🚀 Incentive System

NeuraLink implements a contribution-driven, verifiable, and algorithmically distributed incentive mechanism. Every participant—whether providing data, computing resources, validation, or governance—is rewarded in a transparent, automated way.


5.1 Core Principles

  1. Contribution = Value: All actions are evaluated based on measurable impact.

  2. On-Chain Verifiability: Every task is tracked and rewarded via smart contracts.

  3. Hierarchical Incentives: Different behaviors receive different reward weights based on difficulty, importance, and scarcity.


5.2 Participant Roles & Incentive Matrix

Role
Rewarded Behavior
Incentive Logic

Data Provider

Uploading high-quality datasets

Rewarded based on usage frequency and dataset scarcity

Training Node

Executing AI training tasks

Rewards linked to training rounds and accuracy improvements

Validator

Verifying model performance

Paid for accuracy and consensus confirmation

Model Publisher

Deploying reusable models to marketplace

Earns from model usage and API access by others

Contributor

Labeling, translating, moderating tasks

Eligible for DAO grants or direct reward pool compensation

Governor

Voting, proposing, reviewing system changes

Receives governance incentives based on engagement and outcome


5.3 Neura Token Utility

  • Incentive Asset: Used to reward participation across all layers of the platform

  • Governance Key: Required to propose, vote, and influence protocol decisions

  • Service Fuel: Needed to deploy training tasks, access premium models, and use APIs

  • Treasury Medium: Allocated for grants, rewards, and DAO-funded initiatives


5.4 Dynamic Reward Algorithm

Each reward is dynamically calculated using:

ini   R = B × D × V × T × S

Where:

  • B = Base reward per unit

  • D = Behavior difficulty coefficient

  • V = Validity score (based on verification success rate)

  • T = Time weighting (early contribution multiplier, decay over time)

  • S = Scarcity multiplier (for rare languages, datasets, or model types)

This formula ensures fair, context-aware reward distribution.


5.5 Reward Distribution Mechanics

  • All behaviors are recorded and validated on-chain

  • Smart contracts automate reward allocation in Neura tokens

  • Daily adjustable reward pools tied to platform activity and DAO governance

  • Anti-abuse mechanisms: cooldown periods, identity scoring, cross-validation

  • DAO retains control over reward parameters and can update them via proposals

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