How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

Qlik AutoML dataset predictions API

Use your ML deployment to generate batch data in file format to predict future outcomes on new data.

Qlik AutoML dataset predictions API is one of 82 APIs that Qlik Sense APIs publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Artificial Intelligence, Business Intelligence, Machine-Learning, and REST. The published artifact set on APIs.io includes API documentation, an API reference, and an OpenAPI specification.

This API exposes 6 operations across 6 paths, and defines 2 schemas. It is described by OpenAPI 3.0.0.

Requests are made against a single base URL, https://{tenant}.{region}.qlikcloud.com.

6 operations 6 paths 2 schemas 5 GET1 POST

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.0.0
Base URL
https://{tenant}.{region}.qlikcloud.com/api/v1/automl-predictions
Resource Areas
1

Paths & Operations 6

Across 6 paths, the API surfaces 6 operations — 5 GET, 1 POST. Each is listed below with its method, path, parameters, and response codes.

automl-predictions 6
GET
/api/v1/automl-predictions/{predictionId}/coordinate-shap
Get shapley values in coordinate form
getCoordinateShapForPrediction 2 params → 200400401403404409503
POST
/api/v1/automl-predictions/{predictionId}/jobs
Retrieve jobs associated with a prediction
getPredictionJobs 1 param → 200400401403404409503
GET
/api/v1/automl-predictions/{predictionId}/not-predicted-reasons
Get any rows where a prediction was not produced
getErrorsForPrediction 2 params → 200400401403404409503
GET
/api/v1/automl-predictions/{predictionId}/predictions
Get a file containing predicted values
getConfigurationsForPrediction 2 params → 200400401403404409503
GET
/api/v1/automl-predictions/{predictionId}/shap
Return a file containing shapley values
getShapForPrediction 2 params → 200400401403404409503
GET
/api/v1/automl-predictions/{predictionId}/source
Return a file containing source values
getSourceForPrediction 2 params → 200400401403404409503

Schemas 2

The contract defines 2 schemas that model the data the API accepts and returns. The most detailed are error (8 properties), appErrorResponse (1 property). Each schema is shown below with its type and property counts.

appErrorResponse
object
1 property
error
object
8 properties 1 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

qliksense-automl-predictions.json Raw ↑

Other APIs Qlik Sense APIs publishes across the network.

Qlik Engine API
Qlik Server-Side Extension Protocol
Qlik Cloud System Events
Qlik MCP Server
Qlik Apps API
Qlik Change stores API
Qlik Adaptive cards API
Qlik ODAG apps API
Qlik ODAG links API
Qlik ODAG requests API
Qlik ODAG settings API
Qlik API keys API
Where this information came from

This is an independent, third-party profile of Qlik AutoML dataset predictions API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.