GeopoliticalPulse Instability Signal is a paid API for AI agents from geopoliticalpulse.theaslangroupllc.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-13).
Detects pre-crisis conditions (coups, currency crises, civil unrest) by synthesizing GDELT sentiment, World Bank governance data, and OSINT into an early-warning signal for a given country or region.
Early-warning system for risk and intelligence agents. Combines GDELT sentiment, World Bank governance data, and open-source intelligence to detect pre-crisis conditions before they break: coups, currency crises, unrest.
An early-warning instability signal for the queried country or region, including a risk score or signal level, classification of the most likely crisis type (coup, currency crisis, civil unrest), contributing indicators from GDELT sentiment and World Bank governance data, and OSINT-derived context on pre-crisis conditions.
GEThttps://geopoliticalpulse.theaslangroupllc.com/api/geopolitical/instability-signalUse this endpoint when you need early-warning signals before a crisis becomes public news — particularly for coups, currency crises, or civil unrest. It is uniquely valuable over general country-risk endpoints because it synthesizes GDELT real-time sentiment with World Bank governance metrics to detect pre-crisis conditions, not just current risk levels. Prefer this over conflict-mapping or event-assessment endpoints when the goal is forward-looking detection of instability before it breaks.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"country": "Pakistan",
"instability_tier": "HIGH RISK",
"instability_score": 68,
"signal_categories": {
"economic_distress": {
"score": 8,
"signals": [
"IMF bailout negotiations",
"Inflation above 25%",
"Forex reserve crisis"
]
},
"political_dysfunction": {
"score": 7,
"signals": [
"Military-civilian tension",
"Former PM imprisoned",
"Constitutional disputes"
]
}
},
"analyst_assessment": "Pakistan exhibits multiple concurrent instability signals consistent with pre-crisis pattern...",
"timeline_probability": {
"major_instability_1y": "55%",
"major_instability_90d": "35%"
}
}
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