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.
Non-Inflationary Economics - Unlike traditional PoS networks that rely on perpetual token inflation, Reppo transitions rapidly from emissions-based rewards to a sustainable model powered entirely by protocol revenues.
TL;DR - Companies and individuals who want raw data and/or data labeling and annotation seed REPPO in their private subnet emissions pool. For public subnets, initial emissions from a dedicated emissions pool bootstrap early network participation - both publishers and voters, but the system is designed to transition to revenue-driven rewards funded by real AI training data demand. This ensures token holders are never diluted by inflation–instead, rewards come directly from value created within the ecosystem.
Together, these mechanisms create a tokenomic system where real AI demand directly drives token value through multiple reinforcing loops: subnet usage generates revenues and high-value participants are incentivized to continue creating value capture for the Reppo network. The result is a token whose value is fundamentally linked to the utility and adoption.
REPPO’s Economic Model
In our design: Emissions reward human effort in mining and validation.
Data is monetized externally (to AI companies), initially by Reppo Foundation as a steward and eventually by Solver Node Network.
The Three Phases of the Network
1. Bootstrap
Build core participation & feedback base
Token emissions
Year 1
2. Transition
AI buyers start paying for labeled data
Mix of emissions + revenue used for buybacks + Subnet creators locking REPPO for emissions
2–4 years
3. Sustainability
Feedback market becomes profitable
Mostly revenue
4+ years
We start at 150k/week* and 50K base level emissions per epoch. Each Epoch lasts 48 hours.
Halving is done every year for for the first 4.
Years 1: 150k/wk (Tis includes 3 epochs i.e. 50k per epoch)
Years 2: 75k/wk Years 3: 35.5k/wk Years 4: 17.75k/wk
Cumulative after 4 years: ~14,469,000 REPPO emitted. *Epoch 0, the genesis epoch, was incentivized with +100k REPPO (150K total). Epoch 1 and beyond, emissions capped at 50k per epoch
From year 4 onward, 17.75k/wk is emitted and a fixed weekly decay of 0.041 % per week (equivalent to ~2.1 % annual decay) is in place.
The Long Game
Over time, AI data demand replaces emissions as the feedback market matures.
We will later adopt on-chain monetary policy, turning emissions into a permanent reward system
Future considerations
Based on governance, we can explore
After ~5 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.
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