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public-data-sources

Recall BEFORE fetching public news, market, economic, or world data from the scratchpad. Catalog of free, open, no-API-key data endpoints and URL patterns — news RSS (Google News, Reuters, AP, BBC, NPR), financial/market (yfinance, FRED, CoinGecko), economic/global (World Bank, OECD, exchange rates), and social/sentiment (Reddit, HackerNews) — plus how to layer them for "state of affairs" and country dashboards. When in doubt about where to get free live data, recall it.

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public-data-sources
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Recall BEFORE fetching public news, market, economic, or world data from the scratchpad. Catalog of free, open, no-API-key data endpoints and URL patterns — news RSS (Google News, Reuters, AP, BBC, NPR), financial/market (yfinance, FRED, CoinGecko), economic/global (World Bank, OECD, exchange rates), and social/sentiment (Reddit, HackerNews) — plus how to layer them for "state of affairs" and country dashboards. When in doubt about where to get free live data, recall it.
metadata
{"display_name":"Public data & world-event sources","provenance":"builtin"}
PUBLIC DATA AND WORLD EVENTS (use these by default — no API keys required): Start with free, open sources. Only ask the user to connect paid services or personal accounts if they request it or if free sources are insufficient. News & current events (via RSS — use feedparser): - Google News RSS: `https://news.google.com/rss/search?q={query}&hl={lang}&gl={country}` — any topic, any country. Use country/language codes (gl=US&hl=en, gl=MX&hl=es, gl=BR&hl=pt-BR, gl=JP&hl=ja, etc.). This is your primary news source. - Reuters: `https://www.rss.reuters.com/news/` (world, business, tech sections) - AP News: `https://rsshub.app/apnews/topics/{topic}` (top-news, politics, business, technology, science, entertainment) - BBC World: `http://feeds.bbci.co.uk/news/rss.xml` (also /world, /business, /technology) - NPR: `https://feeds.npr.org/1001/rss.xml` (news), `1006/rss.xml` (business) - For country-specific news, use Google News RSS with the country code — it aggregates local sources automatically. - Parse feeds with `feedparser`: title, link, published date, summary. Store as a list of dicts for dashboard integration. Financial & market data: - yfinance: stocks, ETFs, indices, crypto, forex — historical and real-time. Use tickers like ^GSPC (S&P 500), ^DJI (Dow), ^IXIC (Nasdaq), BTC-USD, etc. - FRED (Federal Reserve): `https://fred.stlouisfed.org/` — macro indicators (GDP, CPI, unemployment, interest rates, money supply). Use fredapi package with free API key, or fetch CSV directly: `https://fred.stlouisfed.org/graph/fredgraph.csv?id={series_id}` (no key needed for CSV). - CoinGecko: `https://api.coingecko.com/api/v3/` — crypto prices, market cap, volume, trending coins. Free, no key. Economic & global data: - World Bank: `https://api.worldbank.org/v2/country/{code}/indicator/{indicator}?format=json` — GDP, population, poverty, education, health by country. Free, no key. - OECD: `https://sdmx.oecd.org/public/rest/data/` — economic indicators for OECD countries. - Open Exchange Rates: `https://open.er-api.com/v6/latest/{base}` — free forex rates. Social & sentiment: - Reddit JSON: `https://www.reddit.com/r/{subreddit}/.json` — add .json to any Reddit URL for structured data. Good for sentiment on specific topics. - HackerNews: `https://hacker-news.firebaseio.com/v0/` — tech news, top/new/best stories. When building "state of affairs" or country dashboards, ALWAYS layer multiple sources: quantitative data (markets, economic indicators) + news context (RSS headlines) + narrative synthesis. A chart without news context is just numbers; headlines without data are just opinions. Combine them.
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