Data Dictionary — Global Economic Impact Analysis Platform

A complete reference of every data point collected, where it comes from, and how it's used.

Last updated: 2026-04-03

Credibility Scoring Data (53 countries, daily)

These feed the 0-100 credibility score.

1. Consumer Price Index (CPI) — Inflation

What it is: Measures how much more expensive a basket of everyday goods (food, rent, fuel, etc.) has become compared to last year. If CPI inflation is 5%, things cost 5% more than a year ago.

Source (indirect): We don't collect prices ourselves. National statistics offices (e.g., Turkey's TurkStat, India's MoSPI) compile CPI from surveys of thousands of shops. They publish the data, and it flows through intermediaries:

• FRED (Federal Reserve Bank of St. Louis) repackages OECD's Main Economic Indicators dataset — gives us monthly CPI index for 27 countries
• IMF IFS (International Financial Statistics) collects CPI from member country statistics offices — gives us monthly CPI for 26 additional countries, but their server frequently goes down
• OECD publishes CPI directly from member countries — fills gaps for 5 countries (Colombia, Argentina, Bulgaria, Croatia, Saudi Arabia) not covered by FRED
• IMF Datamapper provides annual CPI as a fallback when no monthly source is available

How we use it: We compute Year-over-Year inflation rate and 3-month annualized inflation from the monthly index. Then we compare it to the central bank's inflation target. The gap between actual inflation and target is the core input to the Credibility Gap sub-score. A CB with inflation of 40% and a target of 5% scores terribly. One with inflation of 2.1% and a target of 2% scores well.

Internal indicators: CPI_MONTHLY_INDEX, CPI_HEADLINE, CPI_YOY, CPI_3M3M_ANN

2. Policy Interest Rate

What it is: The interest rate set by the central bank — their main tool to fight inflation. When the CB raises rates, borrowing gets expensive, spending slows, and inflation should come down. This is the CB's main lever.

Source (indirect): Each central bank announces its rate after policy meetings. The Bank for International Settlements (BIS) in Basel collects these announcements from all member central banks and publishes them in a standardized SDMX format. We fetch from the BIS API — so the original source is each central bank, but we access it through BIS.

Coverage: ~45 countries, updated within days of rate decisions.

How we use it: Core input to the Behind the Curve sub-score. We plug the policy rate into a Taylor Rule model: given current inflation and economic activity, what should the rate be? If the actual rate is much lower than the Taylor-implied rate, the CB is "behind the curve" — not tightening enough. We also compute the real interest rate (policy rate minus inflation) and track its historical percentile.

Internal indicator: POLICY_RATE

3. OECD Composite Leading Indicator (CLI)

What it is: An index designed to signal turning points in the business cycle 6-9 months ahead. 100 = on trend. Above 100 = economy expanding faster than trend. Below 100 = slowing. Built from components like order books, building permits, stock prices, and interest rate spreads — things that move before GDP does.

Source (indirect): The OECD compiles CLI from national data sources for each member/partner country. We fetch from the OECD SDMX API.

Coverage: ~18 countries (OECD members + major partners like China, India, Brazil).

How we use it: Proxy for the "output gap" in the Taylor Rule. If CLI > 100 (economy running hot), the Taylor Rule says rates should be higher. If CLI < 100 (economy cooling), rates can be lower. Countries without CLI data get a simpler Taylor Rule that assumes zero output gap.

Internal indicator: OECD_CLI

4. FX Exchange Rates

What it is: How much one unit of each country's currency costs in US dollars. E.g., 1 USD = 32 Turkish Lira means TRY/USD = 32.

Source: The European Central Bank euro foreign-exchange reference rates — a free daily mid-market feed (~30 currencies including the major EM). We cross against USD to express every rate as currency-per-USD. (We moved off Open Exchange Rates in the 2026 free-data pivot — OXR was a paid/redistribution-restricted vendor; the ECB feed is free and openly licensed.)

Coverage: ~30 reference currencies covering the scored countries (EUR covers both Germany and Croatia; dollarized economies are pinned to 1.0).

How we use it: Three things:

1. FX returns — we compute 1-day, 7-day, and 30-day percentage depreciation. Shown on the dashboard as a market signal alongside credibility scores.
2. FX passthrough signal — rapid currency depreciation makes imports more expensive, feeding inflation. This is a sub-signal in the Behind the Curve score.
3. Backtest validation — we test whether drops in credibility score predict subsequent currency weakness. If our score is useful, low-credibility countries should see their currencies underperform.

