blackbrainpy/genztech-api

GENZ TECH Data API is a free, public data service that provides five curated technology datasets in JSON and CSV format. The datasets cover AI coding benchmarks, model API pricing, tech funding rounds, actively exploited security vulnerabilities, and memecoin rankings. You can access everything without an API key, without signing up, and without rate limits. The data lives on a content delivery network as static files, so you can request it directly from a web browser using JavaScript's fetch function. The available datasets are practical and focused. The AI Coding Leaderboard ranks frontier AI models by their coding performance on benchmarks like SWE-bench Verified, including per-token pricing and whether the model has open weights. The Leaderboard History tracks how those rankings have shifted over time. The Tech Funding Tracker logs major AI and tech funding rounds with verified amounts and sources. The CVE Watchlist catalogs high-impact security vulnerabilities triaged by their real-world exploitation status. The Memecoin Tracker snapshots top memecoins by market cap across five blockchains. The repository includes example code in JavaScript, Python, and plain HTML to help you get started quickly. A notable gotcha: Python's default user agent gets blocked by Cloudflare's bot protection, so you need to set a custom one when using Python's built-in libraries. The CSV files also spell booleans inconsistently across datasets, so the JSON endpoints are recommended if that matters to you. The funding data's "sector" field is free-text descriptors rather than standardized categories. All data is curated by hand, not scraped. The maintainer's rule is that nothing unverified gets a number. If a benchmark score, price, or valuation cannot be confirmed against a primary source, it is published as null rather than estimated. Each dataset is regenerated at least daily during site builds, and a catalog endpoint lists every dataset with its field names and record counts so your integration can adapt when datasets are added. The data is licensed under CC BY 4.0, which permits commercial use with attribution to GENZ TECH and a link to the dataset page used. The example code in the repository is MIT licensed. Each tracker page also offers an embeddable iframe widget if you want to display a live table on your own site rather than working with raw data.