Reppo Tokenomics

Reppo’s token economy is designed to be the incentive and governance layer for open, high-quality AI training data. Similar to how some protocols coordinate compute and model training, Reppo coordinates data sourcing, generation, ranking, annotation, and validation. We do this uniquely through prediction markets. The network token aligns incentives between data contributors, curators, and users to make the production of verified datasets self-sustaining and economically efficient.

REPPO’s Economic Model

In our design: Emissions reward human effort in mining and validation.

• Data is sold externally (to AI companies), initially by Reppo Foundation as a steward and eventually by Solver Node Network.

• Value exits the token loop — emissions bootstrap the ecosystem until real buyers sustain it.

So our emissions aren’t meant to last forever; they bridge the gap until AI demand takes over.

The Three Phases of the Network

​	​	​	​
1. Bootstrap	Build core participation & feedback base	Token emissions	1–3 years
2. Transition	AI buyers start paying for labeled data	Mix of emissions + revenue	3–7 years
3. Sustainability	Feedback market becomes profitable	Mostly revenue	7–20+ years

Designing for Longevity

We have modeled emissions as a soft decay/ adaptive inflation system:Et=E0×(1−d)tE_t = E_0 \times (1 - d)^tEt​=E0​×(1−d)t

• E0E_0E0​: initial weekly emission

• ddd: small decay per epoch (0.1 – 0.2 %)

• This ensures emissions never hit zero — they just decline smoothly.

Eventually, emissions can be replaced or supplemented by a fixed inflation rate (e.g., 1–2 % yearly) — like a monetary policy.

Years 0–3	100 K – 200 K	10 – 20 M/year	Fixed pool	Growth & feedback liquidity
Years 4–7	80 K – 180 K	5 – 10 M/year	Fixed pool	Transition to market demand
Years 8+	Dynamic (1–2 % inflation)	6 – 12 M/year	On-chain minting	Long-term sustainability

The Long Game

• Over time, AI demand replaces emissions as the feedback market matures.

• We will later adopt on-chain monetary policy, turning emissions into a permanent reward system

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Future considerations

Based on governance, we will explore

• Introducing soft decay (0.1–0.2 % per epoch) or annual halving.

• After ~10 years, transition to 1–2 % inflation-based minting.

• How we can can have AI buyer revenue funds rewards — and make emissions optional.

This way, REPPO evolves from a token-funded data commons to a self-sustaining feedback economy.​