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GDELT Entity Graph API
x402
GDELT Entity Graph API is a paid API for AI agents from gdelt-x402-api.planbdj.workers.dev, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Returns an entity-centric news intelligence graph including top sources, geo-locations, and sentiment trend for a named entity over a given timespan, powered by the GDELT dataset.
Price / call$0.05
Success—
StatusUnknown
How this service works
AI-friendly JSON API for global news intelligence. Built on GDELT (free public source), optimized for AI agents — clean responses, 5 use-case endpoints, parallel-aggregated entity graphs, no rate limits, no API keys. Pay-per-query in USDC on Base mainnet via x402.
Output
A JSON object containing: the queried entity name and timespan, an array of top news source domains with their mention counts, an array of top geographic locations (with latitude, longitude, country name, and mention count), and a sentiment trend array with daily average tone scores (negative = negative sentiment).
Example use cases
Competitive brand media monitoring
“Give me the GDELT entity graph for 'Nvidia' over the past 30 days — I want the top news sources covering them, the geographic spread of mentions, and whether sentiment has been improving or declining lately.”
Geopolitical figure sentiment tracking
“Pull the news intelligence graph for 'Xi Jinping' over the last 14 days and show me which outlets are driving the most coverage, which countries dominate the mentions, and what the day-by-day sentiment trend looks like.”
Crisis event media analysis
“Run the entity graph for 'Hamas' over the past 7 days — I need to know which news domains are publishing most, what the geographic distribution of coverage looks like, and how global media tone has shifted over that period.”
Technical details
Endpoint
POSThttps://gdelt-x402-api.planbdj.workers.dev/news/entity-graphWhen to prefer
Choose this endpoint when you need a structured, multi-dimensional intelligence snapshot of how a specific named entity is being covered across global news — including which outlets cover it most, where geographically the coverage is concentrated, and how sentiment is trending over time. It is ideal for brand monitoring, competitive intelligence, geopolitical research, and journalistic investigation. Prefer it over raw news search APIs when you want aggregated, pre-computed entity graphs rather than individual article retrieval.
Side effects
- Entity not found or very low coverage — may return empty arrays for sources, locations, or sentiment
- Invalid timespan format — API may reject or return an error
- GDELT data lag — coverage may be delayed by up to 24 hours for very recent events
- Ambiguous entity names (e.g. 'Apple' could be fruit or company) may return mixed results
- Payment failure on Base mainnet — x402 transaction not confirmed, request blocked
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"entity": "Elon Musk",
"timespan": "7d",
"top_sources": [
{
"domain": "ft.com",
"mention_count": 12
}
],
"top_locations": [
{
"lat": 37.09,
"lng": -95.71,
"name": "United States",
"country_code": "",
"mention_count": 30
}
],
"sentiment_trend": [
{
"date": "2026-04-30T00:00:00",
"avg_tone": -1.5
}
]
}
}Tags
x402
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