# ScamAI > ScamAI (Reality Inc.) is a deepfake detection and scam-prevention platform. Multimodal detection (video, images, documents) via the unified Eva V1.6 API, on-device real-time detection with Halo, plus KYC/IDV and document-forgery detection. Tagline: "Know what's fake." This file is a map of the site for LLMs and AI agents. For the full site content in one fetch, read https://scam.ai/llms-full.txt. Key facts: - Agents can call ScamAI detection directly: REST API at `https://api.scam.ai` (auth: `x-api-key` header), or the MCP server at `https://mcp.scam.ai` (Bearer auth with a ScamAI API key). - There is ONE detection endpoint: `POST /v1/detect`, multipart field `file`. It infers whether you sent an image, a video or a document — you never choose a technique — and answers in one envelope: `verdict` (`CLEAN`, `SUSPICIOUS` or `FORGED`), `risk_score` (0–100, for ordering a review queue), `confidence` (0–1), a plain-English `summary`, `classes` (per-label probabilities summing to 1), `model` (always scamai-Eva v1.6, with the variant that ran) and `credits_used`. Branch on `verdict`; sort on `risk_score`. Errors are returned as errors — a caller out of credits gets a 402, never a reassuring verdict. - Credit cost per run: image 1, document 2, video 8. Limits: image 10MB, document 50MB, video 100MB; 50 requests/minute. - Pricing is prepaid credits: buy credits first, then every model run spends them (per image, minute of video, or document page) — no seats or flat tiers. Volume/committed-use pricing via https://scam.ai/contact. - ScamAI is SOC 2 Type II and GDPR compliant; submitted media is analyzed to produce a result and then discarded, not retained. - Marketing and docs pages are open to AI crawlers. App surfaces (/admin, /login, /signup, /billing, /settings, /api/) are private — don't crawl them. - Research: 13 published papers across 5 areas (deepfake detection, document forgery, age-estimation robustness) with 7 open datasets — named authors on arXiv, listed at https://scam.ai/research. - On-site metrics: 98.2% deepfakes caught, 240ms real-time results (see https://scam.ai/platform/eva). - To reach a human: https://scam.ai/contact. ## Start here - [Home](https://scam.ai/): Deepfake detection and scam prevention. - [Why ScamAI](https://scam.ai/why-scamai): Detection you can act on, with evidence. - [Technology](https://scam.ai/technology): The detection research behind ScamAI. - [FAQ](https://scam.ai/faq): Direct answers on what ScamAI detects, accuracy, real-time use, data handling, and compliance. - [Request a demo](https://scam.ai/contact) ## Platform - [Platform overview](https://scam.ai/platform): Detection, analytics, and the API in one place. - [Eva V1.6 Detection Model — our detection engine](https://scam.ai/platform/eva): The unified API behind every ScamAI result: video, images, and documents, scored together in real time. - [Check if AI — spot AI-generated media in seconds](https://scam.ai/platform/check-if-ai): Upload an image and get an instant read on whether it's AI-generated. - [Deepfake Playground](https://scam.ai/platform/deepfake-playground): Deepfake yourself in 30 seconds. Point your camera at your own face, pick someone to become, and watch the swap happen live — the same thing an attacker can do with consumer tools. - [On-prem deepfake detection](https://scam.ai/platform/on-prem-deployment): Run ScamAI detection inside your own environment — VPC, private cloud, or fully on-premises — so regulated data never leaves your perimeter. - [Risk Signals](https://scam.ai/platform/risk-signals): Monitor threat activity and trends across your organization — act on patterns, not single incidents. - [Deepfake Detection](https://scam.ai/platform/deepfake-detection): Purpose-built deepfake signals — face swaps, full generations, and replays — scored across images, video, and live calls. - [ID Document Forgery Detection](https://scam.ai/platform/id-document-forgery): Tampering and forgery signals for identity documents — passports, national IDs, driver's licenses, residence permits. - [Loan & Insurance Document Forgery](https://scam.ai/platform/loan-insurance-forgery): Forgery signals for due-diligence documents — bank statements, pay stubs, proof of income and address, invoices, policy documents. - [Age Estimation](https://scam.ai/platform/age-estimation): Age checks from a live selfie — an estimated age and the probability the person is over your threshold, no ID collected. - [Device Signals — liveness & presentation-attack detection](https://scam.ai/platform/capture-signals): Detection for spoofed presentations — printed photos, screen replays, and masks — plus liveness failures, caught at the point of capture. - [Manual-Edit Forensics — image forgery detection](https://scam.ai/platform/manual-edit-forensics): Pixel-level forensics for manually edited selfies and documents — splices, clones, and retouching. - [MCP & Skills for LLMs](https://scam.ai/platform/mcp): Bring ScamAI detection to AI agents — an MCP server and agent skills that let LLMs verify media and documents mid-task. - [Detection API](https://scam.ai/platform/api): One API for the places fraud happens: send video, images, or documents and get a scored result back. Native SDKs are on the way. - [Halo — on-device deepfake