docs/rewards/df-background.md

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Data Farming (DF) incentivizes for growth of Data Consume Volume (DCV) in the Ocean ecosystem.

Data Farming Background

It rewards OCEAN to stakers as a function of consume volume and liquidity. Its like DeFi liquidity mining, but tuned for data consumption. DFs aim is to achieve a minimum supply of data for network effects to kick in, and once the network flywheel is spinning, to increase growth rate.

Active Work to Drive APY

Data Farming is not a wholly passive activity. The name of the game is to drive Data Consume Volume (DCV). High APYs happen only when there is sufficiently high DCV. High DCV means publishing and consuming truly useful datasets (or algorithms).

Thus, if you really want to max out your APY:

  1. Create & publish datasets (and make $ in selling them) — or work with people who can
  2. Lock OCEAN and stake veOCEAN on them.
  3. Buy the datasets (and use them to make $) — or work with people who can
  4. Claim the rewards.

Driving DCV for publishing & consuming is your challenge. It will take real work. And then the reward is APY. Its incentives all the way down :)

Reward Function

The Reward Function (RF) governs how active rewards are allocated to stakers.

Rewards are calculated as follows:

  1. Distribute OCEAN across each asset based on rank: highest-DCV asset gets most OCEAN, etc.
  2. For each asset and each veOCEAN holder: If the holder is a publisher, 2x the effective stake Baseline rewards = (% stake in asset) * (OCEAN for asset) Bound rewards to the asset by 125% APY Bound rewards by assets DCV * 0.1%. This prevents wash consume.

You can find this code inside calcrewards.py in the Ocean Protocol df-py repo

Data Assets that Qualify for DF

Data assets that have veOCEAN allocated towards them get DF rewards.

The data asset may be of any type — dataset (for static URIs), algorithm for Compute-to-Data, or any other Datatoken token-gated system. The data asset may be fixed price or free price. If fixed price, any token of exchange is alright (OCEAN, H2O, USDC, ..).

To qualify for DF, a data asset must also:

4 Phases of Data Farming

Data Farming has evolved over time and will continue to do so as the Emission Curve progresses. We are now in DF main, below are the previous phases and parameters incurred during the evolution of the Data Farming program.

DF Alpha - Rounds 1-4 (4 wks)
10K OCEAN rewards were budgeted per week. Counting started Thu June 16, 2022 and ended July 13, 2022. Rewards were distributed at the end of every week, for the activity of the previous week. It ran for 4 weeks. The aim was to test technology, learn, and onboard data publishers.

DF/VE Alpha - Rounds 5-8 (4 wks)
10K OCEAN rewards were budgeted per week. Counting started Thu Sep 29, 2022 and ended Oct 27, 2022. Rewards were distributed at the end of every week, for the activity of the previous week. It ran for 4 weeks. The aim was to resume Data Farming along with veOCEAN, test the technology, onboard data publishers, and keep learning.

DF Beta - Rounds 9-28 (20 wks)
Up to 100K OCEAN rewards were budget per week. Counting started Thu Oct 27, 2022 and ended March 15, 2023. It ran for 20 weeks. The aim was to test the effect of larger incentives, support ecosystem participation, while continue refining the underlying technology.

DF Main - Rounds 29-1000+
Immediately followed the release of DF Beta on Thu Mar 16, 2023. Rewards begin at 150k per week and go to 1.1M OCEAN per week. DF Main emits 503.4M OCEAN worth of rewards and lasts for decades. Expected APY is 125% over many months (once fully ramped), staying generous over the long term.

The amount of OCEAN released is determined by the emission schedule as defined by the Emission Curve, and perhaps more easily uderstood in the Reward Schedule