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Didit

Official

@didit-protocol · United States of America

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23Public Repos
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16Published Skills

Infrastructure for identity and fraud. One API · KYC · KYB · biometrics · AML · monitoring. 1,000+ data sources. 220+ countries. http://business.didit.me

Skills Distribution
DomainCybersecurit...Identity Verificat.. (40%)Biometric Authenti.. (30%)Regulatory Complia.. (30%)

Agent Skills by Didit

Showing 16 vetted skills indexed across 2 GitHub repositories.

didit-protocoldidit-protocol
23

didit-id-document-verification

Verify identity documents via OCR, MRZ parsing, and liveness checks.

Official
Advanced
didit-protocoldidit-protocol
23

didit-kyc-onboarding

Orchestrates KYC identity verification workflows and retrieves final decisions for onboarding.

Official
Advanced
didit-protocoldidit-protocol
23

didit-biometric-age-estimation

Estimate age and detect liveness from facial images via API.

Official
Intermediate
didit-protocoldidit-protocol
23

didit-liveness-detection

Detect liveness from a single selfie via the Didit standalone API.

Official
Intermediate
didit-protocoldidit-protocol
23

didit-verification-management

Manage Didit identity verification platform accounts, API keys, sessions, and billing.

Official
Advanced
didit-protocoldidit-protocol
23

didit-email-verification

Send and validate one-time email verification codes with configurable options.

Official
Intermediate
didit-protocoldidit-protocol
23

didit-phone-verification

Send and verify one-time codes across SMS, WhatsApp, Telegram, and voice channels.

Official
Intermediate
didit-protocoldidit-protocol
23

didit-proof-of-address

Automate proof-of-address verification with OCR extraction and geocoding.

Official
Advanced
didit-protocoldidit-protocol
23

didit-age-estimation

Estimates age from a facial image using Didit's API with configurable thresholds and liveness detection.

Official
Advanced
didit-protocoldidit-protocol
23

didit-face-search

Perform 1:N facial searches against verified sessions to detect duplicate registrations.

Official
Intermediate
didit-protocoldidit-protocol
23

didit-sessions

Manage Didit verification sessions and workflows via a single API.

Official
Advanced
didit-protocoldidit-protocol
23

didit-aml-screening

Screen individuals or companies against global watchlists via POST requests.

Official
Advanced
didit-protocoldidit-protocol
23

didit-face-match

Compare two facial images and return a similarity score from 0 to 100.

Official
Intermediate
didit-protocoldidit-protocol
23

didit-id-verification

Submit identity document images to Didit's ID verification API for structured results.

Official
Advanced
didit-protocoldidit-protocol
23

didit-database-validation

Validate personal data against government and financial databases for identity fraud risk.

Official
Advanced
didit-protocoldidit-protocol
23

didit-passive-liveness

Analyze a single image with the Didit Passive Liveness API to verify user presence.

Official
Intermediate

Frequently Asked Questions About Didit

FAQPage Schema
What specific identity verification tasks does Didit enable?

Didit enables comprehensive identity verification including KYC and KYB onboarding, AML watchlist screening, and biometric age estimation. It supports document verification via OCR and MRZ parsing, alongside multi-channel contact verification for email, SMS, WhatsApp, and voice to ensure secure user registration and fraud mitigation.

Which personas benefit from integrating these identity services?

Compliance officers, security engineers, and product developers building fintech or regulated platforms benefit from these services. These personas use the platform to streamline user onboarding, satisfy global regulatory requirements, and implement robust fraud prevention measures without managing disparate data sources or manual verification processes.

What are the prerequisites for implementing Didit verification services?

Implementation requires an active account to manage credentials and session configurations. Developers must integrate the provided endpoints to submit document images, facial data, or personal information for processing. The system relies on standard HTTP requests to return structured verification results, similarity scores, and compliance decisions.