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.

🌐 Visit website 📡 Source on GitHub

23.1/100 emerging ▬ flat Agent 3/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Artificial Intelligence Data Science Data Governance Analytics AI Agents Developer Tools Jupyter LLM Data Reliability

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 23.1/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 10.0 / 20

Access Clarity 7.4 / 20

Operational Transparency 0.0 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 10

Agent readiness — 3/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/sphinx: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Sphinx Authentication

apiKey/http-bearer-jwt · 2 schemes

SECURITY

Sphinx Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Sphinx Trust Center

SOC 2 Type 2

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

Conventions

Conventions

Build 3

SDKs, sample code, and the tooling you integrate with

Packages

Packages

SDKs

SDKs

CLI

CLI

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

Compliance

Authentication

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: sphinx
name: Sphinx
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/sphinx/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- lightspeed-venture-partners
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://framerusercontent.com/assets/kdpSxw0VyNireeOL1RaqcMcD5A.jpg
tags:
- Company
- Artificial Intelligence
- Data Science
- Data Governance
- Analytics
- AI Agents
- Developer Tools
- Jupyter
- LLM
- Data Reliability
apis: []
common:
- type: Website
  url: https://sphinx.ai
- type: DeveloperPortal
  url: https://docs.sphinx.ai
- type: Documentation
  url: https://docs.sphinx.ai
- type: GettingStarted
  url: https://docs.sphinx.ai/quickstart
- type: Blog
  url: https://www.sphinx.ai/blog/
- type: Support
  url: mailto:support@sphinx.ai
- type: SignUp
  url: https://dashboard.prod.sphinx.ai
- type: Login
  url: https://dashboard.prod.sphinx.ai
- type: TermsOfService
  url: https://sphinx.ai/terms-of-service
- type: PrivacyPolicy
  url: https://sphinx.ai/privacy
- type: TrustCenter
  url: https://trust.sphinx.ai
- type: Compliance
  url: security/sphinx-trust-center.yml
- type: LLMsTxt
  url: llms/sphinx-llms.txt
- type: Packages
  url: packages/sphinx-packages.yml
- type: SDKs
  url: packages/sphinx-packages.yml
- type: CLI
  url: cli/sphinx-cli.yml
- type: Authentication
  url: authentication/sphinx-authentication.yml
- type: Conventions
  url: conventions/sphinx-conventions.yml
- type: DomainSecurity
  url: security/sphinx-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 8
  pass: local-v1

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