What's Not

The most significant improvement offered by crypto-exchange-fee-data is the shift from manual, brittle HTML parsing to a clean, machine-readable JSON format for exchange fee schedules. This is not an incremental gain; it's a foundational quality-of-life improvement for any developer building automated trading or backtesting systems. The problem of silently changing HTML tables and hardcoded 0.0004 values is pervasive in crypto infrastructure, and this tool directly solves it.

What is particularly interesting is the explicit modeling of the multi-factor fee calculation. The founder's breakdown of VIP tiers, token discounts, and rebates highlights a common source of PnL discrepancies in trading simulations. Many developers overlook the dynamic nature of VIP tiers or the multiplicative effect of rebates. By providing a calculator that accounts for these variables, jack0752168 offers a more realistic and robust fee estimation. This moves beyond a simple data dump to a practical, actionable model of exchange economics.

What is less novel, though still valuable, is the concept of open-sourcing data. The true value here lies in the curation and structuring of that data, specifically for a complex and opaque domain like crypto exchange fees. The tool's simplicity, with no external dependencies and a standard library-only approach, also makes it highly portable and easy to integrate into existing workflows, which is a pragmatic design choice for utility software.

Pricing

The crypto-exchange-fee-data repository is open-source and licensed under MIT, meaning it is free to use, modify, and distribute. There are no associated costs for the data or the CLI calculator. Pricing snapshot date: June 17, 2026.

Verdict

For any serious builder in the crypto trading space, crypto-exchange-fee-data is an essential utility. It directly addresses a critical, often underestimated problem: accurate and up-to-date fee calculation. The provision of machine-readable 2026 fee tiers for Binance and OKX, coupled with a calculator that models the complex interplay of VIP tiers, token discounts, and rebates, provides a significant leap in precision for backtesting and live trading. If your PnL simulations consistently diverge from reality due to fee discrepancies, this tool offers a clear path to resolution.

What We'd Test Next

In a v2 review, we would independently verify the accuracy of the JSON fee data against live Binance and OKX exchange documentation. We would also establish a monitoring system to track how frequently the exchange fee schedules change and how quickly the crypto-exchange-fee-data repository reflects those updates. Further testing would involve integrating the fee calculation logic into a sample backtesting engine to measure its performance impact and confirm its consistency across a large volume of simulated trades. We would also explore its extensibility to other major exchanges and its robustness against unexpected changes in exchange fee structures or new discount mechanisms.

The investor read

The emergence of tools like crypto-exchange-fee-data signals a maturing infrastructure layer within the crypto trading ecosystem. As institutional and sophisticated retail participation grows, the demand for precise, verifiable data and robust financial modeling increases. The problem of opaque, dynamically changing exchange fee structures creates a niche for specialized data providers or reconciliation services. While this specific open-source project is likely a utility rather than a venture-scale play, it highlights the need for foundational data integrity. Investable opportunities could arise in platforms that aggregate and verify such complex, dynamic data across multiple exchanges, offering it as a managed service with SLAs for accuracy and timeliness, or in tools that automate the detection and parsing of these changes.