Reality Defender

Reality Defender is an enterprise deepfake and AI-generated media detection platform that identifies manipulated images, video, audio, and text across calls, meetings, onboarding, and access workflows in real time. Its detection API accepts uploaded media or social-media URLs and returns an ensemble verdict aggregating multiple purpose-built detection models, letting platforms, financial institutions, and governments block deepfakes before they authorize payments, spread disinformation, or deceive AI agents. Reality Defender ships official SDKs for TypeScript, Python, Go, Rust, and Java, an open-source MCP server for agent integrations, and a Slack app. It was surfaced as a portfolio company of DCVC.

Reality Defender publishes 1 API on the APIs.io network. Tagged areas include Company, Deepfake Detection, Artificial Intelligence, Media Authentication, and Content Moderation.

Reality Defender’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, signup flow, authentication, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub

27.2/100 thin ▬ flat Agent 22/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessSelf serve

1 APIs 1 MCP Servers

Company Deepfake Detection Artificial IntelligenceMedia AuthenticationContent Moderation Security Fraud PreventionSynthetic MediaMachine-Learning

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 27.2/100 · thin

Contract Quality 0.0 / 25

Developer Ergonomics 13.2 / 20

Access Clarity 5.5 / 20

Operational Transparency 0.3 / 13

Contract Governance 0.5 / 12

Discoverability 7.6 / 10

Agent readiness — 22/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 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 0 / 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 6 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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 github.com/api-evangelist/reality-defender: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Reality Defender Detection API

Asynchronous REST API for deepfake and manipulated-media detection. Request a pre-signed upload URL or submit a social-media URL, then poll for an ensemble detection verdict acr...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Reality Defender MCP Server

MCP SERVER

Security Posture 2

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

Reality Defender Authentication

apiKey/oauth2/openIdConnect · 2 schemes

SECURITY

Reality Defender Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

MCPServer

LLMsTxt

WellKnown

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conventions

ErrorCatalog

Lifecycle

Conformance

DataModel

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

TrustCenter

TrustCenter

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

PrivacyPolicy

PrivacyPolicy

TermsOfService

TermsOfService

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: reality-defender
name: Reality Defender
description: Reality Defender is an enterprise deepfake and AI-generated media detection platform that identifies manipulated
  images, video, audio, and text across calls, meetings, onboarding, and access workflows in real time. Its detection API
  accepts uploaded media or social-media URLs and returns an ensemble verdict aggregating multiple purpose-built detection
  models, letting platforms, financial institutions, and governments block deepfakes before they authorize payments, spread
  disinformation, or deceive AI agents. Reality Defender ships official SDKs for TypeScript, Python, Go, Rust, and Java, an
  open-source MCP server for agent integrations, and a Slack app. It was surfaced as a portfolio company of DCVC.
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://www.datocms-assets.com/157377/1744045826-og-image.jpg?auto=format&fit=max&w=1200
url: https://raw.githubusercontent.com/api-evangelist/reality-defender/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- dcvc
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Deepfake Detection
- Artificial Intelligence
- Media Authentication
- Content Moderation
- Security
- Fraud Prevention
- Synthetic Media
- Machine-Learning
tags_raw:
- Company
- Deepfake Detection
- Artificial Intelligence
- Media Authentication
- Content Moderation
- Security
- Fraud Prevention
- Synthetic Media
- Machine Learning
apis:
- name: Reality Defender Detection API
  description: Asynchronous REST API for deepfake and manipulated-media detection. Request a pre-signed upload URL or submit
    a social-media URL, then poll for an ensemble detection verdict across image, video, audio, and text inputs.
  humanURL: https://docs.realitydefender.com/api-reference/quickstart
  baseURL: https://api.prd.realitydefender.xyz
  tags:
  - Deepfake Detection
  - Media
  - Detection
  properties:
  - type: Documentation
    url: https://docs.realitydefender.com/api-reference/quickstart
  - type: Authentication
    url: authentication/reality-defender-authentication.yml
  - type: Conventions
    url: conventions/reality-defender-conventions.yml
  - type: ErrorCatalog
    url: errors/reality-defender-problem-types.yml
  - type: DataModel
    url: data-model/reality-defender-data-model.yml
  - type: Conformance
    url: conformance/reality-defender-conformance.yml
common:
- type: DomainSecurity
  url: security/reality-defender-domain-security.yml
- type: Website
  url: https://www.realitydefender.com
- type: DeveloperPortal
  url: https://docs.realitydefender.com/
- type: Documentation
  url: https://docs.realitydefender.com/
- type: APIReference
  url: https://docs.realitydefender.com/api-reference/quickstart
- type: GettingStarted
  url: https://docs.realitydefender.com/sdks/quickstart
- type: Support
  url: https://intercom.help/reality-defender/en/
- type: Blog
  url: https://www.realitydefender.com/blog
- type: GitHubOrganization
  url: https://github.com/Reality-Defender
- type: SignUp
  url: https://app.realitydefender.ai/
- type: Login
  url: https://auth.app.realitydefender.ai/
- type: PrivacyPolicy
  url: https://www.realitydefender.com/t-c/privacy-policy
- type: TermsOfService
  url: https://www.realitydefender.com/terms
- type: TrustCenter
  url: https://trust.realitydefender.com/
- type: Packages
  url: packages/reality-defender-packages.yml
- type: SDKs
  url: packages/reality-defender-packages.yml
- type: MCPServer
  url: mcp/reality-defender-mcp.yml
- type: LLMsTxt
  url: llms/reality-defender-llms.txt
- type: WellKnown
  url: well-known/reality-defender-well-known.yml
- type: Authentication
  url: authentication/reality-defender-authentication.yml
- type: Conventions
  url: conventions/reality-defender-conventions.yml
- type: ErrorCatalog
  url: errors/reality-defender-problem-types.yml
- type: Lifecycle
  url: lifecycle/reality-defender-lifecycle.yml
- type: Conformance
  url: conformance/reality-defender-conformance.yml
- type: DataModel
  url: data-model/reality-defender-data-model.yml
- type: AgentSkill
  url: skills/_index.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 13
  pass: local-v1

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