Internal indicators: FX_RATE_USD, FX_RETURN_1D, FX_RETURN_7D, FX_RETURN_30D

5. Geopolitical Events (GDELT)

What it is: A database of every reported political and conflict event worldwide, extracted automatically from news articles in 100+ languages. Each event has: who did what to whom (CAMEO event taxonomy, ~300 types), how conflictual/cooperative it was (Goldstein scale, -10 to +10), how many news articles mentioned it, and the emotional tone of reporting.

Source (indirect): The GDELT Project processes ~300K news articles daily using NLP to extract structured events. The data is stored in Google BigQuery. We query it via BigQuery SQL with our own GCP service account. So the original source is global news media, processed by GDELT's NLP pipeline.

Coverage: Global — every country, every day. We fetch events for our 53 scored countries.

How we use it: We maintain an impact matrix (a JSON lookup table) that maps CAMEO event types to economic impacts based on country characteristics. For example:

• "Military buildup" (CAMEO 15) → high impact on countries that are net energy importers (could disrupt supply)
• "Trade sanctions" (CAMEO 163) → high impact on trade-dependent economies
• "Diplomatic praise" (CAMEO 05) → low impact, positive

Each event gets a weighted score based on its Goldstein scale, mention count (more mentions = bigger deal), and recency (recent events matter more). The average across all events for a country in the last 30 days produces the Geopolitical Pressure sub-score.

Internal indicator: GEOPOLITICAL_PRESSURE

6. Central Bank Policy Statements

What it is: The official text that central banks publish after monetary policy meetings. These statements signal the CB's thinking — are they worried about inflation (hawkish)? Or focused on growth (dovish)? Markets move on subtle word changes.

Source (direct): We scrape the actual central bank websites. Each CB has a unique URL pattern — we first fetch the "meetings" or "press releases" listing page, extract links to individual statements, then fetch the statement text. This is direct from the source, no intermediary.

Coverage: 10 central banks with English-language statements: Turkey (CBRT), Brazil (BCB), South Africa (SARB), India (RBI), Indonesia (BI), Mexico (Banxico), Poland (NBP), Hungary (MNB), Chile (BCCh), Colombia (BanRep).

How we use it: Each statement is run through two NLP models:

1. CentralBankRoBERTa — a RoBERTa model fine-tuned on central bank text. Classifies each sentence as hawkish, neutral, or dovish. Deterministic and fast. Gives a score from -1 (very dovish) to +1 (very hawkish).
2. Claude Haiku (via LiteLLM) — an LLM that reads the statement and extracts a nuanced hawk/dove assessment. Better at understanding context but more expensive.

The two scores are blended (60% RoBERTa + 40% Claude) to produce the Communication Stance sub-score. We also compute a "stance-vs-action gap" — if a CB sounds hawkish but hasn't been raising rates, that's a credibility problem.

Internal indicator: COMMUNICATION_STANCE

7. Country LLM Summaries

What it is: A daily prose summary for each scored country — an executive summary (2-3 sentences for a PM) and an analyst brief (longer, for research notes).

Source (direct): Generated by Claude Sonnet via LiteLLM. The prompt includes the country's current scores, recent events, and latest CB statement. So the source is our own LLM generation, grounded in our data.

Coverage: Generated for all 53 scored countries, daily.

How we use it: Displayed on the country detail page. Not used in scoring — purely for human consumption. Gives context that numbers alone can't convey.

DB table: country_summaries

Macro Fundamentals Data (171 countries, annual)

These are not yet used in scoring — they're the data foundation for future vulnerability indices and impact analysis (Phases 3-8). Currently displayed in the Macro Data and Data Coverage dashboard pages.

8. GDP Growth (annual %)

What it is: How much bigger (or smaller) the entire economy got compared to last year, in real terms (adjusted for inflation). 3% growth is healthy for an EM. Negative means recession.

Source (indirect):

• World Bank WDI — compiles from national accounts data published by each country's statistics office. Annual, covers 171 countries. Typically 6-18 months lag.
• IMF WEO — the IMF's own estimates + forecasts. Published twice yearly (April and October). Covers 169 countries, includes 5-year forward projections. So "2027 GDP growth" from WEO is a forecast, not a measurement.

