Sphinx
Sphinx is an AI reliability and governance system for data and analytics that works to make AI-generated answers over enterprise data correct and auditable. Its tagline is "AI gets data wrong. Sphinx makes it right." The product pairs a data-science AI agent that lives in the code editor (a VS Code / Cursor extension, a command-line interface, and a Jupyter-native workflow) with a centralized, evolving knowledge base of business definitions and metrics, governance and role-based access controls, self-correcting accuracy that catches drift and hallucinations, and end-to-end auditability with full output lineage. Developers reach the platform through the Sphinx CLI (sphinx-ai-cli), the in-notebook Sphinx Library Python package (sphinxai) for LLM chat, embeddings, vision, and secure access to connections and secrets, and MCP for connecting external tools. Sphinx is SOC 2 Type 2 compliant with a zero data retention posture. The company raised a $9.5M seed round led by Lightspeed Venture Partners.
Sphinx is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Data Science, Data Governance, and Analytics.
Sphinx’s developer surface includes documentation, getting-started guide, engineering blog, support, signup flow, CLI, authentication, and 12 more developer resources.
Kin Score
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Get Started 4
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 1
Pagination, idempotency, versioning, errors, and events
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API