worldbank-apiFetch country-level economic and development data (GDP, population, inflation, unemployment, life expectancy, CO2, poverty, trade...) with the free World Ban...
Install via ClawdBot CLI:
clawdbot install nanookai/worldbank-apiGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.worldbank.org/v2`Audited Sep 29, 2026 · audit v1.0
Generated Sep 29, 2026
An investment research team pulls GDP growth, inflation, unemployment, and exchange rate series for 30+ economies to build a quarterly macro dashboard. Analysts use the bundled script to batch-fetch indicator ranges via ISO codes and compare countries side-by-side. The results drive regional allocation decisions and client-facing market commentary.
An NGO or development bank tracks poverty headcount, Gini index, life expectancy, and CO2 emissions across program countries to report on intervention outcomes. The team fetches historical series back to 1960 and regional aggregates (SSF, LCN) to contextualize country-level progress. Automated pulls keep annual impact reports accurate and reproducible.
University students and researchers gather cross-country panels of GDP per capita, urbanization, internet penetration, and trade ratios for econometric analysis. The no-key API and stdlib-only script make it easy to pull 200-country panels without procurement or signup friction. Data is exported to CSV or JSON for regression modeling in R or Stata.
A sustainability consultancy screens sovereign exposure using CO2 emissions per capita, renewable energy indicators, and income-level classifications. Analysts combine World Bank series with country metadata (region, income group) to score climate transition risk by market. The keyword search feature helps discover lesser-known environmental indicator codes quickly.
A newsroom data desk builds interactive stories comparing income groups, life expectancy, and poverty rates across decades and regions. Reporters use the World Bank API to fetch latest-available values with mrnev and gapfill for clean visualizations. Country aggregates like HIC, LMC, and LIC provide the narrative framing for readers.
A SaaS product wraps the World Bank API with cleaned, cached, and versioned macroeconomic datasets served through a paid REST endpoint. Value-add includes normalization, currency adjustments, and SLA-backed uptime that the free World Bank API does not guarantee. Target customers are fintechs and analytics platforms that need reliable programmatic macro data.
A web application visualizes World Bank indicators as interactive charts, heatmaps, and country comparison tools for non-technical users. Premium tiers add custom alerts, PDF report exports, and team collaboration features. The underlying data is free, so margins come from UX, workflow integration, and curation.
A boutique firm publishes paid quarterly macro outlooks and bespoke country risk assessments built on World Bank indicator analysis. Clients pay for interpretation, forecasting, and sector-specific recommendations rather than raw data access. The API powers the analytical backbone while human expertise drives the price point.
💬 Integration Tip
Always append format=json to every request and set per_page high (e.g., 20000) to avoid silent pagination issues when pulling multi-country series. Use mrnev instead of mrv when you need the genuinely latest reported value, since many indicators lag 1-2 years.
Scored Sep 29, 2026
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