Context between rating reviews
Daily Signals cover locally reported unrest, policy changes, disasters and displacement in the markets you lend to, between scheduled reviews.
Commercial
Living Signals follows local reporting between rating reviews and around project sites, and turns it into structured, sourced data on the markets you lend to.
Built for: Banks, asset managers, export-credit agencies and development-finance institutions.
Why it matters
Daily Signals cover locally reported unrest, policy changes, disasters and displacement in the markets you lend to, between scheduled reviews.
Filter to the districts around a project to see what communities, local officials and regional outlets are saying.
Reporting on community tensions, displacement and harm to vulnerable groups tells E&S teams what to ask about before they commit, and what to keep watching afterwards.
Bring Signals into risk models and internal dashboards through the REST API, with links back to every source.
Use cases
Daily developments between rating reviews.
Check local reports of protests, strikes and policy changes when you update a country-risk view.
Every covered country you hold, in one view.
Review new Signals across the countries in your portfolio and compare how the reporting changes over time.
Know what is reported near a project.
Screen a project area for land disputes, protests, displacement and security incidents before committing, then keep watching after financial close.
Plug local Signals into your own tools.
Use the REST API or exports to bring Signals into existing risk platforms, or query them from an AI assistant through MCP.
From the data
A convoy of 971 fuel tankers reached Mali’s capital under military escort.
Why it matters here
Fuel supply affects power, transport and prices. Reporting in English, French and Russian documented the convoy’s arrival under military escort, the kind of detail a country-risk view of Mali needs.
Demo data covers one month in DR Congo, Cameroon and Mali.
Prediction-ready data
In recent tests of AI forecasting systems, about three-quarters of the variation in forecast quality came from the research step (source: FutureSearch, August 2026, opens in a new tab), not the reasoning. We structure local-language reporting from frontier markets that most models never read, ready for your own risk models.
Source: FutureSearch, August 2026
How it fits
Search, map and filter Signals for your countries, updated overnight.
Signals and claims as files, with a link to every source article.
The same data through a documented API, for your own models and tools.
Ask Claude and other AI assistants questions about the data.
Sample brief
We will put together a short brief from our data on one country you cover.
Talk to sales
See what we hold on a market or project area you finance, with the local articles behind each Signal.