Returns AI-coded CAMEO+ multi-domain event records derived from GDELT news clusters. Events span nine universal domains: POLITICAL, ECONOMIC, CORPORATE, TECHNOLOGY, INFRASTRUCTURE, ENVIRONMENT, HEALTH, DEMOGRAPHIC, and INFORMATION. Each event carries four latent attributes (magnitude, systemic_importance, propagation_potential, market_sensitivity) extracted by AI reasoning, and links back to the source media event cluster via cluster_id.
API key format: gdelt_sk_<64-hex-chars>. Generate in Dashboard → Settings → API Keys.
Lookback window in days from date. Default 1 = today only.
1 <= x <= 30Anchor/end date (YYYY-MM-DD). Defaults to today UTC.
"2026-07-03"
Number of events to return (max 100). Default 20.
1 <= x <= 100Pagination offset.
x >= 0Filter by CAMEO+ domain.
POLITICAL, ECONOMIC, CORPORATE, TECHNOLOGY, INFRASTRUCTURE, ENVIRONMENT, HEALTH, DEMOGRAPHIC, INFORMATION CAMEO+ event code (e.g. EC02, TE01, HE02, CO01). Must be a valid code for the given domain.
"EC02"
Full English country name where the event is most relevant (e.g. 'United States', 'Germany', 'China').
"United States"
Minimum magnitude score (0–10). Domain-specific intensity scale.
0 <= x <= 106
Minimum systemic importance (0–1). How much this event affects the broader system.
0 <= x <= 10.7
Minimum market sensitivity (0–1). Expected financial market impact.
0 <= x <= 10.8
Natural-language semantic search query. When provided, results are ranked by embedding cosine similarity instead of chronological order. Fully combinable with all other filters. Examples: 'central bank interest rate inflation', 'AI model capability release', 'hurricane disaster relief', 'trade tariff export controls'.
"central bank interest rate inflation"