# 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 merge to master travelling through the 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 the gaps on both sides. - [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): SEON's documentation lags the product it describes, and costs an agent twenty-four times more to read than it needs to. 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)