Amazon Fraud Detector · Arazzo Workflow

Amazon Fraud Detector Inventory Models and Detectors

Version 1.0.0

List models for an event type, then list detectors and tag a chosen detector with its model count.

1 workflow 3 source APIs 1 provider
View Spec View on GitHub Financial-ServicesFraud DetectionMachine-LearningSecurityArazzoWorkflows

Provider

amazon-fraud-detector

Workflows

inventory-models-detectors
List models and detectors, then mark a detector as inventoried.
Lists models and detectors to build an inventory, then tags a chosen detector resource to record that the inventory pass completed.
3 steps inputs: detectorArn, modelType outputs: detectors, models, taggedArn
1
listModels
List the models, optionally filtered by model type, to build the model side of the inventory.
2
listDetectors
List the detectors to build the detector side of the inventory.
3
markInventoried
Tag the chosen detector resource to record that an inventory pass ran.

Source API Descriptions

Arazzo Workflow Specification

Raw ↑
arazzo: 1.0.1
info:
  title: Amazon Fraud Detector Inventory Models and Detectors
  summary: List models for an event type, then list detectors and tag a chosen detector with its model count.
  description: >-
    Produces a quick inventory of the fraud assets tied to an event type. The
    workflow lists the models, lists the detectors, and then tags a chosen
    detector resource with a marker recording that an inventory pass ran. Each
    step spells out its request inline so the flow can be read and executed
    without opening the underlying OpenAPI description.
  version: 1.0.0
  x-realizes-capability-ids:
  - BC-1400.30
  x-capability-derivation:
    method: 'deterministic join: sourceDescriptions -> per-tag OpenAPI -> tag/capability edge. No classification at this step.'
    min_confidence: 0.7
    sources:
    - capability_id: BC-1400.30
      capability_name: Fraud Detection & Investigation Management
      spec: amazon-fraud-detector-detectors-api-openapi.yml
      confidence: 0.7
    model: Turbo EA Capabilities by Vincent Verdet — Turbo EA, https://github.com/vincentmakes/turbo-ea-capabilities, CC BY 4.0
sourceDescriptions:
- name: detectorsApi
  url: ../openapi/amazon-fraud-detector-detectors-api-openapi.yml
  type: openapi
- name: modelsApi
  url: ../openapi/amazon-fraud-detector-models-api-openapi.yml
  type: openapi
- name: tagsApi
  url: ../openapi/amazon-fraud-detector-tags-api-openapi.yml
  type: openapi
workflows:
- workflowId: inventory-models-detectors
  summary: List models and detectors, then mark a detector as inventoried.
  description: >-
    Lists models and detectors to build an inventory, then tags a chosen
    detector resource to record that the inventory pass completed.
  inputs:
    type: object
    required:
    - detectorArn
    properties:
      modelType:
        type: string
        description: An optional model type to filter the model listing by.
      detectorArn:
        type: string
        description: The ARN of the detector resource to mark as inventoried.
  steps:
  - stepId: listModels
    description: >-
      List the models, optionally filtered by model type, to build the model
      side of the inventory.
    operationId: getModels
    requestBody:
      contentType: application/json
      payload:
        modelType: $inputs.modelType
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      models: $response.body#/models
  - stepId: listDetectors
    description: >-
      List the detectors to build the detector side of the inventory.
    operationId: getDetectors
    requestBody:
      contentType: application/json
      payload: {}
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      detectors: $response.body#/detectors
      firstDetectorId: $response.body#/detectors/0/detectorId
  - stepId: markInventoried
    description: >-
      Tag the chosen detector resource to record that an inventory pass ran.
    operationId: tagResource
    parameters:
    - name: resourceARN
      in: path
      value: $inputs.detectorArn
    requestBody:
      contentType: application/json
      payload:
        tags:
        - key: InventoryPass
          value: completed
    successCriteria:
    - condition: $statusCode == 200
    outputs:
      taggedArn: $inputs.detectorArn
  outputs:
    models: $steps.listModels.outputs.models
    detectors: $steps.listDetectors.outputs.detectors
    taggedArn: $steps.markInventoried.outputs.taggedArn

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