{"id":"quandl-api","name":"NASDAQ Data Link (formerly Quandl)","homepage":"https://data.nasdaq.com","repo_url":"https://github.com/Nasdaq/data-link-python","category":"financial-data","subcategories":["market-data","economic-data","alternative-data","datasets"],"tags":["quandl","nasdaq","data-link","economic-data","financial","datasets","rest-api","sdk"],"what_it_does":"Financial and economic dataset API (rebranded from Quandl to NASDAQ Data Link) providing access to hundreds of curated datasets including commodities, macro indicators, and alternative financial data.","use_cases":["Fetching historical economic time series (GDP, inflation, unemployment) for macro analysis agents","Accessing commodity price histories for energy, metals, and agriculture datasets","Premium alternative data (sentiment, corporate events, supply chain signals) for quant strategies","Backtesting historical market data across multiple asset classes","Economic indicator monitoring for policy or business intelligence agents"],"not_for":["Real-time stock price feeds (latency is not suitable for live trading)","Individual retail stock fundamentals at scale (use Finnhub or Alpha Vantage)","Options or derivatives chains","Free access at scale — many valuable datasets require premium subscriptions"],"best_when":"You need curated, institutional-quality economic and alternative datasets for research, backtesting, or macro analysis — particularly the free Quandl open datasets or FRED-equivalent data.","avoid_when":"You need real-time stock prices or free coverage of individual company fundamentals at scale.","alternatives":["alphavantage-api","finnhub-api"],"af_score":71.2,"security_score":null,"reliability_score":null,"package_type":"mcp_server","discovery_source":["github"],"priority":"low","status":"evaluated","version_evaluated":"current","last_evaluated":"2026-03-01T09:50:06.110026+00:00","performance":{"latency_p50_ms":300,"latency_p99_ms":1200,"uptime_sla_percent":99.5,"rate_limits":"50 requests/day on free tier; premium accounts: 2,000/10 minutes","data_source":"llm_estimated","measured_on":null}}