GDELT News Sentiment Timeline API is a paid API for AI agents from news-x402.com, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Returns a time-series of average news sentiment (tone) for a given topic, optionally filtered by country and time window, drawn from GDELT global news data
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.
A JSON object containing the topic string, the timespan used, and a timeline array where each element has a date (ISO timestamp) and avg_tone (a float, negative = negative tone, positive = positive tone) representing average GDELT news sentiment for that period.
POSThttps://news-x402.com/news/sentimentUse this endpoint when you need a quantitative time-series of news sentiment (tone scores) for a specific topic rather than just headlines or article lists. Ideal for trend analysis, geopolitical monitoring, and AI agent workflows that need structured numeric sentiment data with no API key setup — just pay per query in USDC on Base.
{
"input": {
"type": "http",
"method": "GET",
"queryParams": {
"topic": "artificial intelligence",
"timespan": "7d"
}
}
}| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"topic": "artificial intelligence",
"timeline": [],
"timespan": "7d"
}{
"type": "json",
"example": {
"topic": "ukraine",
"timeline": [
{
"date": "2026-04-30T00:00:00",
"avg_tone": -2.1
}
],
"timespan": "7d"
}
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