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 10 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.1/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

Company Zero-Knowledge Proofs Machine-LearningVerifiable AIZKMLCryptographyONNXBlockchain Open-Source SDK CLI

Kin Score

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

Composite quality — 18.1/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 8.6 / 20

Access Clarity 0.0 / 20

Operational Transparency 3.8 / 13

Contract Governance 0.0 / 12

Discoverability 5.7 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

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.

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Security Posture 1

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

Ezkl Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Get Started 1

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GettingStarted

GettingStarted

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

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LLMsTxt

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Build 5

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GitHubOrganization

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CLI

Access & Security 2

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SecurityPolicy

SecurityPolicy

DomainSecurity

DomainSecurity

Operate 3

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IssueTracker

IssueTracker

Releases

Releases

Support

Support

Company 2

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Website

Website

Blog

Blog

Source (apis.yml)

aid: ezkl
deliveryModel:
  model: unknown
  open_source: unknown
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - repository-unlicensed
  generated: '2026-08-28'
  method: derived
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: '0.23'
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
tags_raw:
- 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: IssueTracker
  url: https://github.com/zkonduit/ezkl/issues
- type: Releases
  url: https://github.com/zkonduit/ezkl/releases
- type: SecurityPolicy
  url: https://github.com/zkonduit/ezkl/blob/main/.github/SECURITY.md
- 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

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