Integral Ad Science
Integral Ad Science (NASDAQ: IAS) is a New York-based global ad verification and digital media measurement company. IAS provides technology and data that measures the quality, viewability, ad fraud, brand safety and suitability, contextual targeting, and attention performance of digital advertising across CTV and video, the open web, social platforms, mobile and in-app, and digital audio. Its products serve advertisers and agencies, publishers, and ad-tech platforms with proprietary capabilities including Quality Impressions, Total Visibility, Total Media Quality, Context Control, and the IAS Agent platform for generative-AI-era brand safety. IAS does not publish a general-purpose public developer API, OpenAPI specification, or self-serve SDK portal; customer access to IAS data and measurement is delivered through enterprise integrations with DSPs, SSPs, ad servers, social platforms, and walled gardens, plus the IAS Signal reporting platform, header-bidding modules (Prebid IAS RTD provider and bidder adapter), and partner connectors such as the Salesforce Marketing Cloud Intelligence (Datorama) IAS connector. The company's GitHub organization (github.com/integralads) is primarily internal tooling, forks, and ad-tech ecosystem contributions rather than a documented developer SDK surface.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Integral Ad Science the way a machine reads it — 1 machine-readable artifact, 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 — Integral Ad Science scores 10.3/100 (minimal), with a separate agent-readiness read of 0/100 (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.
How we profile Integral Ad Science
Each block below is one kind of artifact we hold for Integral Ad Science. 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 1
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 Integral Ad Science — 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.
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 2
Status, limits, changes, and where to get help
Company 8
The organization behind the API
Scroll within the panel for all 8 ·
Other 6
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/integral-ad-science · machine-readable index on apis.io