The problem
Staking economics are opaque. Rewards, slashing risk, validator quality, protocol comparisons — most of this lives in scattered dashboards or nowhere at all. Retail stakers cannot make informed choices; institutional stakers spend weeks on due diligence per chain.
What we built
AR Data contributed engineering on Apybara — data pipelines that aggregate staking metrics across protocols, normalize them, and expose them in one interface. Real-time yields, validator scoring, and historical performance.
Results
- Cross-protocol staking metrics
- Real-time yield tracking
- Validator scoring
- Historical performance data
Tech stack
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