How we use it (today): Displayed on the Macro Data dashboard page. Users can compare GDP growth across all 171 countries, filter by region, sort by value.

How we'll use it (future): Core input to the Growth Fragility vulnerability index (Phase 5). Countries with declining or volatile GDP growth are more fragile.

Internal indicators: GDP_GROWTH_ANNUAL, WEO_GDP_GROWTH

9. GDP per Capita (USD)

What it is: Total economic output divided by population. A rough measure of average living standards. Luxembourg at $130K vs Burundi at $230 tells you very different stories.

Source (indirect): World Bank WDI, which gets it from national accounts (GDP) and UN population estimates. 171 countries.

How we use it: Context for comparisons. A 5% GDP growth in India means something different than 5% in Switzerland. Not directly scored.

Internal indicator: GDP_PER_CAPITA_USD

10. Unemployment Rate

What it is: The percentage of people who want to work but can't find a job, out of the total labor force.

Source (indirect):

• World Bank WDI (170 countries) — compiles from ILO modeled estimates and national labor force surveys
• ILO ILOSTAT (167 countries) — the International Labour Organization's own estimates, harmonized across countries for comparability
• IMF WEO (107 countries) — IMF staff estimates + forecasts

All three are modeled/estimated — true unemployment is hard to measure, especially in developing countries with large informal sectors.

How we use it (future): Input to Growth Fragility index. Rising unemployment signals economic weakness and social pressure on the CB to cut rates (even if inflation is high).

Internal indicators: UNEMPLOYMENT_RATE, UNEMPLOYMENT_RATE_ILO, WEO_UNEMPLOYMENT

11. Labor Force Participation Rate

What it is: What percentage of working-age people (15+) are either employed or actively looking for work. If only 50% participate, half the working-age population is neither working nor job-hunting (students, retirees, discouraged workers, homemakers).

Source (indirect): ILO ILOSTAT (166 countries), based on modeled estimates from national labor force surveys.

How we use it: Context indicator. A country can have low unemployment but also low participation — meaning many people have given up looking. True labor market health needs both numbers.

Internal indicator: LABOR_FORCE_PARTICIPATION

12. Trade Openness (% of GDP)

What it is: (Total Exports + Total Imports) / GDP. Measures how intertwined a country's economy is with the rest of the world. Singapore at ~300% is extremely open. Brazil at ~30% is relatively closed.

Source (indirect): World Bank WDI (163 countries), compiled from balance-of-payments data reported by national central banks to the IMF.

How we use it (future): Key input to External Vulnerability. Highly open economies are more exposed to global trade shocks — a worldwide recession hits them harder.

Internal indicator: TRADE_OPENNESS

13. Current Account Balance (% of GDP)

What it is: The broadest measure of a country's international transactions. Includes trade in goods and services, investment income, and transfers. Negative means the country is spending more internationally than it earns — it needs foreign capital to fill the gap.

Source (indirect):

• World Bank WDI (165 countries) — from IMF Balance of Payments data
• IMF WEO (169 countries) — IMF staff estimates + forecasts

How we use it (future): Critical input to External Vulnerability. A country running a large current account deficit (say, -8% of GDP) depends heavily on foreign investors continuing to lend. If confidence drops, capital flees, the currency collapses, and inflation spikes. This is the classic EM crisis pattern (Turkey 2018, Argentina repeatedly).

Internal indicators: CURRENT_ACCOUNT_PCT_GDP, WEO_CURRENT_ACCOUNT_PCT_GDP

14. Government Debt (% of GDP)

What it is: How much the government owes in total, relative to the size of the economy. Japan at 250% is an outlier. Below 60% is generally considered manageable for EMs.

Source (indirect):

• World Bank WDI (77 countries only — sparse coverage)
• IMF WEO (167 countries — much better, includes forecasts)

The two sources can differ because they use different debt definitions (gross vs net, central govt vs general govt).

How we use it (future): Core input to Fiscal Vulnerability index. High debt means the government has less room to stimulate during downturns, pays more interest, and faces higher default risk. Markets price this into bond yields and CDS spreads.

Internal indicators: GOVT_DEBT_TO_GDP, WEO_GOVT_DEBT_PCT_GDP

15. External Debt (% of GNI)

What it is: How much the country (government + private sector) owes to foreign creditors, relative to national income. Unlike government debt, this includes corporate and bank borrowing from abroad.

