SPARKIT is live

Today SPARKIT goes live: a scientific research agent in an API.

One call deploys an agent that retrieves and synthesizes the relevant literature, performs any analyses the question requires, and returns a Markdown report. On HLE-Gold — the gold-standard subset of Humanity's Last Exam — SPARKIT scores 53.0%, compared to 34.9% for direct GPT-5.5 and 28.9% for direct Claude Opus 4.7.

The shape of the API is intentionally tiny:

from sparkit_science import SparkitClient

client = SparkitClient(api_key="sk_sparkit_...")
report = client.research(
    "What is the role of BRCA1 in homologous recombination?"
)
print(report)

Get an API key at app.sparkit.science/signup. Pricing is on /pricing — start with Try-it for $10 and 5 queries.

We'll post deeper writeups, benchmark updates, and engineering notes here. Star the GitHub org for release notifications.