Kata.ai Prediction API

Run entity prediction against a deployed NLU model.

Operations 1

POST /nlus/{nluId}/predict Predict entities for a sentence #

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OpenAPI Specification

kataai-prediction-api-openapi.yml Raw ↑
openapi: 3.2.0
info:
  title: Kata.ai NL Prediction API
  description: The Kata.ai Natural Language (NL) Prediction API exposes a trained Natural Language Understanding model built in NL Studio so it can be called from any application. Given an input sentence it returns detected entities (trait, dict, phrase) with scores, spans, resolved values, and entity relationships. Reconstructed from the published Kata Platform documentation (kata-ai/kata-platform-docs, nl-studio/nl-prediction-api); an API Evangelist derived specification, not a Kata.ai-published OpenAPI.
  version: 1.0.0
  contact:
    name: Kata.ai
    email: business@kata.ai
    url: https://docs.kata.ai/nl-studio/nl-prediction-api
  x-provenance:
    generated: '2026-07-19'
    method: generated
    source: https://github.com/kata-ai/kata-platform-docs/blob/master/docs/nl-studio/nl-prediction-api.md
servers:
- url: https://geist.kata.ai
  description: Kata.ai NL Prediction API host
security:
- bearerAuth: []
tags:
- name: Prediction
  description: Run entity prediction against a deployed NLU model.
paths:
  /nlus/{nluId}/predict:
    post:
      tags:
      - Prediction
      operationId: predict
      summary: Predict entities for a sentence
      description: Runs the deployed NLU model identified by nluId against the input text and returns detected entities grouped by entity name. Obtain the API token from NL Studio > Settings.
      parameters:
      - name: nluId
        in: path
        required: true
        schema:
          type: string
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              required:
              - text
              properties:
                text:
                  type: string
                  example: ada satu bebek dan lima kucing di sawah
      responses:
        '200':
          description: Prediction result
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/PredictionResult'
              example:
                result:
                  ner:
                  - type: phrase
                    score: 0.9999965645021311
                    value: sawah
                    label: LOCATION
                    start: 34
                    end: 39
                  animal:
                  - type: dict
                    score: 0.7501584501364904
                    value: bebek
                    start: 9
                    end: 14
                    resolved:
                      dictKey: duck
        '403':
          description: You're not authorized to view this page.
components:
  schemas:
    Entity:
      type: object
      properties:
        type:
          type: string
          enum:
          - trait
          - dict
          - phrase
        start:
          type: integer
        end:
          type: integer
        score:
          type: number
        value:
          type: string
        label:
          type: string
        belongsTo:
          type: object
          properties:
            name:
              type: string
            index:
              type: integer
            score:
              type: number
        resolved:
          type: object
          additionalProperties: true
    PredictionResult:
      type: object
      properties:
        result:
          type: object
          additionalProperties:
            type: array
            items:
              $ref: '#/components/schemas/Entity'
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
      description: 'Bearer token from NL Studio Settings (Authorization: Bearer <token>).'