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Themes

Gildea classifies every signal into a two-axis taxonomy:

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Taxonomy axes

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Value chain (value_chain)

Where in the AI value chain does this signal sit? Examples: Foundation Models, AI Infrastructure, Enterprise Applications, Data & Labeling, AI Safety & Governance

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Market force (market_force)

What market dynamic does this signal represent? Examples: Competitive Dynamics, Supply & Demand, Regulatory & Policy, Investment & M&A, Talent & Workforce

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Theme intelligence

Each theme has:
  • Signal count — total signals tagged with this theme
  • Trend stats — same momentum/z-score/persistence metrics as entities
  • Related themes — themes that frequently co-occur

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Using themes as filters

Themes are powerful filters across the API: 
# Signals about AI Infrastructure
curl -H "X-API-Key: gld_your_key" \
  "https://api.gildea.ai/v1/signals?theme=AI%20Infrastructure"

# Entities in the Foundation Models space
curl -H "X-API-Key: gld_your_key" \
  "https://api.gildea.ai/v1/entities?theme=Foundation%20Models"

# Search within a theme
curl -H "X-API-Key: gld_your_key" \
  "https://api.gildea.ai/v1/search?q=chip+shortage&theme=Supply%20%26%20Demand"

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Theme detail

The theme detail endpoint returns co-occurring themes, revealing connections across the taxonomy: 
{
  "axis": "value_chain",
  "label": "Foundation Models",
  "signal_count": 45,
  "trend": { "momentum_wow": 0.50, "..." : "..." },
  "related_themes": [
    {
      "axis": "market_force",
      "label": "Competitive Dynamics",
      "co_occurrence_count": 32
    }
  ]
}