Raid AI

Raid AI (RAID AI, Inc.) is an enterprise-grade deepfake and AI-content forensics platform covering audio, image, document, and video. Its REST API detects AI-generated, cloned, deepfaked, and digitally edited media — returning a verdict, a confidence score, and (on detailed plans) generator attribution — across image forensics, voice analysis, document tampering detection, and asynchronous fact-checking against the public record. Audio detection claims 98% accuracy and sub-50ms latency across 100+ languages with specialized Arabic dialect coverage. Raid AI runs a zero-retention pipeline (media analyzed in memory and discarded), offers cloud API plus on-premise air-gapped deployment, and ships native integrations with Microsoft Teams, Zoom, Google Meet, Slack, Webex, and WhatsApp for financial services, call centers, enterprise meetings, and government use cases.

Raid AI publishes 1 API on the APIs.io network. Tagged areas include Company, Deepfake Detection, AI Content Detection, Media Forensics, and Voice / Audio Detection.

Raid AI’s developer surface includes documentation, API reference, getting-started guide, support, engineering blog, pricing, signup flow, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub
32.7/100 thin ▬ flat Agent 38/100 agent aware Full breakdown ↓
scored 2026-07-27 · rubric v0.5
AccessSelf serve
1 APIs 1 MCP Servers
CompanyDeepfake DetectionAI Content DetectionMedia ForensicsVoice / Audio DetectionImage ForensicsDocument ForensicsFact-CheckingTrust & SafetySecurity

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 32.7/100 · thin
Contract Quality 0.0 / 25
Developer Ergonomics 13.5 / 20
Commercial Clarity 8.9 / 20
Operational Transparency 1.0 / 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
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/raid-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 1

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

Raid AI Detection & Fact-Checking API

One REST API to detect AI-generated and manipulated images, audio, and documents — and fact-check media against the public record. Bearer API-token auth with per-key detection s...

MCP Servers 1

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

raid-ai-mcp.yml

MCP SERVER

Security Posture 2

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

Raid Ai Authentication

apiKey/oauth2/openIdConnect · 3 schemes

SECURITY

Raid Ai Domain Security

TLSv1.3 · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Raid Ai Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal
DeveloperPortal
 GettingStarted
GettingStarted
 SignUp
SignUp
 Login
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

WellKnown
WellKnown
 LLMsTxt
LLMsTxt
 MCPServer
MCPServer
 AgentSkill
AgentSkill

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Conventions
Conventions
 ErrorCatalog
ErrorCatalog
 Lifecycle
Lifecycle
 Conformance
Conformance

Access & Security 3

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication
 OAuthScopes
OAuthScopes

Operate 2

Status, limits, changes, and where to get help

Support
Support
 Deprecation
Deprecation

Commercial 3

Pricing, plans, and the legal terms of use

Pricing
Pricing
 TermsOfService
TermsOfService
 PrivacyPolicy
PrivacyPolicy

Company 4

The organization behind the API

Website
Website
 Blog
Blog
 LinkedIn
LinkedIn
 Twitter
Twitter

Source (apis.yml)