Source (indirect): World Bank WDI (111 countries), compiled from the World Bank's Debtor Reporting System and IMF data. Many high-income countries don't report to this system, hence the coverage gap.

How we use it (future): Key input to External Vulnerability. If external debt is high and denominated in foreign currency (usually USD), a currency depreciation makes the debt harder to service. This is the "original sin" problem — borrowing in dollars when you earn in pesos.

Internal indicator: EXTERNAL_DEBT_TO_GNI

16. FDI Inflows (% of GDP)

What it is: Foreign Direct Investment — when a foreign company builds a factory, acquires a local firm, or makes a long-term capital commitment. Unlike portfolio flows (buying stocks/bonds), FDI is "sticky" — it doesn't flee overnight.

Source (indirect): World Bank WDI (170 countries), from IMF Balance of Payments and UNCTAD data.

How we use it: Positive signal — countries attracting FDI are seen as stable and growing. But high FDI dependence also means the economy relies on foreign confidence. Displayed in macro dashboard.

Internal indicator: FDI_PCT_GDP

17. Remittances (% of GDP)

What it is: Money sent home by citizens working abroad. For some countries (Nepal ~25%, El Salvador ~24%), this is a huge part of national income.

Source (indirect): World Bank WDI (163 countries), estimated from central bank and IMF data on cross-border personal transfers.

How we use it (future): Countries heavily dependent on remittances are vulnerable to economic downturns in the host countries where their diaspora works. A US recession hits Central American remittance flows hard.

Internal indicator: REMITTANCES_PCT_GDP

18. Foreign Reserves (Months of Imports)

What it is: How many months the central bank's foreign currency reserves could pay for the country's imports, if all other income stopped. The IMF considers 3 months the minimum safety level.

Source (indirect): World Bank WDI (157 countries), computed from IMF reserve data and import volumes.

How we use it (future): Critical External Vulnerability signal. A country with 1 month of reserves can't defend its currency if capital flees. One with 12 months can weather a crisis. This is the first thing investors check during EM stress.

Internal indicator: RESERVES_MONTHS_IMPORTS

19. IMF Inflation Forecast

What it is: The IMF's projection for consumer price inflation in each country, including 5-year forward estimates.

Source (indirect): IMF WEO (169 countries). Published April and October.

How we use it (future): Forward-looking complement to actual CPI. If the IMF expects inflation to stay elevated, the credibility gap may persist even if the CB is tightening.

Internal indicator: WEO_INFLATION

Phase 1b: Global Context + Financial Indicators

These close the "frequency cliff" — giving us daily/monthly/quarterly data alongside the annual fundamentals.

20. VIX (Volatility Index)

What it is: The CBOE Volatility Index — often called the "fear gauge." Measures expected stock market volatility over the next 30 days. When VIX spikes above 30, markets are panicking. Below 15 = calm.

Source (indirect): FRED (VIXCLS). CBOE computes it from S&P 500 options prices. Daily.

How we use it (future): Global risk appetite proxy. When VIX spikes, capital flees EM. Every country's vulnerability score should incorporate global risk conditions.

Internal indicator: VIX (stored as country_iso = GLOBAL)

21. Crude Oil Prices (WTI + Brent)

What it is: Spot price of crude oil in USD/barrel. WTI (West Texas Intermediate) is the US benchmark; Brent is the international benchmark. Oil is the single most important commodity for macro analysis.

Source (indirect): FRED (DCOILWTICO for WTI, DCOILBRENTEU for Brent). Daily.

How we use it (future): Commodity shock input. Oil importers (India, Turkey) suffer when oil rises; exporters (Saudi Arabia, Russia) benefit. The impact engine will propagate oil shocks through country-specific import/export exposures.

Internal indicators: WTI_CRUDE_OIL, BRENT_CRUDE_OIL (stored as country_iso = GLOBAL)

22. USD Index (DXY)

What it is: Trade-weighted USD index — measures the dollar's strength against a basket of major currencies. When DXY rises, the dollar is strengthening.

Source (indirect): FRED (DTWEXBGS). Federal Reserve Board computes it. Daily.

How we use it (future): Dollar strength drives EM FX pressure. A strong dollar means EM countries pay more (in local currency) for dollar-denominated imports and debt service. Critical input for external vulnerability scoring.

