Confluence Labs
Confluence Labs is a San Francisco AI research company (Y Combinator Winter 2026, backed by Paul Graham) focused on learning efficiency — building machine learning systems that learn from limited data and few experiments. Founded by Brent Burdick and Niranjan Baskaran, the lab works on hypothesis generation (using AI to design maximally informative experiments) and data-efficient modeling (combining large language models with discrete program search) to accelerate breakthroughs in data-sparse domains such as drug design, materials engineering, hardware, and physics discovery. The team reported state-of-the-art performance on the ARC-AGI-2 reasoning benchmark using LLM-driven program synthesis and open-sourced their solver on GitHub. Confluence Labs currently publishes no public API, developer portal, SDK, or OpenAPI surface; this profile captures verified company identity for the API Evangelist network.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
Confluence Labs is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Confluence Labs scores 7.9/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
Resources
Every other property we hold for Confluence Labs — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Build 1
SDKs, sample code, and the tooling you integrate with
Company 2
The organization behind the API
Confluence Labs is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.
← All providers · Data indexed from github.com/api-evangelist/confluence-labs · machine-readable index on apis.io