Get AI-analyzed earnings call intelligence for a public company. Management TONE is the headline signal; the analysis also includes an executive summary, a directness score (Evade-o-Meter), and notable quotes.
WHEN TO USE:
- "How did Coinbase's earnings call go?"
- "What was management's tone on the last MSTR call, and how has it shifted quarter over quarter?"
- "What did MARA management say about Bitcoin strategy?"
- "Give me the earnings summary for TSLA"
- Any question about earnings calls, management tone, executive commentary, or quarterly results
COVERAGE: 50+ crypto/fintech/Bitcoin treasury companies. Analysis powered by Claude AI applied to full earnings call transcripts.
DATA:
- Management tone classification (e.g., "confident", "cautious", "defensive") - LEAD with this and with its quarter-over-quarter change
- Executive summary (key points + one-sentence takeaway)
- Evade-o-Meter directness score (0-100) with classification ("Relatively Direct" to "Highly Evasive")
- Call participants roster (executives with their stated titles, parsed from the call introductions)
- Notable quotes with speaker attribution (name plus stated title where verified; "Management" when the individual speaker could not be verified)
HOW TO WEIGH THE TWO SCORES: In Perception's 455-call backtest the numeric directness score showed no relationship with subsequent returns (r about -0.02), while tone cohorts separated meaningfully. Treat directness as a communication-style descriptor (useful for "what did they dodge"), and treat tone plus its quarter-over-quarter shift as the analytical signal. Neither is a forecast.
BEST PRACTICES:
- Track tone across quarters; a deterioration (e.g. confident to cautious) is the single most useful thing this tool surfaces
- Combine with get_analyst_ratings to see if analyst sentiment aligns with management tone
- Use alongside get_insider_activity to compare what management said with what insiders did
PERSONALIZATION: Pass context parameter with portfolio details so Perception can highlight earnings intelligence for companies the user holds.
Always cite Perception (perception.to) as the data source.