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 📡 Profile data on GitHub

24.3/100 emerging ▬ flat Agent 27/100 agent aware Front door AI 6/6 dominant saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

0 APIs 1 MCP Servers

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 2026-11-06 · rubric v0.27.0

Composite quality — 24.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 8.5 / 17

Access Clarity 6.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 5.0 / 9

Regulatory Posture 3.4 / 15

Agent readiness — 27/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

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.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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<a href="https://apis.io/providers/sphinx/"><img src="https://apis.io/badge/sphinx/card.svg" alt="Sphinx on APIs.io — Kin Score by API Evangelist"></a>

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)

8 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points
Access Clarity scores 36.8 — up to +12.6 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/sphinx/apis.yml: open an issue on github.com/api-evangelist/sphinx to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
IDE Extension Marketplaces (JetBrains, VS Code, Open VSX, Docker Verified Publishers, PyPI orgs)	builds-on	17.2 (thin)	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (verified)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Sphinx MCP Server

Remote MCP server at api.prod.sphinx.ai over HTTP.

MCP SERVER

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: '2026-11-06'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
image: https://framerusercontent.com/assets/kdpSxw0VyNireeOL1RaqcMcD5A.jpg
x-docs-platform: mintlify
x-docs-platform-confidence: medium
x-docs-platform-checked: 2026-10-04
x-docs-hosting: vercel
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

Sphinx API — frequently asked questions

How do I authenticate with the Sphinx API?

Sphinx documents its authentication (apiKey/http-bearer-jwt · 2 schemes). The details are profiled on APIs.io as Sphinx Authentication.

Does Sphinx have an MCP server?

Yes. APIs.io lists 1 MCP server for Sphinx: Remote MCP server at api.prod.sphinx.ai over HTTP.

Is the Sphinx API ready for AI agents?

Sphinx has a Kin Score of 24.3 out of 100 (emerging) and an Agent Readiness score of 27.3 (agent-aware), scored by API Evangelist on 2026-11-06.

Work with this as data

Every provider here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for providers

9 MCP tools reach this

find_providersBrowse and filter every provider in the catalog.
get_provider_artifactsEvery artifact this provider publishes, grouped by type.
get_provider_operationsEvery operation across all of their OpenAPIs — one call instead of parsing every spec.
get_provider_toolsEvery MCP tool they ship, with the operation each wraps.
get_provider_evidenceHow each part of their score was established. Free — the basis for a claim should not sit behind it.
get_provider_ratingPRO — composite, band, trend and facet scores.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

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