> ## Documentation Index
> Fetch the complete documentation index at: https://docs.fincept.in/llms.txt
> Use this file to discover all available pages before exploring further.

# Cross-Sectional Transformations

> Applies cross-sectional transformations: z-score normalization, ranking, percentile scoring, demeaning, and winsorized z-score. Essential for portfolio construction and factor modeling. [Tier: ENTERPRISE, Credits: 10]



## OpenAPI

````yaml api-specs/ml.json post /quantlib/ml/features/cross-sectional
openapi: 3.1.0
info:
  title: FinceptQuantLib API - ML
  description: >-
    Machine Learning and Credit Risk module endpoints for FinceptQuantLib API.
    Pro Tier access required (5 credits per request). Covers credit scoring,
    model validation, regression models, clustering, anomaly detection, feature
    engineering, and preprocessing.
  version: 3.0.0
  contact:
    name: Fincept API Support
    url: https://fincept.in
servers:
  - url: https://api.fincept.in
    description: Fincept API Production Server
security:
  - APIKeyHeader: []
tags:
  - name: quantlib-ml
    description: Machine Learning and Credit Risk Analytics
    x-displayName: ML
paths:
  /quantlib/ml/features/cross-sectional:
    post:
      tags:
        - quantlib-ml
      summary: Cross-Sectional Transformations
      description: >-
        Applies cross-sectional transformations: z-score normalization, ranking,
        percentile scoring, demeaning, and winsorized z-score. Essential for
        portfolio construction and factor modeling. [Tier: ENTERPRISE, Credits:
        10]
      operationId: cross_sectional_features
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
                - data
              properties:
                data:
                  type: array
                  description: Cross-sectional data (e.g., stock returns, company metrics)
                  items:
                    type: number
                  example:
                    - 0.05
                    - 0.12
                    - -0.03
                    - 0.08
                    - 0.15
                    - -0.01
                method:
                  type: string
                  description: Transformation method
                  enum:
                    - zscore
                    - rank
                    - percentile
                    - demean
                    - winsorized_zscore
                  default: zscore
                  example: rank
      responses:
        '200':
          description: Transformed cross-sectional data
          content:
            application/json:
              schema:
                type: object
                properties:
                  success:
                    type: boolean
                    example: true
                  data:
                    type: object
                    properties:
                      method:
                        type: string
                        example: rank
                      values:
                        type: array
                        items:
                          type: number
                        description: Transformed values
                        example:
                          - 3
                          - 5
                          - 1
                          - 4
                          - 6
                          - 2
        '401':
          $ref: '#/components/responses/UnauthorizedError'
        '402':
          $ref: '#/components/responses/InsufficientCreditsError'
        '422':
          $ref: '#/components/responses/ValidationError'
components:
  responses:
    UnauthorizedError:
      description: Authentication information is missing or invalid
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: string
                example: Invalid API key
    InsufficientCreditsError:
      description: Insufficient credits for this operation
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: string
                example: Insufficient credits. This endpoint requires 5 credits.
    ValidationError:
      description: Request validation error
      content:
        application/json:
          schema:
            type: object
            properties:
              detail:
                type: array
                items:
                  type: object
                  properties:
                    loc:
                      type: array
                      items:
                        type: string
                    msg:
                      type: string
                    type:
                      type: string
  securitySchemes:
    APIKeyHeader:
      type: apiKey
      in: header
      name: X-API-Key
      description: >-
        API key for authentication. Get your key at
        https://api.fincept.in/auth/register

````