Data pooling
Data Liquidity Pools (DLPs) are an application pattern built on the Vana protocol — not the protocol itself; in marketing we sometimes call them data collectives. The purpose of a DLP is to enable collective decisions over a dataset: who can access it, how it’s validated and refined, and how value is shared. The protocol gives you user-owned data, Personal Servers, and grants; DLPs add pooled data, validation, refinement, and token-gated access so that many users can contribute to a shared dataset and earn when builders use it.DLP vs DataDAO
- DLP (Data Liquidity Pool) — A pool that holds and validates contributed data and controls who can access it. A DLP can specify any currency (or mix of currencies) for access fees and contributor rewards; it is not limited to VANA or VRC-20.
- DataDAO — A specific kind of DLP that is run as a DAO (decentralized autonomous organization). Governance (e.g. validation rules, refinement, treasury, upgrades) is controlled by token holders or the community. DataDAOs in the Vana ecosystem often use VRC-20 tokens for ownership and burn-for-access; the VRC-20 data token standard describes that pattern.
Why build a DLP or DataDAO
- Aggregation for AI — Combine many users’ data into a single, queryable dataset with clear access rules.
- Sybil-resistant valuation — Proof of Contribution ties rewards to real, validated contributions.
- Liquid data assets — When a pool uses VRC-20 tokens, they are ERC-20 compatible and programmable (governance, rewards, burn-for-access).
Get started
If you’re motivated to run a DLP or DataDAO:- Understand the token standard — Read VRC-20 data token standard (for pools that use VRC-20).
- Run the quickstart — DLP quickstart gets a demo DLP on testnet in minutes (CLI + optional manual steps).
- Go deeper — Proof of Contribution and validation/refinement are covered in the Data Applications section.
DLP quickstart
Deploy a demo DLP on the Vana Moksha testnet in minutes.