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.

Unitary AI publishes 5 API contracts indexed on the APIs.io network, including API Authentication API, Detoxify API, Items & Characteristics API, and 2 more. Tagged areas include Company, Software-as-a-Service, Content Moderation, Trust and Safety, and Artificial Intelligence.

The Unitary AI catalog on APIs.io includes 1 event-driven AsyncAPI specification and 1 Spectral governance ruleset.

Unitary AI’s developer surface includes documentation, getting-started guide, API reference, authentication, engineering blog, support, and 17 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

34.9/100 thin ▬ flat Agent 26/100 agent aware Front door AI 4/6 moderate Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 3 Agent Skills

Company Software-as-a-Service Content Moderation Trust and Safety Artificial Intelligence Machine Learning Computer Vision Video Virtual Agents

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 34.9/100 · thin

Contract Quality 9.6 / 19

Developer Ergonomics 3.1 / 15

Access Clarity 2.8 / 15

Operational Transparency 1.0 / 10

Contract Governance 1.6 / 9

Discoverability 5.5 / 8

Regulatory Posture 3.5 / 15

Create-or-Update Ergonomics 2.8 / 10

Agent readiness — 26/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 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

Pagination 5 / 5

Distinct Operations 0 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

9 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Access Clarity scores 18.4 — up to +16.3 composite points
Developer Ergonomics scores 20.8 — up to +15.8 composite points
Contract Quality scores 51.2 — up to +12.2 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/unitary-ai/apis.yml: open an issue on github.com/api-evangelist/unitary-ai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Markets this provider is in provisional

The Kin Score Market layer reads a provider inside its market: its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted: not part of the Kin Score or agent readiness.

Market	Position	Depth	Registered MCP server	Declares compatibility
ONVIF Video Analytics (video surveillance, edge cameras, computer vision)	undeclared	-	-	-

Registered MCP server and declares compatibility are report only — not weighted. Undeclared means we found nothing we can read, so there is no number: we never infer integrations.

Standards implemented 1

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

OpenAPI

measured — observed by APIs.io (published)

APIs 5

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.

Open Collections 5

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Unitary content classification API Authentication API

OPEN COLLECTION

Unitary content classification API Authentication Detoxify API

OPEN COLLECTION

Unitary content classification API Authentication Items & Characteristics API

OPEN COLLECTION

Unitary content classification API Authentication moderation API

OPEN COLLECTION

Unitary content classification API Authentication Policy Classification API

OPEN COLLECTION

Agent Skills 3

Packaged agent skills for driving this provider's APIs from an AI assistant.

Classify a video against content policy

AGENT SKILL

Detect toxic language in text

AGENT SKILL

Moderate content with a Virtual Trust and Safety Agent

AGENT SKILL

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Unitary Ai Webhooks

ASYNCAPI

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Unitary AI API Rules

49 rules · 43 errors 5 warnings 1 info

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

Unitary Ai Content Classification Overlay

3 actions · servers · unitary-ai-content-classification-openapi-original.yaml

DERIVED

Security Posture 3

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

Unitary Ai Authentication

http · 1 scheme

SECURITY

Unitary Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Unitary Ai Trust Center

trust center published

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

WellKnown

WellKnown

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Conformance

ErrorCatalog

Lifecycle

Conventions

Webhooks

DataModel

Build 2

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

Access & Security 3

Authentication, authorization, and security posture

Authentication

Authentication

TrustCenter

TrustCenter

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 1

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Overlay

Overlay

Source (apis.yml)

