Qlik Sense · OpenAPI Overlay 1.0.0

API Evangelist conversational phrasing for Qliksense Search API

3 actions 3 updates phrasing extends openapi/qliksense-search-api-openapi.yml

Generated by API Evangelist Written by API Evangelist tooling for Qlik Sense's API. It is a proposal applied on top of the contract, not a document Qlik Sense publishes.

View Overlay File View on GitHub Overlay Specification

What the actions change

x-apievangelist-phrasing

Targets 3

$.info

$.paths['/api/v1/assistants/{assistantId}/actions/search'].post

$.paths['/api/v1/knowledgebases/{id}/actions/search'].post

OpenAPI Overlay

# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Qliksense Search API
  version: 1.0.0
extends: openapi/qliksense-search-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 2
- target: $.paths['/api/v1/assistants/{assistantId}/actions/search'].post
  update:
    x-apievangelist-phrasing:
      intent: Search an assistant's knowledge
      effect: read
      questions:
      - How do I run a semantic search over the content behind one of my assistants?
      - What is the most chunks an assistant search can return?
      - Can I use hybrid search with reranking instead of plain semantic search?
      instructions:
      - text: Search assistant {assistantId} for {prompt}.
        slots:
          assistantId: path.assistantId
          prompt: requestBody.prompt
      - text: Search assistant {assistantId} for {prompt} in {searchMode} mode, returning {topN} chunks.
        slots:
          assistantId: path.assistantId
          prompt: requestBody.prompt
          searchMode: requestBody.searchMode
          topN: requestBody.topN
      method: generated
      generated: '2026-09-26'
- target: $.paths['/api/v1/knowledgebases/{id}/actions/search'].post
  update:
    x-apievangelist-phrasing:
      intent: Search chunks in a knowledge base
      effect: read
      questions:
      - Can I run a semantic search directly against one knowledge base?
      - What is the difference between SIMPLE and FULL knowledge base search?
      instructions:
      - text: Search knowledge base {id} for {prompt}.
        slots:
          id: path.id
          prompt: requestBody.prompt
      - text: Search knowledge base {id} for {prompt} in {searchMode} mode, top {topN} chunks.
        slots:
          id: path.id
          prompt: requestBody.prompt
          searchMode: requestBody.searchMode
          topN: requestBody.topN
      method: generated
      generated: '2026-10-01'

Work with this as data

Every overlay here is available over the APIs.io API and to AI agents over MCP.

MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

https://apis.io/mcp

Tools for openapi overlays

4 MCP tools reach this

find_overlaysBrowse and filter every overlay in the catalog.
apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
resolveTurn a domain, URL or GitHub org into the provider it belongs to.
find_cohortsEvery scored population of providers in the catalog.

All 92 tools →

Call it yourself

curl for this page

This overlay

curl "https://apis.io/api/v1/overlays/qliksense-search-api-phrasing-overlay"

All openapi overlays

curl "https://apis.io/api/v1/overlays?limit=25"

Discovery needs no key. Ratings and market analysis are Pro.

Get an API key

Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.

GitHub Google LinkedIn

A second provider on the same verified email joins the account you already have.