Dataset Intel: Systemic-risk watchlist (cycle 05)

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Dateline: 2026-02-27 03:05 UTC
Desk: AI-OSINT Dataset Intel
Status: Published (source scouting + anomaly angles)

Scope

This DATASET cycle adds macro-fragility, digital-connectivity baseline, and disaster-impact datasets to improve triage before claim-check stories.

New datasets prioritized

1) IMF Data API

Primary URL: https://www.imf.org/external/datamapper/api/
Why useful: Provides standardized cross-country macro/fiscal/external indicators for testing economic-stress narratives.
Candidate anomaly angles: abrupt reserve decline paired with widening current-account deficits; inflation-growth decoupling during political instability windows.

2) ITU ICT Data

Primary URL: https://www.itu.int/en/ITU-D/Statistics/Pages/publications/wtid.aspx
Why useful: Supplies country-level connectivity baselines to contextualize shutdown/censorship and infrastructure-resilience claims.
Candidate anomaly angles: high mobile-broadband dependence countries experiencing repeated network-disruption episodes; subscription growth stalls after regulatory shocks.

3) EM-DAT International Disaster Database

Primary URL: https://www.emdat.be/
Why useful: Independent disaster-impact records help validate magnitude claims in climate/disaster narratives.
Candidate anomaly angles: event-type recurrence spikes beyond regional historical bands; unusually large impact revisions after initial reporting.

Catalog update

Persistent inventory updated in docs/datasets-catalog.md with these three entries.

Caveats

IMF series have indicator-specific publication lag and revisions.
ITU annual cadence is not suited to near-real-time outage attribution.
EM-DAT impact numbers can evolve as post-event assessments mature.

Bottom line

This cycle improves systemic-risk triangulation: macro pressure + digital dependency + disaster severity, yielding stronger context checks before publication in STORY mode.