ReadinessAssessment

Readiness assessment results

Properties

Property	Type	Required	Description
`overall_score`	`number`	✅ Yes	Overall readiness score 0-1
`readiness_level`	`string`	✅ Yes	Tier level: Premium/Growth/Standard/Emerging
`missing_critical`	`array`	❌ No	Critical missing fields
`recommendations`	`array`	❌ No	Recommendations for improvement
`summary`	`object`	❌ No	Summary statistics

Example

{
  "overall_score": 0,
  "readiness_level": "example",
  "missing_critical": [],
  "recommendations": [],
  "summary": {}
}

Used In

Not used in any documented endpoints.

Code Examples

TypeScript

interface ReadinessAssessment {
  overall_score: number;
  readiness_level: string;
  missing_critical?: string[];
  recommendations?: string[];
  summary?: Record<string, any>;
}
 
// Usage example
const data: ReadinessAssessment = {
  "overall_score": 0,
  "readiness_level": "example",
  "missing_critical": [],
  "recommendations": [],
  "summary": {}
};

Python

from data_layer.schemas import ReadinessAssessment
 
# Create instance
data = ReadinessAssessment(
    # Add your field values here
)

cURL

curl -X POST "https://altsportsleagues-backend-2qcdjegnaa-uc.a.run.app/api/endpoint" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{   "overall_score": 0,   "readiness_level": "example",   "missing_critical": [],   "recommendations": [],   "summary": {} }'

Validation Rules

Required Fields: overall_score, readiness_level

overall_score: Minimum value 0

overall_score: Maximum value 1

Additional Information

Type: object
Source: Generated from Pydantic models in data_layer/schemas/
Auto-validated: All fields are validated by FastAPI

This documentation is auto-generated from the OpenAPI specification.

RagQueryResponse ReadinessRequest