Decision-support intelligence for geopolitical and economic events.
NarrativeRadar is a decision-support intelligence tool that identifies relevant geopolitical and economic events, compares competing narratives around those events, separates observable facts from interpretations, and highlights conditional scenarios with potential market implications.
All conclusions are left to the reader. NarrativeRadar does not tell you what to think — it shows you what different sources are saying and where they disagree.
NarrativeRadar continuously monitors over 130 sources across 8 geopolitical information blocks: Western media, Russian media, Chinese media, Middle Eastern media, African media, official government channels, financial press, and regional outlets.
When multiple sources report on the same development, the system identifies the event and compares how different blocks frame the same set of facts. Every event is structured into three strict layers:
Analysis is refreshed automatically as new articles arrive. Events are tracked at three depth levels depending on source coverage: Deep Analysis, Standard Analysis, and Brief Summary.
Analysis is generated using AI models applied to articles from independent sources. All output is structured, validated, and constrained by editorial rules that enforce neutrality and layer separation.
Every event page includes a byline disclosing that analysis is AI-assisted and editorially supervised, along with the number of source articles used.
Sources are selected for geographic and editorial diversity, not ideological alignment. The 8 information blocks ensure that every major event is covered from multiple perspectives, allowing readers to see where narratives converge and where they diverge.
Consider a typical NarrativeRadar event: a sanctions package against Russian oil exports. The same announcement appears across Western, Russian, Chinese and Middle Eastern outlets on the same day. Headlines diverge sharply: Western coverage leads with "new enforcement teeth" and shadow-fleet figures, Russian coverage leads with India and China absorbing redirected supply, Chinese coverage emphasises the precedent for secondary sanctions.
NarrativeRadar pulls the article cluster, extracts the observable facts both sides agree on (the package size, the date, the named designations), then separately structures the two competing narratives — labelled, attributed, and limited to claims actually made by the underlying sources. A divergence point flags exactly where they disagree: Western sources give a revenue-impact estimate of 12–15 percent; Russian sources cite a single-digit impact citing redirected exports. Both numbers are preserved verbatim. The reader sees both and decides.
What NarrativeRadar does not do in that example: label one estimate as wrong, recommend a trade based on the disagreement, or interpolate a "balanced" midpoint. The product's value is in keeping the two readings side by side.
Every event is reviewed by the editorial lead before publication. The full editorial process — three automated checks, abstention rules, and corrections workflow — is documented on the methodology page.
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