Scam AI

Scam AI detection API reference: one endpoint for deepfake, AI-image and synthetic-voice detection across image, video, audio and links. Auth, fields, errors.

Deepfake and scam protection mapped to real attack paths: meeting security, KYC onboarding, hiring fraud, loan and insurance fraud, and fraud-ops triage.

Deepfake detection across video, images, and audio — the detection API & SDK, risk signals, on-device Halo — plus document forgery detection, a separate plan.

How Scam AI detects deepfakes and forgeries: Eva V1.6, one unified API scoring images, video, and voice recordings, with explainable, evidence-backed results.

The Scam AI changelog: Halo for Windows, the Node and Python SDKs, the CLI and MCP server, and detection releases for images, video and audio, newest first.

Deepfake detection training, certification, and curriculum for partners, universities, and researchers — with hands-on labs on the live Scam AI API.

Explore Scam AI research papers and datasets spanning document forgery, deepfake detection, age estimation, phone scams, adversarial robustness, and AI safety.

The page explains how deepfakes and AI scams operate, offering tools to test detection on user media, simulate face swaps, and track deepfake laws by country.

The page features Scam AI news, including announcements, media coverage, and commentary on deepfake detection and AI fraud prevention.

Scam AI careers: a small, ruthlessly selective team beating the criminals who use AI to deceive people — hiring across GTM, growth, and detection research.

What each media type costs in Scam AI credits, the size cap per media type, the rate limits, when a repeat file is not charged, and how sandbox keys behave.

Pay as you go: $0.02 a credit, one flat rate. An image is 1 credit, video is billed per frame, audio per minute. Enterprise and document plans on request.

The team behind Scam AI: detection researchers, ML engineers, and product builders who retrain against new attack techniques and ship detection the same week.

Scam AI creates deepfake and AI-fraud detection tools like Eva V1.6 and Halo, delivering evidence-based results for media, identity, and document verification.

Scam AI develops deepfake detection and scam-prevention tools, including Eva V1.6 and Halo, and provides information about the company and team.

Why teams choose Scam AI: deepfake detection with evidence attached to every result, explicit severity levels, and media that is scored, then discarded.

Scam AI collects user feedback on deepfake detection to inform product development and roadmap decisions.

Users can report bugs in Scam AI’s site, dashboard, API, or detection results to help resolve issues quickly.

The page offers a 15-minute live demo of Scam AI’s deepfake detection on user-provided media, tailored to specific use cases.

Verifit helps reduce inspection costs and accelerate decision-making for workflows, teams, and customer experiences.

Scam AI detects deepfakes, forged identity documents, and AI fraud in real time. One API for KYC, claims, and content moderation — plus Halo for live calls.

Processor terms for personal data ScamAI processes on behalf of customers under GDPR Article 28: instructions, security, subprocessors, transfers, audits.

How Reality Inc. (DBA Scam.ai) collects, uses, discloses, and protects personal data across its sites and services, and the rights available to individuals.

Scam AI lists third-party vendors supporting its services, including hosting, databases, email, analytics, and abuse prevention, and explains how updates are announced.

The license terms for Halo outline installation, device storage, updates, and liability limits for the on-device deepfake-detection app.

The default commercial terms for paid ScamAI Services — fees, term, confidentiality, IP and data, and liability — unless a signed agreement provides otherwise.

The binding terms governing access to and use of the ScamAI website, dashboard, API, and apps, including accounts, acceptable use, termination, and liability.