Reward Emissions and Bribes

Emissions & Bribes

Zentra distributes ZNT tokens through a structured 3-year emission program designed to bootstrap protocol activity while ensuring long-term sustainability.

Emission Overview

Total Emission Pool: 60% of supply (15,000,000 ZNT)

Category
Allocation
Tokens
Purpose

Incentives

48%

12,000,000

Supply rewards, borrow rewards, points

Bribes

12%

3,000,000

Satsuma DEX incentives, weekly distribution

Duration: 37 intervals (36 × 30 days + 1 × 15 days)

Emission Schedule

Timeline Structure

Parameter
Value

Total Duration

~3 years (1,095 days)

Intervals

37 total

Regular Intervals

36 × 30 days

Final Interval

1 × 15 days

Emission Curve

Declining

Declining Emissions

Emissions decrease over time, front-loading rewards for early participants while extending incentives throughout the 3-year period.

Period
Emission Level

Year 1

High (~500K/month start)

Year 2

Medium

Year 3

Low (~100K/month end)

Distribution Split

Interval 1 (Launch Period)

During the first interval, emissions are split equally to bootstrap both sides of the market.

Recipient
Share

Suppliers

40%

Borrowers

40%

Satsuma Bribes

20%

Intervals 2-37 (Ongoing)

After launch, the split shifts to prioritize borrower incentives.

Recipient
Share
Purpose

Borrowers

70%

Primary protocol activity driver

Suppliers

10%

Base lending incentive

Satsuma Bribes

20%

DEX Liquidity Incentive

Why 70% to Borrowers?

Reason
Explanation

Protocol Rewards

Borrowers generate interest = rewards

Utilization

Higher borrowing = better supplier APY

Net Benefit

ZNT rewards often exceed borrow cost

Activity Driver

Borrowing indicates active DeFi usage

Effective Borrow Cost

Example:

  • Borrow APY: 8%

  • ZNT Rewards: 12%

  • Net APY: -4% (you're PAID to borrow)

Satsuma Bribes Mechanism

How Bribes Work

Instead of directly incentivizing LP providers, Zentra uses Satsuma bribes to attract liquidity more efficiently.

The Flow:

  1. 20% of ZNT Emissions → Weekly bribes

  2. Satsuma Voters receive bribes → Vote for ZNT/USDC gauge

  3. ZNT/USDC LP receives SUMA rewards → Attracts more LPs

  4. Protocol collects earned SUMA

  5. ZNT Stakers receive 90% of SUMA (monthly, random timing)

Why Bribes > Direct LP Rewards

Direct Rewards
Bribe Model

Expensive (need high APY)

Capital efficient

Mercenary liquidity

Aligned voters

No secondary benefits

SUMA rewards to stakers

One-dimensional

Creates flywheel effect

SUMA Distribution

Step
Description

1

Protocol bribes Satsuma voters weekly

2

Voters direct SUMA rewards to ZNT/USDC

3

Protocol collects earned SUMA

4

90% distributed to ZNT stakers monthly

5

Distribution at random times (prevents gaming)

Governance Flexibility

The emission structure is not fixed. Governance can adjust parameters to respond to market conditions.

Adjustable Parameters

Parameter
Governance Control

Emission splits

Supply/Borrow/Bribe ratio

Interval duration

Length of emission periods

Decay rate

How fast emissions decline

Market weights

Which assets receive more rewards

Governance Process

Phase
Description

1. Proposal

Any holder can submit

2. Forum Discussion

Community debate

3. On-chain Vote

Token holders vote

4. Execute

Timelock delay, then implementation

Emission Examples

Year 1 (High Emissions)

Category
Monthly Est.
Purpose

Borrowers

~280,000 ZNT

Bootstrap borrowing activity

Suppliers

~40,000 ZNT

Maintain supply incentive

Bribes

~80,000 ZNT

Build deep liquidity

Year 3 (Reduced Emissions)

Category
Monthly Est.
Purpose

Borrowers

~100,000 ZNT

Maintain activity

Suppliers

~15,000 ZNT

Supplementary yield

Bribes

~30,000 ZNT

Sustain liquidity

📊 Exact amounts depend on the specific decay formula and governance adjustments.

Strategic Design

Phase
Characteristics

Early (High Emissions)

Bootstrap TVL, attract users, build liquidity, establish market

Late (Low Emissions)

Protocol self-sustaining, fee rewards dominant, organic demand

Transition:

  • Early: High APY needed, token incentives critical

  • Late: Base yield sufficient, fundamentals drive value

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