Internal indicator: USD_INDEX_DXY (stored as country_iso = GLOBAL)

23. Gold Price

What it is: London AM gold fixing price in USD per troy ounce. Gold is both a commodity and a safe-haven asset.

Source (indirect): FRED (GOLDAMGBD228NLBM). ICE Benchmark Administration sets the fixing. Daily.

How we use it (future): Safe-haven demand indicator. Gold spikes during crises. Also relevant for gold-exporting countries (South Africa, Peru, Ghana).

Internal indicator: GOLD_PRICE (stored as country_iso = GLOBAL)

24. Copper Price

What it is: Global copper price in USD per metric ton. Copper is called "Dr. Copper" because its demand tracks industrial activity — it's in wiring, plumbing, electronics, construction.

Source (indirect): FRED (PCOPPUSDM). World Bank commodity data. Monthly.

How we use it (future): Industrial activity proxy. When copper prices drop, global manufacturing is slowing. Especially relevant for copper exporters (Chile, Peru, Zambia).

Internal indicator: COPPER_PRICE (stored as country_iso = GLOBAL)

25. Sovereign Bond Yield (10-Year)

What it is: The annual interest rate a government pays to borrow money for 10 years. This is the market's real-time verdict on country risk. Higher yield = market demands more compensation for lending to that country.

Source (indirect): FRED (IRLTLT01 series from OECD). Monthly. 15 countries: USA, DEU, GBR, JPN, CAN, AUS, BRA, MEX, KOR, IND, ZAF, TUR, IDN, POL, HUN.

How we use it (future): The single most important signal for institutional users. Yield spreads (country yield minus US yield) are the market's risk premium for each country. A widening spread means investors are getting nervous.

Internal indicator: SOVEREIGN_YIELD_10Y

26. Credit to GDP Ratio

What it is: Total credit to the private non-financial sector as a percentage of GDP. Measures how leveraged the private sector is relative to the economy's size. High and rising credit-to-GDP is the best known early-warning of financial crises (per BIS research).

Source (indirect): BIS (WS_TC_PRIV dataflow). Quarterly. ~45 countries.

How we use it (future): Core input for Fiscal Vulnerability and Growth Fragility indices. A credit-to-GDP ratio above its long-term trend (the "credit gap") has historically preceded banking crises by 1-3 years.

Internal indicator: CREDIT_TO_GDP

27. Debt Service Ratio

What it is: How much of a country's income goes to servicing debt (interest + principal payments). A ratio above 20% is considered dangerous — the country is spending so much on debt that it can't invest or absorb shocks.

Source (indirect): BIS (WS_DEBT_SEC dataflow). Quarterly. ~30 countries.

How we use it (future): Crisis precursor. Countries with high debt service ratios are fragile — any interest rate increase or income shock can push them into distress.

Internal indicator: DEBT_SERVICE_RATIO

28. Real Effective Exchange Rate (REER)

What it is: A trade-weighted exchange rate adjusted for inflation differences between countries. An index above 100 means the currency is "overvalued" relative to its trading partners — the country's goods are expensive, hurting competitiveness.

Source (indirect): BIS (WS_EER dataflow). Monthly. ~60 countries.

How we use it (future): Competitiveness measure. An overvalued REER signals devaluation risk. Countries with persistently overvalued REERs tend to experience sudden corrections (currency crises).

Internal indicator: REER

29. Current Account Balance (Quarterly)

What it is: The sum of a country's trade balance, net income from abroad, and net transfers — measured quarterly in USD. A negative current account means the country is spending more abroad than it earns, requiring capital inflows to finance the gap.

Source (indirect): IMF IFS (BCA_BP6_USD). Quarterly. ~80 countries.

How we use it (future): Core External Vulnerability signal. Countries with large current account deficits depend on foreign capital. When global risk appetite drops (VIX spikes), these countries are most vulnerable to "sudden stops."

Internal indicator: BOP_CURRENT_ACCOUNT

30. Foreign Reserves (Quarterly)

What it is: Central bank's foreign currency reserves excluding gold, measured monthly in USD. This is the war chest available to defend the currency.

Source (indirect): IMF IFS (RAFA_USD). Monthly. ~120 countries.

How we use it (future): Quarterly complement to the annual World Bank reserves data. More timely — shows reserve drawdowns in near-real-time rather than with a 1-2 year lag.

