EZKL

EZKL (by Zkonduit Inc.) is a developer-friendly engine for verifiable AI and analytics that generates zero-knowledge proofs (ZK-SNARKs, Halo2) for machine learning model inference. Given a model in ONNX format and sample input, EZKL automatically compiles a proving circuit and produces a cryptographic proof that a computation ran correctly without revealing the underlying private data or model weights. Proofs are verifiable on-chain (EVM-compatible), in the browser, or on edge devices. EZKL ships as a command-line tool, Python and JavaScript (WebAssembly) bindings, and a Rust library, and supports tree-based models, transformers, CNNs, and RNNs. Lilith is its high-performance compute cluster for cloud-scale proof generation. The codebase was audited by Trail of Bits and is developed in the open at github.com/zkonduit/ezkl.

EZKL is profiled on the APIs.io network. Tagged areas include Company, Zero-Knowledge Proofs, Machine Learning, Verifiable AI, and ZKML.

EZKL’s developer surface includes documentation, getting-started guide, engineering blog, support, CLI, and 7 more developer resources.

🌐 Visit website 📡 Source on GitHub

15.3/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyZero-Knowledge ProofsMachine LearningVerifiable AIZKMLCryptographyONNXBlockchainOpen SourceSDKCLI

Kin Score

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

Composite quality — 15.3/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 7.8 / 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/ezkl: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 5

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

SourceCode

Packages

SDKs

CLI

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: ezkl
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/ezkl.png
name: EZKL
description: EZKL (by Zkonduit Inc.) is a developer-friendly engine for verifiable AI and analytics that generates zero-knowledge
  proofs (ZK-SNARKs, Halo2) for machine learning model inference. Given a model in ONNX format and sample input, EZKL automatically
  compiles a proving circuit and produces a cryptographic proof that a computation ran correctly without revealing the underlying
  private data or model weights. Proofs are verifiable on-chain (EVM-compatible), in the browser, or on edge devices. EZKL
  ships as a command-line tool, Python and JavaScript (WebAssembly) bindings, and a Rust library, and supports tree-based
  models, transformers, CNNs, and RNNs. Lilith is its high-performance compute cluster for cloud-scale proof generation. The
  codebase was audited by Trail of Bits and is developed in the open at github.com/zkonduit/ezkl.
url: https://raw.githubusercontent.com/api-evangelist/ezkl/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
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Zero-Knowledge Proofs
- Machine Learning
- Verifiable AI
- ZKML
- Cryptography
- ONNX
- Blockchain
- Open Source
- SDK
- CLI
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://ezkl.xyz/
- type: Documentation
  url: https://docs.ezkl.xyz/
- type: GettingStarted
  url: https://docs.ezkl.xyz/
- type: Blog
  url: https://blog.ezkl.xyz/
- type: GitHubOrganization
  url: https://github.com/zkonduit
- type: SourceCode
  url: https://github.com/zkonduit/ezkl
- type: Support
  url: https://github.com/zkonduit/ezkl/discussions
- type: Packages
  url: packages/ezkl-packages.yml
- type: SDKs
  url: packages/ezkl-packages.yml
- type: CLI
  url: cli/ezkl-cli.yml
- type: LLMsTxt
  url: llms/ezkl-llms.txt
- type: DomainSecurity
  url: security/ezkl-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence