Incentives, Reputation & Staking

How roles earn, how reputation boosts rewards, and how staking creates confidence.

Roles and how they earn

Role	Earns from	Why they matter
Contributors	Royalty share via ownership fractions	Create verified knowledge units
Validators	Validation fees and royalty share where policy allows	Keep quality high and fraud low
Backers	Share of owner returns when underwriting cohorts or datasets	Finance data creation and smooth income
Buyers	Better models, lower upfront cost with TNPL	Demand side of the flywheel

Reputation

A transparent score derived from credentials, historical accuracy, volume and timeliness, and stake behavior.
The score maps to a reward multiplier with a safe band, for example 0.8x to 1.3x.

Staking for confidence

Stake type	Token	What it does	Slashing signals
Stake on data	$XNY	Acquire or boost ownership fractions of an asset or cohort	Proven inaccuracies, failed audits
Stake on contributor	$XNY	Back a person or team to lift their reputation multiplier	Systematic low accuracy, fraud, failed KYC escalation

Both stake types are protocol-level. They secure the network, align incentives, and gate premium tasks.

Quality controls

• Randomized checks against ground truth, adversarial spot audits
• AI assisted review and facial or KYC escalation where policy requires
• Dispute ladder with bonded challenges and transparent outcomes