Documentation Index
Fetch the complete documentation index at: https://docs.gdeltcloud.com/llms.txt
Use this file to discover all available pages before exploring further.
Principle
Anchor analysis in GDELT Cloud generated data. The structured Events database is the backbone of the product: start from Events or Event summaries whenever the user asks what happened, where, how often, who was involved, whether risk is rising, or how a pattern is changing.- Events first for structured incidents, actors, geo, categories, fatalities, Goldstein scale, and CAMEO+ metrics.
- Stories second for clustered narratives and article evidence.
- Summaries for dashboards and trends.
- Entities for linked people and organizations.
REST Pattern
Event and Story list/summary endpoints default toconfidence_profile=precise for clean, analyst-ready results. Add confidence_profile=loose only when exhaustive/raw retrieval is required.
MCP Pattern
gdelt_cloud_tool_listgdelt_cloud_tool_getgdelt_cloud_tool_call- Enrich with
macro_finance_*,prediction_market_*, andweb_research_*when relevant.
Geography
Use plain English country names. ISO-3 and legacy FIPS aliases are accepted, but documented input and output should use names. For Events,country, region, and continent match broadly across location and actor-origin geography. For Stories, those filters match linked Event primary location only. admin1 filters location only and must be discovered by country through /api/v2/geo/admin1 or list_admin1.
Recommended Defaults
| Need | Default |
|---|---|
| Monitoring | sort=significance |
| Freshest items | sort=recent |
| Evidence preview | use inline top_articles |
| Full evidence | use /api/v2/stories/{story_id}/articles |
| Dashboards | use summary endpoints first |
| Geo | use country/region/continent names |
| Quality | keep confidence_profile=precise; use loose for exhaustive/raw retrieval |