detection](https://scam.ai/halo): The world's first on-device deepfake detection for live calls. ## For developers and AI agents - [Detection API](https://scam.ai/platform/api): Send video, images, or documents; get a scored result. - [MCP & Skills for LLMs](https://scam.ai/platform/mcp): An MCP server and agent skills so LLMs can verify media and documents mid-task. - [API documentation](https://scam.ai/docs): ScamAI detection API: deepfake, AI-image, and document-forgery detection over REST — base URL, auth header, and the verdict pattern. - [API docs: Authentication](https://scam.ai/docs/authentication): Authenticate ScamAI API requests with the x-api-key header. Manage and rotate keys from the dashboard. - [API docs: Quickstart](https://scam.ai/docs/quickstart): Score your first image for face-swap manipulation with one curl command against the ScamAI detection API. - [API docs: Deepfake / face-swap](https://scam.ai/docs/faceswap-detection): POST /api/defence/faceswap/upload-detect — detect face swaps and deepfaked faces in images, with per-face scores and bounding boxes. - [API docs: AI-image detection](https://scam.ai/docs/ai-image-detection): POST /api/defence/ai-image-detection/detect-file — detect whether an image is AI-generated, with configurable threshold. - [API docs: Document forgery](https://scam.ai/docs/document-forgery): POST /api/defence/docforge/detect — detect document tampering with region-level evidence, overlays, and a calibrated likelihood verdict. - [API docs: Errors](https://scam.ai/docs/errors): ScamAI API error codes: 401 unauthorized, 400 bad request, 422 unprocessable, 429 rate limited, 500 internal error. - [API docs: Constraints & best practices](https://scam.ai/docs/constraints): File formats, size limits, and document-resolution guidance for best accuracy on the ScamAI detection API. - [API docs: Dashboard & support](https://scam.ai/docs/dashboard): Manage API keys, monitor usage, and view detection history in the ScamAI dashboard at app.scam.ai. ## Research - [Research](https://scam.ai/research): Published papers on deepfake detection, document forgery, and age-estimation robustness, with open datasets and named authors on arXiv. ## Solutions - [Solutions overview](https://scam.ai/solutions) - [KYC / IDV fraud detection](https://scam.ai/solutions/kyc-idv): Make sure the person enrolling is live, present, and real — not a replay, a render, or a synthetic identity. ScamAI works with your KYC vendor to strengthen it, not replace it. - [Loan & credit fraud detection](https://scam.ai/solutions/loan-credit): Stop synthetic applicants and doctored income documents at origination, before the money moves. - [Insurance claims fraud detection](https://scam.ai/solutions/insurance-claims): Verify claim photos, videos, and documents are genuine — not staged, edited, or AI-fabricated. - [Meeting deepfake protection](https://scam.ai/solutions/meeting-security): Continuous verification of who is really on the call — powered by Halo. - [Pig butchering scams](https://scam.ai/solutions/pig-butchering): Detect the fake faces and forged proof behind long-con romance and investment scams — before your users are drained. - [Deepfake social engineering attacks](https://scam.ai/solutions/social-engineering): Catch the deepfaked faces attackers use to manipulate employees into transfers, access, and approvals. - [HR / Hiring](https://scam.ai/solutions/hiring-fraud): Protect hiring end to end — make sure the person you interview is the person you hire, not a deepfake stand-in or a proxy. - [Content moderation](https://scam.ai/solutions/content-moderation): Score uploads for AI generation and manipulation before synthetic content spreads. - [Misinformation detection](https://scam.ai/solutions/misinformation): Detect the deepfakes and synthetic media behind misinformation before it spreads and erodes trust. - [Deepfake brand protection](https://scam.ai/solutions/brand-protection): Catch the deepfakes, fake ads, and impersonations that hijack your brand and your executives' likenesses. - [AI phishing & spam detection](https://scam.ai/solutions/phishing-spam): Screen the images, documents, and media inside phishing and spam campaigns for AI generation and manipulation. ## Industries - [KYC/AML compliance](https://scam.ai/industries/kyc-aml-compliance): Meet KYC and AML obligations against AI-era fraud — deepfake selfies, forged IDs, and synthetic identities caught at onboarding and beyond. - [On-device deepfake detection agent](https://scam.ai/industries/on-device-agent): Real-time detection that runs on the device — media and identity verified locally, with nothing leaving the endpoint. Shipping today in Halo; an embeddable agent for your own apps and devices is in development. - [Deepfake detection for financial services](https://scam.ai/industries/financial-services): Stop synthetic identities at onboarding and deepfaked executives on video calls before the wire is released. - [Deepfake detection for the public sector](https://scam.ai/industries/public-sector): Protect officials and citizens from impersonation campaigns. - [E-commerce & marketplaces](https://scam.ai/industries/e-commerce-marketplaces): Keep fake sellers and cloned storefronts out. - [Dating apps](https://scam.ai/industries/dating-apps): Keep