Reppo is a decentralized platform and protocol leveraging on-chain prediction markets for AI training data — enabling open contribution, verification, and monetization of high-quality datasets.
Today, it is an AI platform powered by Reppo Protocol.
The platform is primarily designed for crowdsourcing AI training, evals, and benchmarking data, and it can also be used to generate datasets unrelated to artificial intelligence, given its decentralized and permissionless nature.
Beyond AI training, we also see interest from marketing and PR teams looking for verified human feedback on AI-generated content. Because datanets are decentralized, anyone in the world can incentivize miners and validators around almost any task, subject to protocol and governance guardrails.
Reppo is currently deployed on Base. $REPPO, Reppo's utility token, will serve to incentivize activity across the platform.
So what is a datanet?
A datanet is a competitive market that produces a dataset or another desired output, while Reppo Protocol tracks and incentivizes the work required to produce it.
Anyone can create a datanet by paying a fee in $REPPO, or participate in an existing datanet.
How does competition work in a datanet?
The work to be performed by miners and validators is defined by the datanet creator. Today, the datanet owner simply adopts the core incentive mechanism described here, but in the future, we will enable datanet owners to build custom incentive mechanisms.
What exactly is the task of a datanet miner?
The task of miners differs by datanet. Some datanets source AI-generated content from a specific set of domain-expert creators. Others source only human feedback from verified domain experts on custom content supplied by datanet owners. Datanet owners are supported by infrastructure-as-a-service providers in the Reppo ecosystem, including storage and compute providers.
Do datanets talk to each other?
Not automatically.
Each datanet controls its own access rules and monetization. A datanet owner can keep outputs restricted, share them with specific participants, or monetize them externally. The network also burns part of the $REPPO fees tied to datanet creation and operation, which accrues value to $REPPO holders.
Mining and validation
Is mining and validation in Reppo the same as in Bitcoin or Bittensor?
No.
On Reppo, "mining" within datanets means producing the high-quality source data needed for AI training. "Validation" means providing curated preference data and human feedback on the work performed by miners.
What is the incentive to be a miner or a validator, or create a datanet?
Reppo incentivizes participation through REPPO emissions. Each week, new REPPO tokens are emitted into the network. See the canonical schedule in Tokenomics.
The weekly emission distribution of the REPPO utility token is as follows:
5% to active datanet owners
45% to publishers (miners)
45% to the voters (validators)
I don't want to create a datanet, can I just be a miner or a validator?
Yes, you can!