Contextualized Data
Aggregations are how LYS transforms decoded blockchain data into intelligent insights.Once raw blockchain data is parsed by our decoders, we immediately begin tracking structured metrics - both in real-time and across historical timeframes. These aggregated views power trading strategies, research dashboards, alerts, and AI agents.
Why aggregations matter
Raw data tells you what happened.
Decoders tell you what kind of event it was.
Aggregations tell you what it means.
For example:
A swap by a whale on Raydium becomes a price spike alert if it's the largest transaction in the last 5 minutes.
Two types of aggregations
Type
Description
Real-Time
Computed live as new events stream in - for alerts, agents, bots
Historical
Computed across stored data - for research, backtesting, dashboards
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