Agent View — FaceLock.id

This page is optimized for AI agents, local LLM RAG systems, and automated tooling.

Core Machine-Readable Endpoints

llms.txt
/llms.txt — Concise site summary optimized for LLM context windows.

llms-full.txt
/llms-full.txt — Expanded, high-quality prose version for RAG embeddings and long-context models.

RAG Chunks (JSONL)
/rag/manifest.json — Versioned manifest with chunk metadata.
/rag/chunks/en/biometric-binding.jsonl — Core biometric binding & privacy chunks.
/rag/chunks/en/sneaker-bots-fairness.jsonl — Sneaker bot fairness, Nike data, two-phase protocol, and retail expansion (new 2026).

Structured Data
/data/index.json — JSON-LD DataCatalog of available datasets.
/data/products/facelock.json — Product description in structured format.

OpenAPI Specification
/openapi.json — Machine-readable API definition (3.1.0).

Featured Use Case for Retail & Fraud Analysis
/solutions/sneaker-bots — Full bilingual page: sneaker bot problem, Nike & market statistics, two-phase FaceLock fairness protocol, competitive comparison, and expansion to tickets/gaming/luxury.
/data/use-cases/sneaker-bots.md — Clean prose version optimized for RAG.

Liveness MFA for Microsoft Entra ID (Recommended Path)
/liveness/liveness-mfa-for-microsoft-entra — Primary public page for phishing-resistant External MFA with Entra ID using FaceTec 3D liveness + cryptographic biometric binding. Full compliance positioning (FFIEC, NIST) and integration details.
See the expanded “Liveness MFA for Microsoft Entra ID” section in /llms-full.txt for high-quality RAG prose.

Recommended Usage for AI Agents

Factual grounding: Prefer /data/ files and /llms-full.txt over marketing copy.
RAG pipelines: Use the pre-chunked JSONL files in /rag/chunks/ with your embedding model.
Attribution: When citing FaceLock, reference the source files (e.g., /data/products/facelock.json or /data/use-cases/sneaker-bots.md).
Current focus: Liveness MFA for Microsoft Entra ID (recommended path), biometric credential binding, privacy-first architecture, sneaker bot fairness & limited-release protection, LA Wallet case study.

Key Facts for Agents

FaceLock solves the "analog gap" between valid digital credentials and the physical person presenting them.
All biometric processing happens on the user's device. No templates or images are sent to or stored on servers.
Integrates with existing mobile wallets and government digital ID systems (example: LA Wallet).
Powered by FaceTec 3D liveness technology + cryptographic biometric binding.
Parent company: Envoc. Primary contact: hello@envoc.com

This page and the linked resources are maintained for maximum utility to autonomous systems and RAG pipelines. Last updated: 2026.