Unitary AI
Unitary is a London-based, Creandum-backed AI company that provides multimodal content classification and moderation as an API, analyzing video, image, audio, and text in context to detect harmful or policy-violating content at a scale of tens of millions of videos per day. The Unitary API at api.unitary.ai offers policy classification, granular Items and Characteristics signals, Detoxify text-toxicity scoring, and a Virtual Moderator endpoint that blends AI agents with human review, with results delivered by signed webhooks or polling. The company also maintains the popular open-source Detoxify Python library, and has expanded into AI Virtual Agents that automate manual workflows across insurance, financial services, healthcare, and marketplaces.
Limited machine-readable signal and partial portal coverage — documentation a human can read, but little a machine or agent can consume without scraping.
API Evangelist profiles Unitary AI the way a machine reads it — 10 machine-readable artifacts across 5 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 — Unitary AI scores 43.2/100 (thin), with a separate agent-readiness read of 61/100 (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 Unitary AI
Each block below is one kind of artifact we hold for Unitary AI. 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 5
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.
Unitary AI API Authentication API
The API Authentication API from Unitary AI — 1 operation(s) for api authentication.
Unitary AI Detoxify API
The Detoxify API from Unitary AI — 2 operation(s) for detoxify.
Unitary AI Items & Characteristics API
The Items & Characteristics API from Unitary AI — 4 operation(s) for items & characteristics.
Unitary AI moderation API
The moderation API from Unitary AI — 1 operation(s) for moderation.
Unitary AI Policy Classification API
The Policy Classification API from Unitary AI — 6 operation(s) for policy classification.
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.
unitary-ai-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.
Unitary Ai Webhooks
ASYNCAPISecurity Posture 3
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 Unitary AI — 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 4
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 6
Pagination, idempotency, versioning, errors, and events
Build 2
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 1
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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