Internal indicator: BOP_RESERVES

31. Trade Balance (Quarterly)

What it is: Exports minus imports of goods and services, measured quarterly in USD. Positive = trade surplus (exporting more than importing).

Source (indirect): IMF IFS (BGS_BP6_USD). Quarterly. ~80 countries.

How we use it (future): Input to trade channel in the impact engine. Countries with trade deficits are net importers — they're vulnerable to commodity price shocks and currency depreciation.

Internal indicator: BOP_TRADE_BALANCE

32. Net Portfolio Investment Flows (Quarterly)

What it is: Net flows of portfolio investment (stocks + bonds) into and out of a country, measured quarterly in USD. Positive = foreign investors buying more of the country's assets than they're selling.

Source (indirect): IMF IFS (BFPF_BP6_USD). Quarterly. ~60 countries.

How we use it (future): Investor confidence signal. When portfolio flows turn sharply negative, foreign investors are pulling money out — a precursor to currency pressure and rate hikes.

Internal indicator: BOP_PORTFOLIO_FLOWS

33. Bilateral Trade Flows (10-Year History)

What it is: Annual bilateral trade data — which country exports/imports how much to/from which partner, by commodity group. Now with 10 years of history (2014-present) instead of just the latest year.

Source (indirect): UN Comtrade (200+ country pairs). Annual. Free preview endpoint.

How we use it (future): Foundation for the trade linkage matrix — who depends on whom for trade. "If China's imports drop 10%, who loses the most?"

Internal indicators: TRADE_EXPORT_TOTAL_USD, TRADE_IMPORT_TOTAL_USD

34. Worldwide Governance Indicators (WGI) — Institutional Quality

What it is: Six World Bank governance estimates — Voice & Accountability, Political Stability & Absence of Violence, Government Effectiveness, Regulatory Quality, Rule of Law, and Control of Corruption. Each runs roughly −2.5 (weak) to +2.5 (strong) and reflects the institutional environment a central bank operates within.

Source: World Bank WGI (~207 countries, annual).

How we use it: The six estimates are mapped to a 0–100 scale and averaged into a Governance score — the seventh composite dimension (w7 = 0.11). Institutional quality is slow-moving but matters: a credibility regime sits on top of the rule of law, policy independence, and corruption control that WGI measures. High-governance economies (e.g. Norway, Germany) score in the high 70s–80s; weak-institution economies score in the teens–low 30s.

Internal indicators: WGI_VOICE_ACCOUNTABILITY, WGI_POLITICAL_STABILITY, WGI_GOVT_EFFECTIVENESS, WGI_REGULATORY_QUALITY, WGI_RULE_OF_LAW, WGI_CONTROL_CORRUPTION, GOVERNANCE_SCORE

How It All Fits Together

DAILY DATA (53 + global)          MONTHLY/QUARTERLY              ANNUAL DATA (171 countries)
┌────────────────────┐        ┌─────────────────────┐        ┌─────────────────────────┐
│ CPI, Rates, FX,    │        │ Sovereign Yields,   │        │ GDP, Debt, Trade, FDI,  │
│ GDELT, VIX, Oil,   │        │ REER, Credit/GDP,   │        │ Unemployment, Reserves, │
│ DXY, Gold, CB Stmts│        │ BOP (CA, Reserves,  │        │ Comtrade (10yr), WEO    │
└────────┬───────────┘        │ Trade, Portfolio),   │        └────────────┬────────────┘
         │                    │ Copper               │                     │
         │                    └──────────┬───────────┘                     │
         ▼                               ▼                                 ▼
4 Sub-scores (0-100)           FUTURE: Quarterly              Macro Data Explorer
┌──────────────────┐           Vulnerability Updates          (dashboard pages)
│ Gap + BTC + Comm │                   │                            │
│ + Geopolitical   │                   │                            │
└────────┬─────────┘                   │                            │
         │                             │                            │
         ▼                             ▼                            ▼
   Composite Score              FUTURE: Vulnerability         FUTURE: Impact
   (weighted avg)               Indices (Phase 5)             Analysis Engine
         │                                                    (Phase 7-8)
         ▼
   Dashboard + API

The daily credibility data produces actionable scores today. The annual macro data is the foundation for the vulnerability indices and impact analysis engine coming in future phases.

Coverage Summary

Total: ~37 indicators, 171 countries + global context, 15+ data sources.