Feature
Influencer Calls Tracking
Databot's Calls dashboard tracks every ticker mention by 500+ monitored KOLs on X — giving traders and researchers a structured log of who called what, when, and how often, ready to cross-reference with on-chain data.
Every ticker mention by monitored KOLs, in one place
The Calls dashboard tracks every time a monitored KOL mentions a specific ticker on X — giving you a structured, searchable log of which accounts have been calling which tokens, when, and how frequently. Rather than relying on memory or manual search to reconstruct who said what about a project, Calls gives you the full history in one view.
Spot patterns that single mentions hide
A single call from a single account is weak signal. The Calls dashboard makes it easy to see when several monitored accounts have independently mentioned the same ticker across a recent period — a pattern that is meaningfully harder to fake and meaningfully more likely to reflect genuine early interest. Timeline view and frequency data help separate one-off mentions from sustained attention.
Cross-reference calls with Discoveries and on-chain context
Calls data works best when it feeds directly into a validation workflow. When you see a ticker appearing across multiple KOL calls, the next step is checking the Discoveries dashboard to see whether the AI has already extracted its on-chain contract information — and whether on-chain signals are confirming the social activity or sitting flat.
Available through the Web3 dashboard and API
Call data is accessible through the Databot web dashboard for manual review, and through the business API for teams that want to pipe influencer mention data into their own tools, bots, or research pipelines. The API exposes recent follows and tweets from monitored KOLs, including token mentions, making it composable with custom analytics workflows.