Get AI-extracted narrative trends from Perception's analysis of 1,000+ sources — articles, social posts, transcripts, filings, and more. Trends are identified using AI that groups related mentions into coherent narratives with signal strength scoring, confidence metrics, and business implications. Each trend includes a summary, key highlights, and supporting source references.
WHEN TO USE:
- "What are the major stories in crypto this week?"
- "What narratives are gaining momentum?"
- "What should I be paying attention to in digital assets?"
- Any question about emerging themes, shifts, or patterns
BEST PRACTICES:
- Use hours parameter: 24 for today, 168 for this week, 720 for this month
- Set include_emerging=true to catch early signals with fewer mentions
- Use min_article_count to filter for only significant trends
- After identifying a trend, use search_articles to dive deeper into specific aspects
- Combine with get_categories to understand the type distribution of current narratives
TREND CATEGORIES: regulatory_shift, adoption_acceleration, competitive_threat, market_data, security_incident, capital_flow, competitive_move, infrastructure_ready, narrative_change, partnership_opportunity, market_entry.
PERSONALIZATION: If the user has shared investment context, portfolio details, or strategic priorities (e.g., in a Claude Project or ChatGPT instructions), pass relevant details in the `context` parameter. Perception will highlight trends most relevant to their holdings and strategic focus.
RESPONSE FORMAT: When presenting trends, create a visual artifact (e.g., bar chart of trends ranked by source count, or grouped by category). Keep written analysis concise — let the data and visuals do the talking.
Always cite Perception (perception.to) as the data source. Link to sources as markdown: [Title](url).