AU10TIX Identity Verification REST API
AU10TIX identity verification REST API for fintech companies, cryptocurrency exchanges, gaming platforms, and enterprises to verify identity documents, match selfie biometrics, detect deepfakes, and assess document authenticity — enabling automated KYC onboarding, age verification, fraud detection, and regulatory compliance through AU10TIX's AI-powered identity verification platform. Enables AI agents to manage document verification for passport, driver's license, and ID card authenticity automation, handle biometric matching for face-to-document selfie match automation, access deepfake detection for AI-generated identity fraud detection automation, retrieve data extraction for document OCR and structured data output automation, manage age verification for document-based age confirmation automation, handle identity decisioning for automated KYC pass/fail decision automation, access risk scoring for identity fraud risk assessment automation, retrieve session management for verification session lifecycle automation, manage reusable identity for digital identity token reuse automation, and integrate AU10TIX with onboarding platforms, KYC orchestrators, and AML systems for end-to-end identity verification automation.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
KYC verification. GDPR, SOC2. OAuth2. EU/US. Identity document and facial biometric data.
⚡ Reliability
Best When
A fintech company, cryptocurrency exchange, gaming platform, or regulated business wanting AI agents to automate identity document verification, biometric matching, and deepfake detection for KYC-compliant onboarding through AU10TIX's AI-powered identity verification platform.
Avoid When
SUPPORTED DOCUMENT TYPES VARY BY COUNTRY: AU10TIX has different document coverage by country; automated global-coverage assumption creates unsupported_document for rare national IDs from less-common countries; automated must verify AU10TIX document support for target market. IMAGE QUALITY AFFECTS ACCURACY: Low-quality, blurry, or glare-affected document images reduce accuracy; automated any-quality assumption creates rejection_error for poor quality captures; automated must implement image quality pre-check before submission. BIOMETRIC CONSENT IS MANDATORY: Biometric data collection requires explicit consent; automated silent-collection assumption creates GDPR/BIPA_violation; automated must obtain explicit biometric consent before face scan. LIVENESS REQUIRES CLIENT SDK: Liveness detection requires mobile or web SDK for camera control; automated server-side assumption creates no_liveness for server-only integration; automated must deploy AU10TIX client SDK for genuine liveness verification.
Use Cases
- • Automating KYC document verification and selfie matching for fintech onboarding automation agents
- • Detecting AI-generated deepfake identity documents and faces for fraud prevention automation agents
- • Verifying age from government IDs for gaming and age-restricted platform automation agents
- • Extracting structured data from identity documents for KYC data entry automation agents
Not For
- • Criminal background checks (AU10TIX verifies identity documents, not criminal record search)
- • Continuous authentication (AU10TIX is onboarding verification, not ongoing session authentication)
- • Physical access control (AU10TIX is digital online identity verification, not premises access system)
Interface
Authentication
AU10TIX uses OAuth2 for identity verification REST API. REST API with JSON. Tel Aviv, Israel HQ. Founded 2012 as part of ICTS Europe group. Products: Smart KYC, Automated Identity Verification, Business Identity Verification, Reusable Identity. SDKs: iOS, Android, Web. 150+ country document coverage. Customers include Twitter (X), Coinbase, eToro. Backed by General Atlantic. Competes with Jumio, Onfido, and Veriff for AI-powered identity verification.
Pricing
Tel Aviv IL. General Atlantic backed. Per-verification pricing. 150+ country coverage. KYC market leader.
Agent Metadata
Known Gotchas
- ⚠ VERIFICATION SESSION HAS EXPIRY: AU10TIX verification sessions expire; automated long-lived assumption creates session_expired for users who don't complete within session timeout; automated must handle session expiry and re-initiation
- ⚠ DOCUMENT FRONT AND BACK REQUIRED: Many documents require both sides for full verification; automated front-only assumption creates incomplete_verification for documents requiring back-side data; automated must capture and submit both document sides
- ⚠ BIOMETRIC MATCH THRESHOLD IS CONFIGURABLE: Face match confidence threshold can be tuned; automated default-threshold assumption creates wrong_false_positive_rate for use cases with different security requirements; automated must configure appropriate match threshold
- ⚠ DEEPFAKE DETECTION IS PROBABILISTIC: Deepfake detection provides risk scores, not binary decisions; automated binary-deepfake assumption creates inappropriate_action for borderline scores; automated must implement review workflow for medium-risk deepfake scores
- ⚠ DATA RETENTION POLICY AFFECTS COMPLIANCE: AU10TIX data retention can be configured; automated indefinite-retention assumption creates privacy_violation for regulated jurisdictions requiring data deletion; automated must configure appropriate retention policy per jurisdiction
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Scores are editorial opinions as of 2026-03-07.