> ## Documentation Index
> Fetch the complete documentation index at: https://docs.reppo.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Glossary

> Quick reference for Reppo terminology: core network terms, roles, token and market mechanics, rewards and evaluation, and verification and provenance.

Use this page as the quick reference for Reppo terminology. If a term appears in older materials, the current docs default to V2 language.

## Core network terms

* **Reppo Protocol:** the incentive layer that coordinates AI training data markets through staking, publishing, and voting.
* **Datanet:** an owner-defined market for sourcing, curating, and monetizing AI training data. See [Datanets](/concepts/datanets).
* **Pod:** an atomic data unit published into a datanet, such as a tweet, image, video, or annotation. Each pod is minted as an NFT on Base. See [Pods](/concepts/pods).
* **Data Exchange:** the marketplace where Reppo-produced data is packaged, discovered, and monetized downstream. See [Data Exchange](/roadmap/data-exchange).
* **RL environment:** the task, scoring function, and feedback loop used to improve a model. On Reppo, datanets act as market-based RL environments.
* **RLHF:** reinforcement learning from human feedback. Reppo supports RLHF-style workflows through market-based publishing and curation.
* **Stake-Assured Human Feedback:** Reppo's mechanism for turning economic conviction into usable training signal. See [Votes & Curation](/concepts/votes-curation).

## Roles

* **Publisher:** a participant who submits raw data, task output, or model output into a datanet.
* **Voter:** a participant who locks REPPO for voting power and uses stake-backed judgment to support or oppose what they think is useful.
* **Datanet owner:** the participant who creates a datanet and defines its rules, fees, incentives, and access controls.
* **Data contributor:** another name for a publisher.
* **Domain expert:** a voter whose judgment is valuable in a specific market or task area.

## Token and market mechanics

* **REPPO:** the network utility token used for locking, incentives, and network-level fees. See [Token Utility](/tokenomics/token-utility).
* **veREPPO:** voting power received by locking REPPO. It is allocated across datanets and epochs.
* **Locking:** the network-level action of locking REPPO to receive veREPPO.
* **Staking:** datanet-level reward participation. It is separate from locking and separate from publishing.
* **Mining:** publishing data or task output into a datanet.
* **Curation:** the process of using stake-backed judgment to rank, support, filter, or oppose submissions and markets.
* **Epoch:** the 48-hour market window where voting and curation happen.
* **Prediction market:** the stake-backed market structure Reppo uses to price quality, surface signal, and coordinate incentives.

## Rewards, quality, and evaluation

* **Performance Pool:** the pool that funds datanet staking rewards. It is funded by a share of datanet spin-up fees, publishing fees, and data access fees.
* **EVOF:** one of the on-chain metrics used to score datanets for reward distribution.
* **Publishing fee:** the fee paid to submit into a datanet.
* **Access fee:** the fee paid to consume or access monetized datanet output.
* **Learning signal:** the useful preference, ranking, or evaluation data produced through market activity.
* **Evals:** structured evaluation workflows used to test model behavior or model quality.
* **Benchmarking:** repeated measurement of model performance against a known task or standard.

## Verification and provenance

* **Reppo Agent:** the planned protocol-native agent layer for verification, provenance checks, and validation workflows. See [Verification, Provenance, and Reputation](/trust-security/verification-provenance).
* **Provenance:** the record of where data came from, how it was submitted, and how it was curated.
* **Reputation:** the historical quality and performance record of contributors and datanets.

## Whitepaper and legacy terms

* **Public and private datanets:** V1 language for datanet access models. In V2, datanet creation is permissionless and each owner sets access rules directly.
* **Miners:** an older or informal synonym for publishers.
* **Validators:** an older or informal synonym for voters.

If you want the system-level flow, start with [How Reppo Works](/concepts/how-reppo-works).