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Entities

Entities are companies, people, products, and other named things extracted from signals using Google Natural Language API with alias resolution rules.

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Entity profiles

Each entity has a rich profile including:
  • Signal count — total signals mentioning this entity
  • Trend stats — momentum, z-scores, persistence, share of voice
  • Content type mix — breakdown of analysis vs. event signals
  • Theme distributions — which value chain segments and market forces this entity appears in
  • Related entities — co-occurrence relationships

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Trend analytics

Every entity includes a trend object with real-time analytics:
FieldDescription
momentum_wowWeek-over-week % change
momentum_4w4-week rolling momentum
accelerationRate of change of momentum
z_scoreStandard deviations above/below mean
persistenceFraction of recent weeks with activity
share_of_voiceEntity’s share of total corpus this week
streakConsecutive weeks of growth/decline
The /entities/trending endpoint supports multiple ranking algorithms:
ModeRanks byUse case
risingHighest momentum_wowWhat’s gaining attention now
hotZ-score × persistenceSustained unusual activity
consistentPersistence × signal_countReliably covered entities
newMost recent first_seenNewly emerging entities

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Co-occurrences

The entity detail endpoint includes related_entities — entities that frequently appear together in signals. This reveals industry relationships, competitive dynamics, and supply chain connections. 
{
  "related_entities": [
    {
      "entity_id": "ent_01J...",
      "name": "TSMC",
      "type": "Organization",
      "co_occurrence_count": 28
    }
  ]
}