Zypl

Zypl (zypl.ai) is an AI company building synthetic-data and machine-learning technology for financial services and government. Its core is proprietary zGAN generative synthetic-data technology, delivered through Lucid, a no-code platform for developing and deploying robust scoring models. Products include zScore for credit decisioning, plus fraud detection, collection scoring, and IFRS-9/GAAP-compliant provisioning for credit-loss estimation. Zypl serves banks, financial institutions, and public-sector entities, and operates an R&D lab (zehnlab.ai). It is backed by Prosus Ventures. Zypl publishes no public developer/API surface at this time; this profile carries verified identity and a live domain-security probe.

Zypl is profiled on the APIs.io network. Tagged areas include Company, Ai, Fintech, Machine Learning, and Synthetic Data.

Zypl’s developer surface includes support and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub

8.3/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyAiFintechMachine LearningSynthetic DataCredit ScoringFinancial ServicesRisk

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 8.3/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.9 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 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

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/zypl: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: zypl
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/zypl.png
name: Zypl
description: Zypl (zypl.ai) is an AI company building synthetic-data and machine-learning technology for financial services
  and government. Its core is proprietary zGAN generative synthetic-data technology, delivered through Lucid, a no-code platform
  for developing and deploying robust scoring models. Products include zScore for credit decisioning, plus fraud detection,
  collection scoring, and IFRS-9/GAAP-compliant provisioning for credit-loss estimation. Zypl serves banks, financial institutions,
  and public-sector entities, and operates an R&D lab (zehnlab.ai). It is backed by Prosus Ventures. Zypl publishes no public
  developer/API surface at this time; this profile carries verified identity and a live domain-security probe.
url: https://raw.githubusercontent.com/api-evangelist/zypl/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- prosus-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Ai
- Fintech
- Machine Learning
- Synthetic Data
- Credit Scoring
- Financial Services
- Risk
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/zypl-domain-security.yml
- type: Website
  url: https://zypl.ai
- type: GitHubOrganization
  url: https://github.com/zypl-ai
- type: Support
  url: https://zypl.ai/contact-us
x-enrichment:
  date: '2026-07-21'
  status: minimal
  artifacts_added: 1
  pass: local-v1