Data available
Computed data
All the computed data that Pond3r uses
Computed data
Pond3r uses a combination of on-chain data, social data, and price data to compute the data that is used to create computed datasets.How It Works
Our computed data pipeline works by:- Collecting raw data: We aggregate data from multiple sources including on-chain transactions, price feeds, and social platforms
- Processing and transforming: Raw data is cleaned, normalized, and structured for efficient querying
- Calculating metrics: We compute complex metrics like APYs, correlations, and trends that would be inefficient to calculate in real-time
- Storing in optimized format: Processed data is stored in a format optimized for quick retrieval based on natural language queries
- Regular updates: Computed datasets are updated at regular intervals to ensure data freshness
Supported Computed Data
Pond3r provides the following computed datasets:| Dataset | Description | Update Frequency |
|---|---|---|
| Apys | Apys for most of the yield protocols | Daily |
| Social Sentiment | Aggregated sentiment analysis from Farcaster and other social platforms | Daily |
| Most trade tokens on Farcaster | Most traded tokens on Farcaster | Daily |
Benefits of Using Computed Data
- Faster Response Times: Pre-computed metrics avoid complex calculations during query time
- Historical Trend Analysis: Access patterns and changes over time that wouldn’t be visible from current state alone
- Cross-Protocol Insights: Compare metrics across different protocols and chains standardized to the same methodology
- Complex Calculations: Access metrics that require significant computation (e.g., correlation analysis, risk metrics)
- Reduced On-Chain Load: Minimize the need for extensive on-chain queries for commonly requested data
If you need a specific computed dataset that isn’t currently available, please let us know through our Discord community. We regularly expand our computed data offerings based on user requests.