Nexla

Nexla Query API

The Query API from Nexla — 1 operation(s) for query.

Documentation GitHub OpenAPI

Work with this as data

Every API 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 apis

7 MCP tools reach this

find_apisBrowse and filter every API in the catalog.
get_api_artifactsOne API's artifacts, grouped by type.
get_openapiThe primary OpenAPI for this API.
find_similar_apisAPIs that look like this one.
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 API

curl "https://apis.io/api/v1/apis/nexla-query-api"

All apis

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

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

Get an API key

Free tier, no email required.

GitHub Google LinkedIn

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

OpenAPI Specification

openapi: 3.2.0
info:
  title: Nexla GenAI (RAG + MCPaaS) Query API
  description: Combined Nexla GenAI RAG API Service and MCPaaS
  version: v0.2.3.3-combined
tags:
- name: Query
paths:
  /query:
    post:
      summary: Query
      description: Handle query requests.
      operationId: query_query_post
      parameters:
      - name: final_prompt
        in: query
        required: false
        schema:
          title: Final Prompt
      - name: token_type
        in: query
        required: false
        schema:
          $ref: '#/components/schemas/TokenType'
          default: service_key
      - name: authorization
        in: header
        required: false
        schema:
          type: string
          title: Authorization
      requestBody:
        required: true
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/QueryRequest'
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema: {}
        '422':
          description: Validation Error
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      tags:
      - Query
components:
  schemas:
    ValidationError:
      properties:
        loc:
          items:
            anyOf:
            - type: string
            - type: integer
          type: array
          title: Location
        msg:
          type: string
          title: Message
        type:
          type: string
          title: Error Type
        input:
          title: Input
        ctx:
          type: object
          title: Context
      type: object
      required:
      - loc
      - msg
      - type
      title: ValidationError
    QueryRequest:
      properties:
        user_query:
          type: string
          title: User Query
          description: Query text to be processed.
        datasets:
          items:
            $ref: '#/components/schemas/Dataset'
          type: array
          title: Datasets
          description: List of datasets to include in the query.
        ai_model:
          type: string
          title: Ai Model
          description: Model identifier to use for processing the query.
        llm_provider:
          type: string
          title: Llm Provider
          description: LLM provider to use for processing the query.
        streaming:
          type: boolean
          title: Streaming
          description: Flag to indicate if the response should be streamed.
          default: false
        debug:
          type: boolean
          title: Debug
          description: Flag to send intermediate logs to the frontend.
          default: false
        fast_mode:
          type: boolean
          title: Fast Mode
          description: Flag to enable fast mode which skips timeinfo LLM call, grading, and build_user_context.
          default: false
      type: object
      required:
      - user_query
      - datasets
      - ai_model
      - llm_provider
      title: QueryRequest
    Dataset:
      properties:
        id:
          type: string
          title: Id
          description: The unique identifier for the dataset.
      type: object
      required:
      - id
      title: Dataset
    TokenType:
      type: string
      enum:
      - bearer
      - service_key
      title: TokenType
    HTTPValidationError:
      properties:
        detail:
          items:
            $ref: '#/components/schemas/ValidationError'
          type: array
          title: Detail
      type: object
      title: HTTPValidationError