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.

33.1/100 thin ▬ flat Agent 38/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
1 APIs 1 MCP Servers
CompanyDeepfake DetectionArtificial IntelligenceMedia AuthenticationContent ModerationSecurityFraud PreventionSynthetic MediaMachine Learning

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 33.1/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 14.8 / 20
Commercial Clarity 8.4 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 9.3 / 10
Agent readiness — 38/100 · agent aware
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
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 4 / 4
Consent & Bot Identity 0 / 3
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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.

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

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Build 3

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 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
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.
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: '0.20'
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
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