AxonFlow · Schema

CreateRegistryRequest

CompanyAI GovernanceAI AgentsPolicy EnforcementAudit LoggingComplianceMCPOpen Source

Properties

Name Type Description
system_id string Unique identifier for the AI system
system_name string Human-readable name
description string Description of the AI system
use_case string Primary use case category
risk_rating_impact integer Customer impact rating (1-5)
risk_rating_complexity integer Model complexity rating (1-5)
risk_rating_reliance integer Human reliance rating (1-5)
owner_team string Team responsible for the system
owner_email string Email of the system owner
data_sources array Data sources consumed by the system
model_type string Model type (e.g. gradient_boosting, llm, rules_engine)
version string System/model version
View JSON Schema on GitHub

JSON Schema

axonflow-create-registry-request-schema.json Raw ↑
{
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "$id": "https://raw.githubusercontent.com/api-evangelist/axonflow/main/json-schema/axonflow-create-registry-request-schema.json",
  "title": "CreateRegistryRequest",
  "x-generated": "2026-10-09",
  "x-method": "derived",
  "x-generator": "derive-json-schema.py",
  "x-source": "openapi/axonflow-masfeat-openapi.yml#/components/schemas/CreateRegistryRequest",
  "type": "object",
  "required": [
    "system_id",
    "system_name",
    "use_case",
    "risk_rating_impact",
    "risk_rating_complexity",
    "risk_rating_reliance",
    "owner_team",
    "owner_email"
  ],
  "properties": {
    "system_id": {
      "type": "string",
      "description": "Unique identifier for the AI system"
    },
    "system_name": {
      "type": "string",
      "description": "Human-readable name"
    },
    "description": {
      "type": "string",
      "description": "Description of the AI system"
    },
    "use_case": {
      "type": "string",
      "enum": [
        "credit_scoring",
        "robo_advisory",
        "insurance_underwriting",
        "trading_algorithm",
        "aml_cft",
        "customer_service",
        "fraud_detection",
        "other"
      ],
      "description": "Primary use case category"
    },
    "risk_rating_impact": {
      "type": "integer",
      "minimum": 1,
      "maximum": 5,
      "description": "Customer impact rating (1-5)"
    },
    "risk_rating_complexity": {
      "type": "integer",
      "minimum": 1,
      "maximum": 5,
      "description": "Model complexity rating (1-5)"
    },
    "risk_rating_reliance": {
      "type": "integer",
      "minimum": 1,
      "maximum": 5,
      "description": "Human reliance rating (1-5)"
    },
    "owner_team": {
      "type": "string",
      "description": "Team responsible for the system"
    },
    "owner_email": {
      "type": "string",
      "description": "Email of the system owner"
    },
    "data_sources": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Data sources consumed by the system"
    },
    "model_type": {
      "type": "string",
      "description": "Model type (e.g. gradient_boosting, llm, rules_engine)"
    },
    "version": {
      "type": "string",
      "description": "System/model version"
    }
  }
}

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