apis.yml Raw ↑ 
aid: raid-ai
name: Raid AI
description: Raid AI (RAID AI, Inc.) is an enterprise-grade deepfake and AI-content forensics platform covering audio, image,
  document, and video. Its REST API detects AI-generated, cloned, deepfaked, and digitally edited media — returning a verdict,
  a confidence score, and (on detailed plans) generator attribution — across image forensics, voice analysis, document tampering
  detection, and asynchronous fact-checking against the public record. Audio detection claims 98% accuracy and sub-50ms latency
  across 100+ languages with specialized Arabic dialect coverage. Raid AI runs a zero-retention pipeline (media analyzed in
  memory and discarded), offers cloud API plus on-premise air-gapped deployment, and ships native integrations with Microsoft
  Teams, Zoom, Google Meet, Slack, Webex, and WhatsApp for financial services, call centers, enterprise meetings, and government
  use cases.
url: https://raw.githubusercontent.com/api-evangelist/raid-ai/refs/heads/main/apis.yml
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://raidxai.com/raid-ai-icon.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- 500-global
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Deepfake Detection
- AI Content Detection
- Media Forensics
- Voice / Audio Detection
- Image Forensics
- Document Forensics
- Fact-Checking
- Trust & Safety
- Security
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- name: Raid AI Detection & Fact-Checking API
  description: One REST API to detect AI-generated and manipulated images, audio, and documents — and fact-check media against
    the public record. Bearer API-token auth with per-key detection scopes (image, audio, fact-check, document, document-image).
  humanURL: https://docs.raidxai.com/docs
  baseURL: https://api.raidxai.com
  tags:
  - Deepfake Detection
  - Image Forensics
  - Voice Analysis
  - Document Forensics
  - Fact-Checking
  properties:
  - type: Documentation
    url: https://docs.raidxai.com/docs
  - type: APIReference
    url: https://docs.raidxai.com/docs/reference
  - type: GettingStarted
    url: https://docs.raidxai.com/docs/getting-started
  - type: Authentication
    url: authentication/raid-ai-authentication.yml
  - type: OAuthScopes
    url: scopes/raid-ai-scopes.yml
  - type: WellKnown
    url: well-known/raid-ai-well-known.yml
  - type: LLMsTxt
    url: llms/raid-ai-llms.txt
  - type: Conventions
    url: conventions/raid-ai-conventions.yml
  - type: ErrorCatalog
    url: errors/raid-ai-error-codes.yml
  - type: Lifecycle
    url: lifecycle/raid-ai-lifecycle.yml
  - type: Conformance
    url: conformance/raid-ai-conformance.yml
  - type: MCPServer
    url: mcp/raid-ai-mcp.yml
  - type: AgentSkill
    url: skills/_index.yml
common:
- type: DomainSecurity
  url: security/raid-ai-domain-security.yml
- type: Website
  url: https://raidxai.com
- type: DeveloperPortal
  url: https://docs.raidxai.com/docs
- type: Documentation
  url: https://docs.raidxai.com/docs
- type: APIReference
  url: https://docs.raidxai.com/docs/reference
- type: GettingStarted
  url: https://docs.raidxai.com/docs/getting-started
- type: Support
  url: https://docs.raidxai.com/docs/support
- type: Blog
  url: https://raidxai.com/blog
- type: Pricing
  url: https://raidxai.com/pricing
- type: SignUp
  url: https://app.raidxai.com/dashboard
- type: Login
  url: https://app.raidxai.com/dashboard
- type: TermsOfService
  url: https://raidxai.com/terms
- type: PrivacyPolicy
  url: https://raidxai.com/privacy
- type: Authentication
  url: authentication/raid-ai-authentication.yml
- type: OAuthScopes
  url: scopes/raid-ai-scopes.yml
- type: WellKnown
  url: well-known/raid-ai-well-known.yml
- type: LLMsTxt
  url: llms/raid-ai-llms.txt
- type: Conventions
  url: conventions/raid-ai-conventions.yml
- type: ErrorCatalog
  url: errors/raid-ai-error-codes.yml
- type: Lifecycle
  url: lifecycle/raid-ai-lifecycle.yml
- type: Deprecation
  url: https://docs.raidxai.com/docs/versioning
- type: Conformance
  url: conformance/raid-ai-conformance.yml
- type: MCPServer
  url: mcp/raid-ai-mcp.yml
- type: AgentSkill
  url: skills/_index.yml
- type: LinkedIn
  url: https://www.linkedin.com/company/104616241/
- type: Twitter
  url: https://x.com/Raidxai
x-enrichment:
  date: '2026-07-20'
  status: enriched
  artifacts_added: 15
  pass: local-v1