Faucet: Token Emission

Token emission within the OVERTAKE ecosystem is governed by agent-based activity and performance. Instead of relying on fixed inflation schedules, the platform adopts a dynamic and meritocratic distribution model, where $TAKE tokens are issued as rewards for high-impact contributions.

Reward Agents and Allocation Structure

The OVERTAKE ecosystem distributes community token rewards through a two-stage allocation mechanism, designed to align incentives across distinct participant roles and ensure merit-based distribution within each group.

Stage 1: Role-Based Pool Allocation

The total reward emission for a given epoch is first divided across three distinct agent pools:

• Buyers: End users who generate demand-side GMV by exploring the marketplace, completing purchases, and submitting reviews.

• Sellers: Providers of consistent, high-quality supply through asset listings and completed transactions, often evaluated by buyer feedback.

• Evangelists: Community contributors who drive platform growth by referring users, creating content, and engaging in social outreach.

Let:

• T_total = total emission pool for the epoch

• α = proportion allocated to the Buyer Pool

• β = proportion allocated to the Seller Pool

• γ = proportion allocated to the Evangelist Pool

• where α + β + γ = T1

Then:

• Buyer Pool = T_total × α

• Seller Pool = T_total × β

• Ambassador Pool = T_total × γ

These allocation ratios may be adjusted over time to reflect evolving strategic priorities — such as boosting supply, incentivizing user acquisition, or deepening user retention. Stage 2: Score-Based Distribution Within Each Pool

Within each role-based pool, token rewards are distributed according to each participant’s relative activity score, which reflects the value of their contributions during the epoch.

Let:

• Aᵢ = activity score of participant i (within their role)

• Rᵢ = token reward received by participant i

• T_pool = reward pool for the role

Then:

Rᵢ = T_pool × (Aᵢ / Σi Ai)

Activity Score Examples

Each role is evaluated based on distinct, verifiable actions that are weighted according to impact:

Role	Example Actions
Buyers	Browsing listings, completing purchases, writing reviews.
Sellers	Registering and listing assets, completing sales, receiving positive feedback.
Evangelists	Referring new users who transact, posting on social media, participating in community events.

The activity score (Aᵢ) is a weighted sum of such actions, and may be updated through governance or system-level configuration.

This two-stage framework ensures that token rewards are both strategically allocated across roles and equitably distributed based on individual contribution, fostering long-term engagement and growth throughout the ecosystem.