Alice
Alice (formerly ActiveFence) is an enterprise AI security, safety, and trust platform for the GenAI era. Its WonderSuite platform stress-tests, guards, and monitors AI models, applications, and agents against jailbreaks, prompt injection, unsafe outputs, and policy violations. The Alice API provides content analysis (text, image, video, and audio moderation), real-time GenAI message evaluation (WonderFence), and adversarial red-team assessments (WonderBuild), authenticated with an af-api-key header and delivering asynchronous results via callback webhooks. Alice safeguards more than 3 billion users across 120+ languages and is SOC 2 and ISO 27001 certified.
Real signal across most facets with visible, nameable gaps — the contract exists but is thin, or the portal is good while governance and commercial terms are absent.
API Evangelist profiles Alice the way a machine reads it — 12 machine-readable artifacts across 7 APIs, 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 — Alice scores 45.4/100 (developing), with a separate agent-readiness read of 75/100 (agent native). 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 Alice
Each block below is one kind of artifact we hold for Alice. 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.
APIs 7
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Alice api keys API
Provides APIs to manage API key(s), including adding new keys, listing existing keys, and deleting keys.
Alice collection API
Collection API Represents grouped entities. A collection is comprised of multiple items grouped together in a playlist, album, folder, group or channel on your platform. For exa...
Alice content API
Content APIs Represents WHAT content was created on your platform, such as a post, comment, review, message, article or data. For example, a web page containing a video, a custo...
Alice flags API
The Flags API enables you to send details about the flag made on an item on your platform to the Alice T&S platform.
Alice users API
Users API Represents WHO created content on your platform. These are the end users that have uploaded content to your platform, meaning the people who are the creators or publis...
Alice WonderBuild API
WonderBuild provides red teaming and security assessment tools for AI applications. APIs for running comprehensive security assessments on gen-AI applications.
Alice WonderFence API
WonderFence provides real-time guardrails for AI-generated content. APIs for evaluating and moderating AI-generated content and interactions to protect against harmful outputs a...
Scroll within the panel for all 7 ·
MCP Servers 1
Model Context Protocol servers expose these APIs directly to AI agents. We profile them because agent-native access is the fastest-growing way this provider's capabilities actually get used.
Model Context Protocol servers that expose these APIs to AI agents.
alice-mcp.yml
MCP SERVEREvent Specifications 1
Not every API is request/response. AsyncAPI describes the event-driven and streaming side — the webhooks and channels — so the asynchronous half of the interface is documented the same way the synchronous half is.
AsyncAPI definitions for this provider's event-driven and streaming APIs.
Alice Webhooks
ASYNCAPISecurity 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.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Alice — 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 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 3
Authentication, authorization, and security posture
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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