CHEQ AI Technologies

CHEQ AI Technologies (CHEQ) is a go-to-market (GTM) security and digital intelligence company headquartered in Tel Aviv, Israel, with offices in New York, London, and Tokyo. CHEQ protects the customer journey by distinguishing legitimate humans from bots, fake users, and malicious AI agents across paid marketing, web forms, analytics, tag management, and consent. Its product suite includes CHEQ Acquisition (paid-media click-fraud and invalid-traffic protection), CHEQ Form Guard (bot form-submission blocking), CHEQ Analytics (human vs. non-human traffic analysis), CHEQ Manage (tag and third-party data governance), CHEQ Enforce (privacy/consent compliance), and CHEQ Agent Intent (real-time visitor intent and identity). CHEQ says it serves 15,000+ brands, processes 6 trillion signals daily across 1 million domains, and runs 2,000+ real-time security tests per visitor. Its developer surface is delivered as server-side and client-side SDKs (Server-Side Tagging, Real-Time Interception middlewares, and Enforce consent SDKs across JavaScript/TypeScript, Kotlin, Swift, and Python) published under the npm @cheq.ai scope and the cheq-ai GitHub organization. CHEQ has acquired Deduce (identity intelligence) and ClickCease (click-fraud protection).

CHEQ AI Technologies is profiled on the APIs.io network. Tagged areas include Company, Go-To-Market Security, Bot Mitigation, Click Fraud Prevention, and Invalid Traffic.

CHEQ AI Technologies’ developer surface includes documentation, support, engineering blog, and 12 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.2/100 emerging ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

0 APIs

CompanyGo-To-Market SecurityBot MitigationClick Fraud PreventionInvalid TrafficMarketing SecurityAd Verification Consent Management Identity Intelligence Cybersecurity Privacy ComplianceServer-Side Tagging

Kin Score

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

Composite quality — 18.2/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Access Clarity 7.4 / 20

Operational Transparency 0.3 / 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 2

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

Cheq Ai Technologies Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Cheq Ai Technologies Trust Center

SOC 2, ISO 27001, GDPR, CSA STAR

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 3

Authentication, authorization, and security posture

TrustCenter

TrustCenter

Compliance

Compliance

DomainSecurity

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: cheq-ai-technologies
name: CHEQ AI Technologies
description: CHEQ AI Technologies (CHEQ) is a go-to-market (GTM) security and digital intelligence company headquartered in
  Tel Aviv, Israel, with offices in New York, London, and Tokyo. CHEQ protects the customer journey by distinguishing legitimate
  humans from bots, fake users, and malicious AI agents across paid marketing, web forms, analytics, tag management, and consent.
  Its product suite includes CHEQ Acquisition (paid-media click-fraud and invalid-traffic protection), CHEQ Form Guard (bot
  form-submission blocking), CHEQ Analytics (human vs. non-human traffic analysis), CHEQ Manage (tag and third-party data
  governance), CHEQ Enforce (privacy/consent compliance), and CHEQ Agent Intent (real-time visitor intent and identity). CHEQ
  says it serves 15,000+ brands, processes 6 trillion signals daily across 1 million domains, and runs 2,000+ real-time security
  tests per visitor. Its developer surface is delivered as server-side and client-side SDKs (Server-Side Tagging, Real-Time
  Interception middlewares, and Enforce consent SDKs across JavaScript/TypeScript, Kotlin, Swift, and Python) published under
  the npm @cheq.ai scope and the cheq-ai GitHub organization. CHEQ has acquired Deduce (identity intelligence) and ClickCease
  (click-fraud protection).
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: []
  generated: '2026-07-22'
  method: derived
image: https://cheq.ai/wp-content/uploads/2023/10/cropped-Favicon-CHEQ-192x192.png
url: https://raw.githubusercontent.com/api-evangelist/cheq-ai-technologies/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- battery-ventures
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Go-To-Market Security
- Bot Mitigation
- Click Fraud Prevention
- Invalid Traffic
- Marketing Security
- Ad Verification
- Consent Management
- Identity Intelligence
- Cybersecurity
- Privacy Compliance
- Server-Side Tagging
apis: []
common:
- type: TrustCenter
  url: security/cheq-ai-technologies-trust-center.yml
- type: Compliance
  url: https://cheq.ai/trust/
- type: DomainSecurity
  url: security/cheq-ai-technologies-domain-security.yml
- type: Website
  url: https://cheq.ai
- type: DeveloperPortal
  url: https://developer.cheq.ai/
- type: Documentation
  url: https://docs.cheq.ai/
- type: Support
  url: https://support.cheq.ai/
- type: Blog
  url: https://cheq.ai/blog/
- type: Integrations
  url: https://cheq.ai/integrations-page/
- type: GitHubOrganization
  url: https://github.com/cheq-ai
- type: TermsOfService
  url: https://cheq.ai/cheq-terms-of-service/
- type: PrivacyPolicy
  url: https://cheq.ai/website-privacy-policy/
- type: Packages
  url: packages/cheq-ai-technologies-packages.yml
- type: SDKs
  url: packages/cheq-ai-technologies-packages.yml
- type: LLMsTxt
  url: llms/cheq-ai-technologies-llms.txt
- type: WellKnown
  url: well-known/cheq-ai-technologies-well-known.yml
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

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