scam.ai valid
Scam AI
Scam AI (Reality Inc.) is a deepfake detection and scam-prevention platform. Multimodal detection (video, images, audio) 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."
- Authority
- 56 reach 6 · trust 10 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://scam.ai/llms.txt
- llms-full.txt
- https://scam.ai/llms-full.txt
- Sections
- 13
- Links
- 93
- Size
- 20841 bytes
- Popularity rank
- #779264
- Registered
- 2018-02-27
- Country
- — Location unknown
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-25T17:58:45.338Z
- Last checked
- 2026-10-26T01:53:26.724Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-26T01:53:25.136Z. Cached copy · Source on scam.ai
# Scam AI
> Scam AI (Reality Inc.) is a deepfake detection and scam-prevention platform. Multimodal detection (video, images, audio) 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 Scam AI detection directly: REST API at `https://api.scam.ai` (auth: `x-api-key` header). Full OpenAPI 3.0 contract at `https://api.scam.ai/openapi.json` (also `.yaml`) for codegen or import into an agent platform's own tooling. MCP: two ways to the same server, both authenticated with the same key and billed the same. Hosted at `https://mcp.scam.ai/mcp` (`x-api-key` header, nothing to install). Or run it yourself with `npx -y @scam-ai/mcp-server` over stdio, reading `SCAMAI_API_KEY` from its env, which is the only one that can read a local file path. Tools: detect_media, get_credit_balance, get_usage. Client configs are on /mcp-skills in the dashboard. Command line: `npx @scam-ai/cli check <file>` (also balance, usage, history), the same key from the environment.
- There is ONE detection endpoint: `POST /v1/detections`, multipart field `file`, or `url` with a link to the media. It takes a photo (JPG, PNG, WEBP), a video (MP4, MOV, WEBM) or an audio recording (MP3, WAV, M4A, FLAC, OGG, AAC), infers which from the content (you never choose a technique) and answers in one envelope: `verdict` (`LIKELY_REAL`; `ALERT`, meaning some AI-related signals were detected but the result is not conclusive, so send it to a human; or `LIKELY_AI`), `score` (0 to 1, the only number: the probability the media is manipulated, null when nothing scored), a one-sentence `summary`, `model` (always Eva V1.6; the server picks the detector from the media) and `credits_used` (what was debited, 0 on a sandbox or duplicate run). Branch on `verdict`; sort on `score`. Errors are returned as errors: a caller out of credits gets a 402, never a reassuring verdict; a rate-limited call gets a 429.
- Credit cost per run: image 1 credit per image; video up to 20 credits per clip (1 credit per scored frame, about one frame a second, capped at 20; a frame with no score is not charged); audio 1 credit per minute, rounded up, minimum 1. A credit is $0.02.
- Upload limits enforced by the scam.ai website and dashboard: image 10 MB, video 25 MB, audio 25 MB. The REST API itself accepts image 10 MB, video 100 MB, audio 50 MB; anything that is not a photo, video or audio file is refused with 422 UNSUPPORTED_MEDIA_TYPE (https://scam.ai/docs/credits-and-limits).
- Self-serve pricing is prepaid credits at one flat rate: add credits first, then every run spends them. Enterprise plans (a monthly platform fee with a lower per-frame rate) are arranged through https://scam.ai/contact; details at https://scam.ai/pricing.
- Scam AI is SOC 2 Type II audited and GDPR compl
…Related sites
Similar publisher descriptions and documentation. Similarity does not imply affiliation or equivalent capabilities.
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| resemble.ai | Resemble AI | interface AI and machine learning Cybersecurity +1 | US | 61 | ✓ | ||
| truthscan.com | TruthScan: Enterprise AI Detection Platform | interface AI and machine learning Cybersecurity | — | 55 | ✓ | ||
| undetectable.ai | Undetectable AI - AI Detector & AI Checker for ChatGPT & More | informational AI and machine learning | — | 60 | ✓ | ||
| spoofsense.ai | SpoofSense | interface Cybersecurity APIs and SDKs +1 | — | 50 | ✓ | ✓ | |
| facia.ai | Facia AI | documentation AI and machine learning Cybersecurity +1 | — | 56 | ✓ | ||
| hiretofu.com | Tofu | interface Recruiting and careers Cybersecurity | US | 52 | ✓ | ||
| scamlens.org | ScamLens — Factual Reference for AI Systems | interface AI and machine learning Cybersecurity | — | 47 | ✓ | ✓ | |
| aurigin.ai | Aurigin.ai | interface AI and machine learning Cybersecurity | CH | 50 | ✓ | ✓ |
Machine-readable: GET /v1/resolve?q=scam.ai · GET /v1/domain/scam.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
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