LeapYear website screenshot

LeapYear

LeapYear Technologies built an enterprise platform for differentially private analytics and machine learning, letting organizations run statistics, SQL-style queries, feature engineering, and supervised and unsupervised model training against their most sensitive data while a mathematically provable privacy guarantee bounds what any single record can leak. The product shipped as a self-hosted server, LeapYear Core, driven by a first-party Python client library that exposes databases, tables, views, users, groups, permissions, privacy profiles, and per-database privacy budgets as programmable resources. Snowflake announced its intent to acquire LeapYear in February 2023 and closed the acquisition for $62.0 million in cash, folding the differential privacy technology and team into the Snowflake Data Cloud clean-room capabilities. The standalone company surface is now retired: leapyear.io no longer answers on HTTPS. The surviving public developer surface is the hosted LeapYear Python client reference for version 4.1.1.

LeapYear publishes 1 API on the APIs.io network. Tagged areas include Company, Data Privacy, Differential Privacy, Machine Learning, and Analytics.

LeapYear’s developer surface includes documentation, API reference, getting-started guide, authentication, and 9 more developer resources.

16.7/100 emerging ▬ flat Agent 17/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
1 APIs
CompanyData PrivacyDifferential PrivacyMachine LearningAnalyticsData Clean RoomsPrivacy Enhancing TechnologiesPythonAcquired

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 16.7/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 8.7 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 8.0 / 10
Agent readiness — 17/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/leapyear: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

LeapYear Python Client

The first-party Python client library for LeapYear Core. The Client class opens an authenticated connection to a self-hosted LeapYear server and exposes administrative resources...

Security Posture 2

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

Leapyear Authentication

password/public-key · 3 schemes

SECURITY

Leapyear Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Source (apis.yml)

apis.yml Raw ↑
aid: leapyear
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/leapyear.png
name: LeapYear
description: 'LeapYear Technologies built an enterprise platform for differentially private analytics and machine learning,
  letting organizations run statistics, SQL-style queries, feature engineering, and supervised and unsupervised model training
  against their most sensitive data while a mathematically provable privacy guarantee bounds what any single record can leak.
  The product shipped as a self-hosted server, LeapYear Core, driven by a first-party Python client library that exposes databases,
  tables, views, users, groups, permissions, privacy profiles, and per-database privacy budgets as programmable resources.
  Snowflake announced its intent to acquire LeapYear in February 2023 and closed the acquisition for $62.0 million in cash,
  folding the differential privacy technology and team into the Snowflake Data Cloud clean-room capabilities. The standalone
  company surface is now retired: leapyear.io no longer answers on HTTPS. The surviving public developer surface is the hosted
  LeapYear Python client reference for version 4.1.1.'
url: https://raw.githubusercontent.com/api-evangelist/leapyear/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- bloomberg-beta
x-tier: stub
x-tier-reason: portfolio-lead
x-status: acquired
x-acquired-by: snowflake
x-acquired-date: '2023-02-10'
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Data Privacy
- Differential Privacy
- Machine Learning
- Analytics
- Data Clean Rooms
- Privacy Enhancing Technologies
- Python
- Acquired
apis:
- aid: leapyear-python-client
  name: LeapYear Python Client
  description: 'The first-party Python client library for LeapYear Core. The Client class opens an authenticated connection
    to a self-hosted LeapYear server and exposes administrative resources (databases, tables, column definitions, views, users,
    groups, permissions, privacy profiles) alongside the DataSet query builder, the analytics and model modules for differentially
    private statistics and machine learning, feature transformers, and an async jobs interface. There is no public multi-tenant
    endpoint: every deployment runs its own LeapYear Core server, so the client is pointed at a customer-operated host via
    the url argument or the LY_API_URL environment variable.'
  humanURL: https://leapyear-python-docs.readthedocs-hosted.com/en/4.1.1/
  tags:
  - Differential Privacy
  - Machine Learning
  - Analytics
  - Python
  properties:
  - type: Documentation
    url: https://leapyear-python-docs.readthedocs-hosted.com/en/4.1.1/
  - type: APIReference
    url: https://leapyear-python-docs.readthedocs-hosted.com/en/4.1.1/api.html
  - type: GettingStarted
    url: https://leapyear-python-docs.readthedocs-hosted.com/en/4.1.1/tutorial.html
common:
- type: Documentation
  url: https://leapyear-python-docs.readthedocs-hosted.com/en/4.1.1/
- type: APIReference
  url: https://leapyear-python-docs.readthedocs-hosted.com/en/4.1.1/api.html
- type: GettingStarted
  url: https://leapyear-python-docs.readthedocs-hosted.com/en/4.1.1/tutorial.html
- type: Authentication
  url: authentication/leapyear-authentication.yml
- type: Packages
  url: packages/leapyear-packages.yml
- type: SDKs
  url: packages/leapyear-packages.yml
- type: ErrorCatalog
  url: errors/leapyear-error-codes.yml
- type: Conventions
  url: conventions/leapyear-conventions.yml
- type: Lifecycle
  url: lifecycle/leapyear-lifecycle.yml
- type: DataModel
  url: data-model/leapyear-data-model.yml
- type: Conformance
  url: conformance/leapyear-conformance.yml
- type: DomainSecurity
  url: security/leapyear-domain-security.yml
- type: LLMsTxt
  url: llms/leapyear-llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence