# SEON Docs > Documentation for SEON's fraud prevention, AML and identity verification platform — API reference, SDK integration guides and knowledge base. ## About this project - [How this documentation is generated](https://hackathon.seondf.net/how-docs-are-generated.md): A worked example of one release travelling through the proposed Continuous Docs pipeline and arriving as a reviewable pull request against this site. - [Measurements](https://hackathon.seondf.net/measurements.md): What this site costs an AI agent to read compared with docs.seon.io, measured on the same pages — the method, the numbers, and what each site offers an agent. - [Reading these docs as an agent](https://hackathon.seondf.net/ai-consumability.md): How LLMs and coding agents fetch SEON documentation as Markdown — the URL conventions, the llms.txt indexes, and what the site does differently at the serving layer. - [Why this site exists](https://hackathon.seondf.net/why-this-site-exists.md): Documentation cheap enough to correct that it actually gets corrected, and cheap enough for an AI agent to read that it actually gets read. This site is the fix, and the argument for it. ## API Reference - [Fraud API Request](https://hackathon.seondf.net/api-reference/fraud-api-request.md): Send a user action to SEON — the endpoints, the config object that switches each sub-API on, and every request attribute. - [Fraud API Response](https://hackathon.seondf.net/api-reference/fraud-api-response.md): The Fraud API response envelope, every attribute of the data object including device_details, and the complete error code reference. - [JavaScript Agent v6](https://hackathon.seondf.net/api-reference/javascript-agent-v6.md): Collect a device fingerprint in the browser and send it to the Fraud API — integration, configuration, behavioural signals, the payload reference and every suspicious flag. - [Workflow API](https://hackathon.seondf.net/api-reference/workflow-api.md): Initialize verification workflows that combine document verification, selfie checks, fraud detection and AML screening in a single orchestrated flow. ## Identity Verification - [Additional verification checks](https://hackathon.seondf.net/knowledge-base/idv/additional-verification-checks.md): An overview of field-level verification checks that validate specific data points from identity documents to enforce precise compliance rules and reduce fraud. - [Branding and customization](https://hackathon.seondf.net/knowledge-base/idv/branding-and-customization.md): This page explains what you can customize and which parts of the verification flow remain standardized. - [Course correction and retries](https://hackathon.seondf.net/knowledge-base/idv/course-correction-and-retries.md): When a user struggles during verification, course correction guides them to self-correct, while the retry logic controls how many attempts are allowed before the session is invalidated. - [Document verification](https://hackathon.seondf.net/knowledge-base/idv/document-verification.md): A detailed overview of document verification, covering supported documents, verification flow, fraud checks, OCR extraction, user guidance and SDK integration. - [Duplicate detection](https://hackathon.seondf.net/knowledge-base/idv/duplicate-detection.md): Detect and block repeat applicants and multi-accounting by matching biometric and identity data across all verification sessions. - [eIDAS-Compliant Identity Verification](https://hackathon.seondf.net/knowledge-base/idv/eidas-compliant-identity-verification.md): Integrating SEON's eIDAS-compliant identity verification: verification paths, session requirements, and the LoIP compliance result. - [eKYC](https://hackathon.seondf.net/knowledge-base/idv/ekyc.md): Verify user identities in real time by matching personal data against official government, credit bureau and telco databases, enriched with fraud signals. - [Electronic Identity Verification (eID)](https://hackathon.seondf.net/knowledge-base/idv/electronic-identity-verification-eid.md): Verify identity with a government-backed digital ID—national eID or bank ID—attested directly by the issuing authority instead of a photographed document. - [Evidence Collection (Proof of Address, Source of Funds & more)](https://hackathon.seondf.net/knowledge-base/idv/evidence-collection.md): One workflow node that collects and optionally verifies any applicant document. - [Identity verification solution](https://hackathon.seondf.net/knowledge-base/idv/identity-verification-solution.md): A comprehensive overview of SEON’s AI-powered identity verification solution, combining document checks, biometrics and enriched fraud signals to prevent identity fraud and support AML compliance. - [Injection Attack & Deepfake Detection](https://hackathon.seondf.net/knowledge-base/idv/injection-attack-and-deepfake-detection.md): Confirms a document or selfie image genuinely came from the user's live camera, not an injected stream or a synthetic face. Catches fraud that bypasses or fools the camera — beyond traditional liveness and anti-spoofing. - [Integration and webhooks](https://hackathon.seondf.net/knowledge-base/idv/integration-and-webhooks.md): Integrate identity verification into your application and automate real-time decisioning by using SDKs, APIs, hosted flows and event-driven webhooks. - [NFC verification](https://hackathon.seondf.net/knowledge-base/idv/nfc-verification.md): Verify the authenticity of identity documents by reading chip data directly from NFC-enabled passports and ID cards, providing tamper-proof confirmation of document integrity and user identity. - [Payment card verification](https://hackathon.seondf.net/knowledge-base/idv/payment-card-verification.md): On-device payment card scanning that confirms physical card possession and matches cardholder identity at the point of onboarding. Combines real-time card liveness detection with fraud signals to prevent payment fraud and source-of-funds abuse. - [Proof of address](https://hackathon.seondf.net/knowledge-base/idv/proof-of-address.md): The proof of address verification validates residential address documents, detects tampering and enriches results with fraud signals for better detection. - [Selfie and liveness detection](https://hackathon.seondf.net/knowledge-base/idv/selfie-and-liveness-detection.md): An overview of SEON’s AI-powered selfie and liveness check that confirms user presence, prevents spoofing, and biometrically matches the user to their ID, enriched with fraud signals. - [Session management and configuration](https://hackathon.seondf.net/knowledge-base/idv/session-management-and-configuration.md): Configure and manage verification sessions to reduce abandonment, control risk thresholds and optimize identity verification performance across devices and user journeys. ## Integration - [Orchestration](https://hackathon.seondf.net/integration/orchestration.md)