generated: '2026-07-19'
method: searched
source: https://github.com/Kimola/kimola-cognitive-api-documentation
description: Verbatim request/response examples published in the Kimola Cognitive API documentation.
examples:
  - name: custom-model-prediction
    method: GET
    path: /v1/cognitive/Models/{secret}/tags
    request: "curl -X GET 'https://api.kimola.com/v1/cognitive/Models/{secret}/tags?text=hello&strict=false' -H 'Authorization: Bearer {key}'"
    response:
      - {name: "...", probability: 0.8}
      - {name: "...", probability: 0.11}
      - {name: "...", probability: 0.04}
  - name: custom-model-prediction-batch
    method: POST
    path: /v1/cognitive/Models/{secret}/tags
    request: "curl -X POST 'https://api.kimola.com/v1/cognitive/Models/{secret}/tags' -H 'Authorization: Bearer {key}' -H 'Content-Type: application/json-patch+json' -d '[{\"id\":\"...\",\"text\":\"...\"}]'"
    response:
      - {id: "0", label: "Game Praise", probability: 0.96}
      - {id: "1", label: "Feature & Design", probability: 0.48}
  - name: prebuilt-model-prediction
    method: GET
    path: /v1/cognitive/Models/{code}/{language}/tags
    request: "curl -X GET 'https://api.kimola.com/v1/cognitive/Models/{code}/en/tags?text=hello&strict=false' -H 'Authorization: Bearer {key}'"
    response:
      - {name: "Others", probability: 1}
      - {name: "Pricing", probability: 0}
      - {name: "Technical Issues", probability: 0}
  - name: model-details
    method: GET
    path: /v1/cognitive/Models/{secret}
    response:
      isReady: true
      id: "..."
      language: en
      languageName: English
      name: "..."
      category: "..."
      algorithm: "..."
      accuracy: 0.87
      recordCount: 5049
      trainedDate: "..."
      modifiedDate: "..."
      createdDate: "..."