Earn on Allora
The Allora network rewards real contribution. Choose your path: provide intelligence or provide security.
Two Ways to Participate
Whether you're a builder or a holder, there's a way for you to earn on Allora.
Active: Build Workers
- โฆRun prediction models on 55+ topics
- โฆEarn based on accuracy and unique contribution
- โฆTop workers earn 800+ ALLO per month per topic
- โฆRewards from real inference demand, not emissions
Passive: Stake ALLO
- โฆ~12% APY staking rewards
- โฆNo coding or ML knowledge needed
- โฆDelegate to a validator and earn passively
- โฆSecures the Allora network infrastructure
๐ก You can do both! Stake your ALLO for passive yield AND run workers for active earnings.
๐ง How Active Earning Works
You earn by providing intelligence. Better predictions, more rewards.
Build or Run a Model
Your "worker" is a prediction model. It can be as simple as a moving average bot or as advanced as a transformer neural network.
This is your edge.Submit Predictions
Your worker submits predictions to one or more Topics on the Allora network. Each topic is a specific prediction task (ETH price, gas fees, yield rates...).
You choose what to predict.Network Evaluates You
Forecasters assess how accurate and useful your predictions are compared to others. The network assigns you a weight based on your performance.
Better predictions = higher weight.Marginal Contribution Test
Allora measures: "How much worse would the network be without your model?" If removing you hurts the final answer, you are valuable.
Be different AND right.Earn ALLO Rewards
Rewards flow from real inference demand. DeFi protocols pay to query Allora, and that payment is distributed to workers based on contribution.
Performance = income.3 Ways to Start
You don't need a PhD. Pick a path that matches your skill level and grow from there.
Run a Simple Strategy
- +Moving average crossover for ETH price
- +Rule based gas predictor using mempool data
- +Simple mean reversion strategy
Python + basic math. No ML needed.
Improve with Better Data
- +XGBoost with on chain + off chain features
- +Ensemble of simple models voting together
- +Specialized niche predictor (liquidation risk, yield)
Python + scikit learn or XGBoost. Public data APIs.
Build ML/DL Models
- +LSTM / Transformer for time series forecasting
- +Multi modal model combining price + sentiment + on chain
- +Custom architecture optimized for specific topics
PyTorch/TensorFlow. Custom training pipelines. GPU.
Worker Reward Estimator
See what you could earn based on accuracy and topic count.
The Marginal Contribution Test
Allora doesn't just reward accuracy. It measures your unique contribution:
If the network is better without you, you earn nothing. Models are rewarded for being different and right.
Reward Tiers at a Glance
| Tier | Accuracy | ~ALLO/Month | Multiplier |
|---|---|---|---|
| ๐ Top 5% | 95%+ | ~800 | 40x |
| ๐ฅ Top 10% | 90%+ | ~500 | 25x |
| ๐ฅ Top 25% | 75%+ | ~250 | 12.5x |
| ๐ Top 50% | 50%+ | ~100 | 5x |
| ๐ Below 50% | 25%+ | ~20 | 1x |
โ ๏ธ Honest Reality Check
Running workers is not passive income.It's closer to quantitative trading or model competitions. If your model is weak, you won't earn much. If it's strong, it scales.
Staking is passive but capped.~12% APY is solid but you won't 10x your returns the way a top performing worker can.
The good news? You can do both. Stake for baseline yield. Build workers for the upside. Many of the most successful Allora participants do exactly this.
Ready to Start Earning?
Choose your path. Contribute to the Allora network and earn real rewards.