aid: unitary-ai
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: true
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-06'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/unitary-ai.png
name: Unitary AI
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/unitary-ai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- creandum
x-tier: profile
x-tier-reason: enriched-from-portfolio-lead
specificationVersion: '0.23'
x-docs-platform: gitbook
x-docs-platform-confidence: high
x-docs-platform-checked: 2026-10-17
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 19
  pass: local-v1
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Software-as-a-Service
- Content Moderation
- Trust and Safety
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Video
- Virtual Agents
tags_raw:
- Company
- Saas
- Content Moderation
- Trust And Safety
- Artificial Intelligence
- Machine Learning
- Computer Vision
- Video
- Virtual Agents
- Machine-Learning
- Computer-Vision
apis:
- aid: unitary-ai:unitary-ai-api-authentication-api
  name: Unitary AI API Authentication API
  description: The API Authentication API from Unitary AI — 1 operation(s) for api authentication.
  humanURL: https://docs.unitary.ai/
  baseURL: https://api.unitary.ai/v1
  tags:
  - API / Authentication
  tags_raw:
  - API Authentication
  properties:
  - type: OpenAPI
    url: openapi/unitary-ai-api-authentication-api-openapi.yml
  - type: Documentation
    url: https://docs.unitary.ai/
- aid: unitary-ai:unitary-ai-detoxify-api
  name: Unitary AI Detoxify API
  description: The Detoxify API from Unitary AI — 2 operation(s) for detoxify.
  humanURL: https://docs.unitary.ai/
  baseURL: https://api.unitary.ai/v1
  tags:
  - Detoxify
  properties:
  - type: OpenAPI
    url: openapi/unitary-ai-detoxify-api-openapi.yml
  - type: Documentation
    url: https://docs.unitary.ai/
- aid: unitary-ai:unitary-ai-items-characteristics-api
  name: Unitary AI Items & Characteristics API
  description: The Items & Characteristics API from Unitary AI — 4 operation(s) for items & characteristics.
  humanURL: https://docs.unitary.ai/
  baseURL: https://api.unitary.ai/v1
  tags:
  - Items & Characteristics
  properties:
  - type: OpenAPI
    url: openapi/unitary-ai-items-characteristics-api-openapi.yml
  - type: Documentation
    url: https://docs.unitary.ai/
- aid: unitary-ai:unitary-ai-moderation-api
  name: Unitary AI Moderation API
  description: The moderation API from Unitary AI — 1 operation(s) for moderation.
  humanURL: https://docs.unitary.ai/
  baseURL: https://api.unitary.ai/v1
  tags:
  - Moderation
  tags_raw:
  - moderation
  properties:
  - type: OpenAPI
    url: openapi/unitary-ai-moderation-api-openapi.yml
  - type: Documentation
    url: https://docs.unitary.ai/
- aid: unitary-ai:unitary-ai-policy-classification-api
  name: Unitary AI Policy Classification API
  description: The Policy Classification API from Unitary AI — 6 operation(s) for policy classification.
  humanURL: https://docs.unitary.ai/
  baseURL: https://api.unitary.ai/v1
  tags:
  - Policy Classification
  properties:
  - type: OpenAPI
    url: openapi/unitary-ai-policy-classification-api-openapi.yml
  - type: Documentation
    url: https://docs.unitary.ai/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Overlay
  url: overlays/unitary-ai-content-classification-overlay.yaml
- type: Website
  url: https://www.unitary.ai/
- type: Documentation
  url: https://docs.unitary.ai/
- type: GettingStarted
  url: https://docs.unitary.ai/get-started/readme
- type: APIReference
  url: https://docs.unitary.ai/api-references/policy-classification
- type: Authentication
  url: authentication/unitary-ai-authentication.yml
- type: Blog
  url: https://www.unitary.ai/blog
- type: Support
  url: https://www.unitary.ai/contact-us
- type: GitHubOrganization
  url: https://github.com/unitaryai
- type: PrivacyPolicy
  url: https://www.unitary.ai/privacy-policy
- type: TrustCenter
  url: security/unitary-ai-trust-center.yml
- type: DomainSecurity
  url: security/unitary-ai-domain-security.yml
- type: Packages
  url: packages/unitary-ai-packages.yml
- type: WellKnown
  url: well-known/unitary-ai-well-known.yml
- type: X-MCPServerCandidate
  url: mcp/unitary-ai-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: LLMsTxt
  url: llms/unitary-ai-docs-llms.txt
- type: Conformance
  url: conformance/unitary-ai-conformance.yml
- type: ErrorCatalog
  url: errors/unitary-ai-problem-types.yml
- type: Lifecycle
  url: lifecycle/unitary-ai-lifecycle.yml
- type: Conventions
  url: conventions/unitary-ai-conventions.yml
- type: Webhooks
  url: asyncapi/unitary-ai-webhooks.yml
- type: DataModel
  url: data-model/unitary-ai-data-model.yml
- type: AgentSkill
  url: skills/_index.yml

Unitary AI API — frequently asked questions

Does Unitary AI have an API?

Yes. APIs.io lists 5 APIs from Unitary AI, including Unitary AI API Authentication API, Unitary AI Detoxify API and Unitary AI Items & Characteristics API, and 2 more.

Is there an OpenAPI specification for the Unitary AI API?

Yes. APIs.io indexes 5 OpenAPI specifications for Unitary AI, each linked for download from this page.

How do I authenticate with the Unitary AI API?

Unitary AI uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Unitary Ai Authentication.

Is the Unitary AI API ready for AI agents?

Unitary AI has a Kin Score of 34.9 out of 100 (thin) and an Agent Readiness score of 25.9 (agent-aware), scored by API Evangelist on 2026-11-06.

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