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).
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles CHEQ AI Technologies the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — CHEQ AI Technologies scores 20.9/100 (emerging), with a separate agent-readiness read of 4/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile CHEQ AI Technologies
Each block below is one kind of artifact we hold for CHEQ AI Technologies. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for CHEQ AI Technologies — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 1
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 3
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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