fake profiles, AI-generated photos, and deepfaked video calls off your platform — before they turn into romance scams. - [Telecom fraud detection](https://scam.ai/industries/telecom): Protect SIM changes, account access, and support channels from synthetic identities and social engineering. ## Compare - [ScamAI vs Reality Defender](https://scam.ai/company/vs-reality-defender): Reality Defender is a strong, well-funded media-authenticity layer — it flags AI-generated audio, video, image, and text, and now watches live calls. But it stops at detection: no document-forgery or liveness for identity flows, and every check runs server-side. ScamAI adds the identity and document layer, and runs detection on the endpoint itself with Halo. - [ScamAI vs Sensity](https://scam.ai/company/vs-sensity): Sensity has grown from deepfake monitoring into real-time detection — a KYC product and a Teams plugin for live calls, with strong forensic explainability. The gap now is where the detection runs: Sensity scores in the cloud, while ScamAI runs on the endpoint with Halo, so sensitive KYC media never leaves the perimeter. - [ScamAI vs Hive](https://scam.ai/company/vs-hive): Hive is a content-moderation platform with a serious deepfake-detection line — credible enough to win a U.S. Department of Defense contract. But its core is moderation at scale; ScamAI is fraud-first, built to protect identity and stop scams, and runs on-device where Hive is a cloud API. - [ScamAI vs Resemble AI](https://scam.ai/company/vs-resemble-ai): Resemble Detect is genuinely capable — one model across audio, video, and image, real-time on calls, with a strong explainability story. But Resemble also builds voice-cloning technology, so it sits on both sides of the problem. ScamAI is independent — detection is the whole business — and runs on-device with Halo. - [ScamAI vs Incode](https://scam.ai/company/vs-incode): Incode is a Gartner-Leader identity-verification platform that now ships Deepsight, a dedicated deepfake engine. It's excellent at onboarding — but that's its center of gravity. ScamAI defends every call, claim, and login after onboarding, runs on-device for live meetings, and deploys on-prem/VPC. - [ScamAI vs Sightengine](https://scam.ai/company/vs-sightengine): Sightengine is a content-moderation API with deepfake detection and a passive-liveness check bolted on. ScamAI is a fraud and identity platform — document-forgery, liveness, and deepfake detection in one result, running on-device with Halo where Sightengine runs server-side. - [ScamAI vs AI or Not](https://scam.ai/company/vs-aiornot): AI or Not answers "is this AI-generated?" — a general classifier. ScamAI is a fraud and identity detection layer: document-forgery, liveness, and deepfake signals your KYC flow acts on, running on-device with Halo. ## Resources - [Deepfake regulation tracker](https://scam.ai/resources/regulation): Where deepfake and AI-fraud law stands, jurisdiction by jurisdiction. - [Education](https://scam.ai/resources/education): Learn how AI-driven scams work — and how to defend against them. - [Trust Center](https://scam.ai/resources/trust-center): Security, privacy, and compliance documentation. - [Changelog](https://scam.ai/resources/changelog): What's new in ScamAI detection — models, APIs, and product. - [Affiliate program](https://scam.ai/resources/affiliate): Earn by referring teams that need deepfake and fraud detection. - [Partner program](https://scam.ai/resources/partners): Resell, integrate, or build on the ScamAI detection API. - [Deepfake detection education program](https://scam.ai/resources/education-program): Training, certification, and curriculum for partners, students, and institutions who want to teach and deploy deepfake detection. - [Our partners](https://scam.ai/resources/partnerships): Build with ScamAI — technology, channel, and integration partnerships that embed deepfake detection into more products, platforms, and go-to-market motions. ## Blog - (see /resources/blog) ## News - (see /resources/press) ## Company - [About](https://scam.ai/company/about) - [Team](https://scam.ai/company/team) - [Careers](https://scam.ai/company/careers) - [Brand kit](https://scam.ai/brand) ## Legal - [Privacy Policy](https://scam.ai/legal/privacy): How Reality Inc. (DBA Scam.ai) collects, uses, discloses, and protects personal data across its sites and services, and the rights available to individuals. - [Terms of Service](https://scam.ai/legal/terms): The binding terms governing access to and use of the ScamAI website and services. - [Cookie Policy](https://scam.ai/legal/cookies): How and why we use cookies and similar technologies, and how to control them. - [Data Processing Addendum](https://scam.ai/legal/dpa): Processor terms for personal data processed on behalf of customers (GDPR Art. 28 and equivalents). - [Subprocessors](https://scam.ai/legal/subprocessors): The third parties we engage to help operate the Services. - [Master Services Agreement](https://scam.ai/legal/msa): The default commercial terms for paid ScamAI Services, unless a signed agreement provides otherwise. - [Halo App End User License Agreement](https://scam.ai/legal/halo-eula): The license terms and conditions for using the Halo on-device deepfake-detection application.