Token Incentive Rules
1. Basic Unit
Each fiat-based purchase triggers $RF token rewards.
The initial reward pool is 2,000,000 $RF tokens, i.e., for every $1 spent, users receive on average 200 $RF tokens.
For cumulative sales up to $100,000, the decay step is $10,000. For $100,000–$1,000,000, the decay step is $100,000. For $1,000,000–$10,000,000, the decay step is $1,000,000, and so on.
The decay factor is 0.83.
2. Decay Mechanism (cycle of $10,000 sales)
First $10,000 sales: reward = 2,000,000 tokens.
Second $10,000 sales: reward = 2,000,000 × 0.83.
Third $10,000 sales: reward = 2,000,000 × 0.83².
And so on, until the 10th $10,000 (total $100,000 in sales is completed).
3. Progressive Tiers (cycle of $100,000 sales)
After reaching $100,000 in sales, the next phase rewards are scaled up proportionally:
Second $100,000 sales: reward = (10th $10,000 reward) × 10 × 0.83.
Third $100,000 sales: reward = (previous phase reward) × 0.83.
And so on, until the 10th $100,000 (total $1,000,000 in sales).
4. Higher Tiers ($1M, $10M, $100M, ...)
The same rules apply. In each large cycle, the 2nd phase reward = (last reward of previous cycle) × 10 × 0.83. All subsequent rewards continue to decay by a factor of 0.83.
5. User Distribution Method
Each sales phase reward Rn is distributed among users in proportion to their share of sales in that phase.
Where:
U𝑖 = number of tokens received by user 𝑖
𝐶𝑖 = spending of user 𝑖 in this phase
∑𝑗𝐶𝑗 = total spending of all users in this phase
Key Design Features
Maximum Early Incentives: The first $10,000 in sales has the highest reward (2,000,000 tokens), attracting early users to participate quickly.
Gradual Decay Per Unit Consumption: Rewards decrease progressively with a 0.83 coefficient.
Scaled Reset at Higher Tiers: Each new larger sales tier resets rewards based on the last reward of the previous cycle, multiplied before continuing decay.
Layered Exponential Decay Model: Ensures long-term scarcity of the token supply.
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