Equinox AI decodes public activity across two of the most behaviourally rich platforms in crypto—Telegram and X. Rather than treat posts and handles as isolated signals, we build a synchronised map of a user’s presence, history, and influence over time.
Key functions include:
• Linking wallet activity to known or pseudonymous online identities
• Detecting patterns between group chats, social posts, and asset movement
• Flagging coordinated activity that reflects influence or insider behaviour
• Monitoring alias changes, deleted posts, and repeated behavioural loops
Structured Identity Extraction
Telegram Layer
• Tracks when users joined or exited public groups
• Stores past usernames and group-level admin status
• Measures activity bursts (e.g. spike during token mint or dump)
• Clusters groups where same users resurface across ecosystems
X (Twitter) Layer
• Follows tweet timing in relation to swaps or bridge usage
• Correlates deleted tweets with contract events
• Maps large KOL audiences to known trading wallet clusters
• Flags repeated narrative push patterns under different handles
Cross-Platform Pattern Detection
We avoid snapshot analysis. Equinox builds ongoing timelines. A Telegram push followed by an X call, followed by a buy/sell → gets logged and scored as a behavioural loop.
Example Mapping: Time-Based Correlation
This model helps:
Detect influencer-wallet ties without self-disclosure
Flag projects with recycled alias teams
Monitor pre-hype/post-hype trader exits
Catch wallet patterns matching deleted post cycles
Equinox does not scrape DMs or enter gated content. All data is open-source indexed. If you wish to be excluded, you may burn $ENOX to deactivate mapping on your social ID.
