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GENZ TECH Data API

Free, public, read-only JSON and CSV for five maintained tech datasets — AI coding benchmarks, model API pricing, tech funding rounds, actively exploited CVEs and memecoin rankings.

No API key. No signup. No rate limit. Every endpoint is a static file on a CDN with Access-Control-Allow-Origin: *, so you can fetch() it straight from a browser. Licensed CC BY 4.0 — commercial use included, attribution required.

Docs: https://genztech.blog/api/ · Catalog: https://genztech.blog/api/v1/index.json


Quick start

# the catalog: every dataset, its fields, record count and last-updated date
curl -s https://genztech.blog/api/v1/index.json

# one dataset
curl -s https://genztech.blog/api/v1/leaderboard.json
// CORS is open — no key, no proxy, works from any origin
const res = await fetch("https://genztech.blog/api/v1/leaderboard.json");
const { models } = await res.json();
console.log(models[0].name, models[0].sweBenchVerified);

Start from the catalog rather than hardcoding endpoints: it lists every dataset with its field names, record count and updated date, so your integration keeps working when a dataset is added.

Endpoints

Base: https://genztech.blog/api/v1

Dataset Endpoint Records Updated
AI Coding Leaderboard /leaderboard.json · .csv 21 daily
Leaderboard History /leaderboard-history.json · .csv 11 snapshots daily
Tech Funding Tracker /funding.json · .csv 39 daily
CVE Watchlist /cves.json · .csv 15 daily
Memecoin Tracker /memecoins.json · .csv 5 chains daily

Plus the catalog at /index.json.

Dataset reference

leaderboard — AI Coding Leaderboard

Frontier AI models ranked for coding by SWE-bench Verified and Pro scores, with per-token pricing, context window and open-weights status. Records under models.

rank  name  maker  open  sweBenchVerified  sweBenchPro  terminalBench
inputPricePer1M  outputPricePer1M  context  verified  sameAs

Only models whose scores are confirmed against a primary source get a rank. Unconfirmed models are present with verified: false and null scores — they are never given an estimated number. Filter on verified if you only want confirmed rows.

leaderboard-history — how the ranking moved

Every historical snapshot of the leaderboard, reconstructed from the site's git history. Records under snapshots.

date  commit  updated  rankedCount  leader  models

Useful for charting how a model's score or rank changed over time. Note the CSV flattens to one row per model per snapshot (121 rows for 11 snapshots).

funding — Tech Funding Tracker

Major AI and tech funding rounds, each one verified and linked to the article documenting it. Records under rounds.

company  amountM  amount  round  sector  investors  valuation
date  dateDisplay  what  post

amountM is the round size in millions USD, for sorting. valuation is null unless it was actually disclosed.

cves — CVE Watchlist

High-impact vulnerabilities triaged by real-world exploitation status. Records under items.

id  product  type  cvss  status  kev  action  date  note  post

status is one of actively exploited, exploited, patched, disclosed. kev is a boolean for presence in CISA's Known Exploited Vulnerabilities catalog. action is the specific remediation step, not generic advice.

memecoins — Memecoin Tracker

Top memecoins per chain by market cap, snapshotted at build time from CoinGecko. Records under chains, each with a nested coins array.

key  label  coins[]

The CSV flattens to one row per coin per chain (50 rows for 5 chains).

Examples

Runnable, dependency-free where possible:

node examples/fetch.mjs
python examples/fetch.py

Gotchas

Three things that will bite you if nobody tells you, all verified against the live endpoints:

Python's default User-Agent gets a 403. Cloudflare's bot protection sits in front of the site and rejects Python-urllib/3.x — a common scraper signature. requests, curl, Go and browsers all set acceptable defaults and work unchanged. If you use urllib or pandas, send a descriptive User-Agent:

req = urllib.request.Request(url, headers={"User-Agent": "my-app/1.0"})

# pandas reads URLs through urllib, so it needs the same:
pd.read_csv(url, storage_options={"User-Agent": "my-app/1.0"})

Booleans are not spelled consistently across the CSVs. leaderboard.csv uses yes/no for open_weights and verified; cves.csv uses true/false for kev. Normalise rather than comparing against one literal. The JSON endpoints use real booleans throughout and do not have this problem.

sector in the funding data is free text, not a category. It is a descriptor written per round, so 39 rounds currently carry 39 distinct strings. Grouping by it will not give you a sector breakdown — rank by amountM instead.

Terms

  • Licence. CC BY 4.0. Use it anywhere, including commercially.
  • Attribution. Credit "GENZ TECH" and link to the dataset page you used. That link is the whole price.
  • No key, no limit. Nothing to sign up for. Please cache rather than polling — the data moves once a day at most, and Cache-Control tells you exactly how long a response stays fresh (max-age=3600, stale-while-revalidate=86400).
  • Stability. Paths under /api/v1/ do not change shape. A breaking change to a payload would ship as /api/v2/, leaving v1 in place.

How the data is maintained

These are curated datasets, not scrapes. Two rules govern them:

Nothing unverified gets a number. If a benchmark score, price or valuation is not confirmed against a primary source, it is published as null — never an estimate, never a guess. Rows carry a verified flag or a provenance note so you can tell vendor-reported figures from independent evaluations.

updated means the data changed. It is derived from each dataset's own revision history, not from when the file was last written, so a dataset that did not move today does not claim it did.

Every dataset is regenerated on each site build, at least daily. The record counts and field lists in the catalog are derived from the payloads themselves, so the documentation cannot drift from the data.

Embeds

If you want a live table on your page rather than raw records, each tracker ships a self-contained embeddable widget — an iframe, no script tag:

<iframe src="https://genztech.blog/ai-coding-leaderboard/embed/"
        width="100%" height="470" loading="lazy"
        title="AI Coding Leaderboard by GENZ TECH"
        style="border:1px solid #26282b;border-radius:10px;max-width:560px"></iframe>

The "cite & embed" block on each tracker page has a copy-paste snippet.

Corrections

Spot an error? Open an issue here, or use the contact page. Corrections are made at the source and propagate to the API on the next build — see our editorial standards.

Licence

Data: CC BY 4.0. Example code in this repository: MIT.

About

Free public JSON/CSV API for AI coding benchmarks, model pricing, tech funding rounds and exploited CVEs. No key, no rate limit, CC BY 4.0.

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