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What is genztech-api?

blackbrainpy/genztech-api — explained in plain English

Analysis updated 2026-07-26

1Audience · developerComplexity · 1/5LicenseSetup · easy

In one sentence

A free public API offering five curated tech datasets as static JSON and CSV files without requiring an API key. It covers AI leaderboards, tech funding, security vulnerabilities, and memecoins, updated daily.

Mindmap

mindmap
  root((repo))
    What it does
      Provides tech datasets
      No API key needed
      Daily data updates
    Datasets
      AI Coding Leaderboard
      Tech Funding Tracker
      CVE Security Watchlist
      Memecoin Tracker
    Tech stack
      JavaScript
      Python
      HTML
    Use cases
      Build data dashboards
      Track AI model prices
      Monitor security flaws
    Audience
      Developers
      Data analysts
      Tech researchers

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Fetch live AI model coding benchmarks and API pricing for a comparison dashboard.

USE CASE 2

Embed a live table of tech funding rounds or security vulnerabilities on your website.

USE CASE 3

Pull top memecoin rankings by market cap across multiple blockchains into a script.

USE CASE 4

Track historical shifts in AI coding leaderboard rankings over time.

What is it built with?

JavaScriptPythonHTMLJSONCSV

How does it compare?

blackbrainpy/genztech-api0xkinno/neuralvault0xlocker/d17-contracts
Stars111
LanguageTypeScriptSolidity
Setup difficultyeasyhardhard
Complexity1/54/55/5
Audiencedeveloperdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 5min

If using Python, you must set a custom User-Agent header to avoid being blocked by Cloudflare bot protection.

The data is free for any purpose, including commercial use, as long as you credit GENZ TECH and link back. The example code is MIT licensed.

So what is it?

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.

Copy-paste prompts

Prompt 1
Write a Python script that fetches the AI Coding Leaderboard JSON from the GENZ TECH Data API using a custom User-Agent header, and prints the model name, SWE-bench score, and per-token pricing.
Prompt 2
Create a simple HTML page that uses JavaScript fetch to load the Tech Funding Tracker JSON from the GENZ TECH Data API and displays the results in an HTML table.
Prompt 3
Using the GENZ TECH Data API catalog endpoint, write a Python function that lists all available datasets along with their record counts and field names.
Prompt 4
Build a web widget that fetches the CVE Watchlist JSON from the GENZ TECH Data API and displays the most recently updated high-impact security vulnerabilities.

Frequently asked questions

What is genztech-api?

A free public API offering five curated tech datasets as static JSON and CSV files without requiring an API key. It covers AI leaderboards, tech funding, security vulnerabilities, and memecoins, updated daily.

What license does genztech-api use?

The data is free for any purpose, including commercial use, as long as you credit GENZ TECH and link back. The example code is MIT licensed.

How hard is genztech-api to set up?

Setup difficulty is rated easy, with roughly 5min to a first successful run.

Who is genztech-api for?

Mainly developer.

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