Does growth in transaction volume mean protocol revenue will grow proportionally? Looking at $NEAR , I’d rather break this question down into three variables.
Binance spot data captured at 14:10 Beijing time on October 12 shows that over the complete hour from 13:00 to 14:00, NEAR’s price fell by about 0.30%, with roughly 9.75 million USDT in trading volume. This is exchange trading volume—not the product activity volume of NEAR Intents, and certainly not protocol revenue. The two kinds of “volume” cannot be multiplied together directly.
In this review of NEAR’s revenue page, the official FAQ distinguishes between total fees and revenue: total fees are the full amount of fees collected, while protocol revenue is the portion retained after distributions to integration partners, solvers, and dApps. The page also separately explains the metrics for fees as a share of activity volume, net revenue as a share of activity volume, and net revenue as a share of total fees.
Based on these definitions, I use a simplified framework for understanding revenue: activity volume on a consistent basis × effective fee rate × protocol retention rate. This is an equation intended to make the components easier to analyze; it is not a profit model disclosed by the project, nor does it include all costs.
Suppose activity volume doubles, the fee rate falls to half its original level, and the retention rate stays the same. Net revenue would not double just because activity volume did. This is only a mathematical example, not actual NEAR operating data. Conversely, even if activity volume stays steady, changes to the fee structure or retained share could also change revenue.
So my limited conclusion is this: when evaluating product growth, verify activity volume, fees, and distributions together at a minimum. Don’t conflate total fees, protocol revenue retained, and profit. Even if revenue increases, actual buybacks or burns need to be checked against transaction records; they cannot be inferred automatically from a revenue headline.
Another possibility is that expansion in activity comes alongside lower fees or a larger share distributed to partners. The product may become more widely used without a corresponding increase in protocol revenue retained. Alternatively, the figures denominated in US dollars may rise simply because the token price changed. Both possibilities need to be tested using consistent time periods and currency denominations.
This page notes that the figures shown are illustrative, and some dynamic fields do not have valid numerical values. I do not treat them as actual revenue or as zero revenue. If verifiable records of activity volume, fees, and distributions become available later, I’ll use them to test this framework; if the definitions change or revenue cannot be explained by these factors, I’ll revise it. The market data above is from Binance only.
Original: https://revenue.near.org/
Binance spot data captured at 14:10 Beijing time on October 12 shows that over the complete hour from 13:00 to 14:00, NEAR’s price fell by about 0.30%, with roughly 9.75 million USDT in trading volume. This is exchange trading volume—not the product activity volume of NEAR Intents, and certainly not protocol revenue. The two kinds of “volume” cannot be multiplied together directly.
In this review of NEAR’s revenue page, the official FAQ distinguishes between total fees and revenue: total fees are the full amount of fees collected, while protocol revenue is the portion retained after distributions to integration partners, solvers, and dApps. The page also separately explains the metrics for fees as a share of activity volume, net revenue as a share of activity volume, and net revenue as a share of total fees.
Based on these definitions, I use a simplified framework for understanding revenue: activity volume on a consistent basis × effective fee rate × protocol retention rate. This is an equation intended to make the components easier to analyze; it is not a profit model disclosed by the project, nor does it include all costs.
Suppose activity volume doubles, the fee rate falls to half its original level, and the retention rate stays the same. Net revenue would not double just because activity volume did. This is only a mathematical example, not actual NEAR operating data. Conversely, even if activity volume stays steady, changes to the fee structure or retained share could also change revenue.
So my limited conclusion is this: when evaluating product growth, verify activity volume, fees, and distributions together at a minimum. Don’t conflate total fees, protocol revenue retained, and profit. Even if revenue increases, actual buybacks or burns need to be checked against transaction records; they cannot be inferred automatically from a revenue headline.
Another possibility is that expansion in activity comes alongside lower fees or a larger share distributed to partners. The product may become more widely used without a corresponding increase in protocol revenue retained. Alternatively, the figures denominated in US dollars may rise simply because the token price changed. Both possibilities need to be tested using consistent time periods and currency denominations.
This page notes that the figures shown are illustrative, and some dynamic fields do not have valid numerical values. I do not treat them as actual revenue or as zero revenue. If verifiable records of activity volume, fees, and distributions become available later, I’ll use them to test this framework; if the definitions change or revenue cannot be explained by these factors, I’ll revise it. The market data above is from Binance only.
Original: https://revenue.near.org/