Category
Business Management
Built by
Beam.ai
Grade cryptocurrencies with Token Metrics, storing AI ratings alongside your watchlist and automating research work such as alerting a trader when a grade shifts.
Trader and Investor Grades
Token Metrics assigns each asset a grade meant to summarize short-term and longer-term outlook. A Beam agent reads the current grade for the tokens on your watchlist, writes it against each record, and applies your rule for what a grade change means. When a grade crosses a level you set, the desk is notified with the old and new values. Grades that move sharply in a short window, or conflict with other data you hold, are flagged to a person, since a trading decision stays with a human rather than the agent acting alone.
Price and Signal Alerts
Signals and price alerts mark when an asset meets a condition Token Metrics tracks. A Beam agent watches for these, reads the triggering values, and records the event on your timeline with a link back to the source. Your rule decides which signals matter and who hears about them, so a bullish signal on a held asset can notify the owner while others are filed. Signals that arrive in a cluster, or during unusual volatility, are routed to a person, who reviews the context before anyone treats the alert as a reason to act.
Token Ratings Feed
The ratings feed carries scores across many tokens, refreshed as the models update. A Beam agent reads the feed, keeps the scores on your internal records current, and applies your rule about which tokens to track and at what score they warrant attention. Records crossing that line are surfaced to the research channel. Tokens that are new, thinly covered, or where the score jumps without obvious cause are handed to an analyst, so a person confirms the read before it informs a report or a position, keeping judgment with the team.







