@moltovyEuphoriaLens Docs
About EuphoriaLens
EuphoriaLens is an on-chain analytics dashboard for public Euphoria Mainnet activity.
Independence
EuphoriaLens is not affiliated with, endorsed by, or sponsored by Euphoria Finance.
Data Sources
The dashboard uses public Euphoria Mainnet on-chain lifecycle records, public transaction and log data, and derived account-level metrics. It does not include linked social handles, private market-data research, debug records, or operational logs.
Refresh Cadence
Data is generated from the public pipeline. The dashboard feed is intended to refresh about every five minutes, and Vercel revalidates dashboard data on a 300-second cadence. Freshness labels separate when the feed was refreshed from the latest on-chain lifecycle event included in the metrics.
Metric Definitions
On-chain Volume
Total observed public lifecycle activity volume.
Indexed Taps
Matched observed lifecycle tap, open, and settlement activity.
Trading Accounts
Platform account addresses observed in Euphoria lifecycle records.
Net PNL (Est.)
Estimated from observed account lifecycle cashflows. It is not wallet-level realized PNL.
Platform Win Rate
Recipient-aware platform account outcome rate from decoded lifecycle settlements.
Largest Payout
Largest observed Engine-to-account platform payout.
Trader Concentration
Share of observed volume attributable to the largest platform accounts.
Methodology
The pipeline collects public on-chain events, decodes lifecycle records into public metrics, and publishes a compact dashboard dataset from Cloudflare R2. Missing values are shown as unavailable rather than as zero.
Limitations
Account-level metrics are based on observed public lifecycle data. Net PNL (Est.) is estimated, not wallet-level realized PNL. Platform account identity is not real-world identity. Metrics may lag live protocol activity, and methodology is reviewed as Euphoria Mainnet activity evolves.
Technical Stack
EuphoriaLens uses an on-chain data pipeline, Cloudflare R2 public JSON, a Vercel / Next.js dashboard, and a public analytics layer.