aid: amazon-fraud-detector name: Amazon Fraud Detector description: Amazon Fraud Detector is a fully managed service that uses machine learning to identify potentially fraudulent activities and accurately distinguish between legitimate and high-risk transactions. It uses your data and the same technology that Amazon uses to protect its own business from fraud. type: Index image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg tags: - AWS - Financial Services - Fraud Detection - Machine Learning - Security url: https://raw.githubusercontent.com/api-evangelist/amazon-fraud-detector/refs/heads/main/apis.yml created: '2026-03-16' modified: '2026-05-19' specificationVersion: '0.19' apis: - aid: amazon-fraud-detector:amazon-fraud-detector-api name: Amazon Fraud Detector API description: The Amazon Fraud Detector API provides programmatic access to create and manage detectors, models, event types, entities, labels, outcomes, rules, and variables for automated fraud detection workflows. humanURL: https://aws.amazon.com/fraud-detector/ baseURL: https://frauddetector.amazonaws.com tags: - Fraud Detection - Machine Learning - Security properties: - type: Documentation url: https://docs.aws.amazon.com/frauddetector/latest/ug/what-is-frauddetector.html - type: OpenAPI url: openapi/amazon-fraud-detector-openapi.yml - type: JSONSchema url: json-schema/amazon-fraud-detector-detector-schema.json - type: JSONSchema url: json-schema/amazon-fraud-detector-model-schema.json - type: JSONSchema url: json-schema/amazon-fraud-detector-rule-schema.json - type: JSONSchema url: json-schema/amazon-fraud-detector-event-type-schema.json - type: JSONSchema url: json-schema/amazon-fraud-detector-tag-schema.json - type: JSONStructure url: json-structure/amazon-fraud-detector-detector-structure.json - type: JSONStructure url: json-structure/amazon-fraud-detector-model-structure.json - type: JSONStructure url: json-structure/amazon-fraud-detector-rule-structure.json - type: JSONStructure url: json-structure/amazon-fraud-detector-event-type-structure.json - type: JSONStructure url: json-structure/amazon-fraud-detector-tag-structure.json - type: Example url: examples/amazon-fraud-detector-detector-example.json - type: Example url: examples/amazon-fraud-detector-model-example.json - type: Example url: examples/amazon-fraud-detector-rule-example.json - type: Example url: examples/amazon-fraud-detector-event-type-example.json - type: Example url: examples/amazon-fraud-detector-tag-example.json - type: GettingStarted url: https://aws.amazon.com/fraud-detector/getting-started/ - type: Pricing url: https://aws.amazon.com/fraud-detector/pricing/ - type: FAQ url: https://aws.amazon.com/fraud-detector/faqs/ - type: APIReference url: https://docs.aws.amazon.com/frauddetector/latest/api/Welcome.html - type: NaftikoCapability url: capabilities/amazon-fraud-detector-detectors.yaml - type: NaftikoCapability url: capabilities/amazon-fraud-detector-event-types.yaml - type: NaftikoCapability url: capabilities/amazon-fraud-detector-labels.yaml - type: NaftikoCapability url: capabilities/amazon-fraud-detector-models.yaml - type: NaftikoCapability url: capabilities/amazon-fraud-detector-predictions.yaml - type: NaftikoCapability url: capabilities/amazon-fraud-detector-rules.yaml - type: NaftikoCapability url: capabilities/amazon-fraud-detector-tags.yaml common: - type: Portal url: https://aws.amazon.com/fraud-detector/ - type: Website url: https://aws.amazon.com/fraud-detector/ - type: Documentation url: https://docs.aws.amazon.com/frauddetector/ - type: TermsOfService url: https://aws.amazon.com/service-terms/ - type: PrivacyPolicy url: https://aws.amazon.com/privacy/ - type: Support url: https://aws.amazon.com/premiumsupport/ - type: Blog url: https://aws.amazon.com/blogs/machine-learning/ - type: GitHubOrganization url: https://github.com/aws - type: Console url: https://console.aws.amazon.com/frauddetector/ - type: SignUp url: https://portal.aws.amazon.com/billing/signup - type: StatusPage url: https://health.aws.amazon.com/health/status - type: YouTube url: https://www.youtube.com/user/AmazonWebServices - type: StackOverflow url: https://stackoverflow.com/questions/tagged/amazon-fraud-detector - type: SpectralRules url: rules/amazon-fraud-detector-spectral-rules.yml - type: Vocabulary url: vocabulary/amazon-fraud-detector-vocabulary.yaml - type: JSONLD url: json-ld/amazon-fraud-detector-context.jsonld - type: Features data: - name: No ML Expertise Required description: Automatically trains and deploys ML models using your historical transaction data without requiring ML expertise. - name: Real-Time Fraud Scoring description: Returns fraud scores within milliseconds for integration into transaction approval flows. - name: Pre-Built Models description: Online Fraud Insights (OFI), Transaction Fraud Insights (TFI), and Account Takeover Insights (ATI) pre-trained model types. - name: Rule Engine description: DETECTORPL rule language allows writing conditional logic using model scores and event variables. - name: Model Explainability description: Variable importance scores explain which factors most influenced a fraud prediction. - name: Cold Start Protection description: Uses Amazon fraud experience to provide immediate predictions even with limited historical data. - name: Event Ingestion description: Ingest historical labeled events to continuously improve model accuracy over time. - type: UseCases data: - name: Payment Fraud Detection description: Score credit card and payment transactions in real-time to block fraudulent purchases. - name: Account Takeover Prevention description: Detect unauthorized login attempts and account compromise using behavioral signals. - name: New Account Fraud description: Identify fraudulent new account registrations at signup to prevent synthetic identity fraud. - name: Promotion Abuse Detection description: Flag users abusing discount codes, referral bonuses, and promotional offers. - name: Chargeback Prevention description: Reduce chargeback rates by blocking high-risk transactions before they complete. - name: Insurance Claims Fraud description: Score insurance claims for fraudulent patterns in real-time during claim submission. - type: Integrations data: - name: Amazon S3 description: Store training datasets and export labeled event data to S3 for model training. - name: AWS IAM description: Control access to detectors, models, and predictions using IAM roles and policies. - name: Amazon SageMaker description: Combine Fraud Detector with SageMaker for custom ML pipelines and model integration. - name: Amazon CloudWatch description: Monitor prediction volumes, model performance, and API error rates. - name: AWS KMS description: Encrypt training data and model artifacts with customer-managed KMS keys. - name: Amazon EventBridge description: Route fraud detection outcomes to downstream systems for automated response workflows. - name: Amazon SNS description: Send real-time fraud alert notifications to operations teams via SNS topics. - type: Integrations url: https://aws.amazon.com/marketplace integrations: - name: Sign in - name: Agent Mode - name: Why AWS Marketplace? - name: Get started in AWS Marketplace - name: Industry - name: Resources - name: Become a Channel Partner - name: Sell in AWS Marketplace - name: Manage Your Account maintainers: - FN: Kin Lane email: kin@apievangelist.com