African & EM macro indicators
Helps EM research teams put company and tender signals in macro context by joining curated World Bank indicators to the same entity spine so they can move from anecdote to defensible country views.
GDP, inflation, population and more, built on World Bank Open Data with every value cited to its series and license — the context layer under fundamentals and tenders.
Proof: 12 countries · 12 indicators · 2,024 country-year values (2010–24) · plus a point-in-time layer — daily FX & monthly CPI/FX for 5 core markets, as_of-queryable · every value cites its World Bank series (CC BY 4.0) · live via /v1/macro · 4 provenance guarantees
What buyers do with AF-MACRO.
Context join
A research desk overlays inflation, FX and growth trends on fundamentals per country. Output: joined view. Value: one spine, zero reconciliation.
Country views
Move from anecdote to defensible country context — the same curated indicators under every company and tender signal. Output: CSV / API. Value: citable country baselines.
Agent grounding
Pull “Nigeria inflation” beside a company fundamental — with the series citation attached. Output: API / MCP. Value: macro answers that cite their source.
Twelve countries, twelve indicators.
Live figures are always available from /v1/quality-metrics/af-macro and the get_macro MCP tool. Coverage expands as indicators and countries are added.
Tradeable macro, as-of-queryable.
The annual indicators above are research-grade context. For quant and systematic desks we ship a point-in-time layer: series stored with two timestamps — release_date (the source’s publication) and observed_at (our ingest) — so a backtest as-of date D sees only what was known at D. No look-ahead. Revisions are kept as new vintages, never overwritten.
/v1/macro?series=…&as_of=YYYY-MM-DD returns the latest vintage known at that date — no look-aheadget_macro_series exposes the same point-in-time series to agents; revisions kept as new vintagesHonest coverage today: live now — daily ZAR/USD (ECB reference) plus monthly CPI (headline index + YoY) and monthly FX (LCU/USD) for all five markets, from the World Bank Global Economic Monitor (CC BY 4.0). Still to come, built and tested — each shipping the moment its source clears license review: daily FX for NGN/KES/EGP/GHS, native-statistics CPI with a true revision history, and central-bank policy rates. GEM figures are as-published monthly levels and ECB rates are indicative daily snapshots (~16:00 CET) — not executable fixings. We publish the exact coverage rather than overclaim.
Data dictionary.
| Field | Type | Description |
|---|---|---|
country_iso3 | string | ISO-3 country code (NGA, KEN, ZAF…). |
country_name | string | Country name. |
indicator_code | string | World Bank indicator code (e.g. FP.CPI.TOTL.ZG). |
indicator_name | string | Human-readable indicator name. |
year | integer | Observation year. |
value | number | Indicator value for the country-year. |
source_ref | string | World Bank series reference (S013:worldbank/<code>). |
license_class | string | License Register code (S013, World Bank Open Data, CC BY 4.0). |
Nigeria’s inflation, 2010–2024.
curl -H "x-api-key: your-key" \ "…/v1/macro?country=NGA&indicator=FP.CPI.TOTL.ZG"
Agents can call the same via the MCP get_macro tool — pulling “Nigeria inflation” beside a Dangote fundamental and a live tender, all citable.
Validate the World Bank lineage.
Like every Certvas product, AF-MACRO ships with its dictionary, provenance annex and measured metrics file. The free sample lets you validate the World Bank lineage for yourself.