Scholarly

Description

Scholarly is an AI-powered search engine for exploring scientific literature.

Details

Added5 months ago

Votes0

Total Installations0

Categorysearch

Websitescholarly.maila.ai

https://scholarly.maila.ai/.well-known/ai-plugin.json

{
    "schema_version": "v1",
    "name_for_model": "scholarly",
    "name_for_human": "Scholarly",
    "description_for_model": "Scholarly is a search engine for finding summaries of research papers.",
    "description_for_human": "Scholarly is an AI-powered search engine for exploring scientific literature.",
    "auth": {
        "type": "none"
    },
    "api": {
        "type": "openapi",
        "url": "https://scholarly.maila.ai/.well-known/openapi.yaml",
        "has_user_authentication": false
    },
    "logo_url": "https://scholarly.maila.ai/.well-known/logo.png",
    "contact_email": "kevin@maila.ai",
    "legal_info_url": "https://scholarly.maila.ai/legal"
}

https://scholarly.maila.ai/.well-known/openapi.yaml

openapi: 3.1.0
info:
  title: Scholarly
  description: An AI-powered Scholar Search Engine designed to search for the latest research papers.
  version: 1.0.3
  contact:
    email: kevin@maila.ai
servers:
  - url: https://scholarly.maila.ai
paths:
  /search:
    post:
      operationId: searchPost
      summary: Search for scientific research papers and fetch their metadata.
      description: |
        Scholarly uses the provided queries to return search results, which include the title, summary, abstract, URL, publication date, and citation count of each paper.
      requestBody:
        required: true
        content:
          application/json:
            schema:
              type: object
              properties:
                query:
                  type: string
                  description: The search query, which can consist of one or more search terms.
                  example: effects of climate change on polar bears
                semanticQuery:
                  type: string
                  description: The semantic query, which can consist of one or more academic terms.
                  example: polar bear conservation climate change
                keyTerms:
                  type: string
                  description: The key terms that are specific to the paper.
                  example: polar bear, climate change
              required:
                - query
                - semanticQuery
                - keyTerms

      responses:
        "200":
          description: Operation successful.
          content:
            application/json:
              schema:
                type: array
                items:
                  type: object
                  properties:
                    title:
                      type: string
                      description: The title of the paper.
                    summaryOrAbstract:
                      type: string
                      description: The summary or abstract of the paper.
                    url:
                      type: string
                      description: The URL of the paper.
                    publicationDate:
                      type: string
                      description: The publication date of the paper.
                    citationCount:
                      type: integer
                      description: The citation count of the paper.
        "400":
          description: Bad request.
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
                    description: Error message.
                example:
                  error: No query provided.
        "default":
          description: Error occurred while fetching search results.
          content:
            application/json:
              schema:
                type: object
                properties:
                  error:
                    type: string
                    description: Error message.
                example:
                  error: Error occurred while fetching search results.

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