Automate your workflows with AI-powered APIs & forms.

This API generates brief synopses (maximum 100 characters) for each game in an upcoming round of a specified sports league. The synopses are designed to provide quick, engaging previews similar to those found on sports streaming platforms like Kayo Sports. The API takes the league name, round number, and details of each game (including teams, venue, and date) as input and returns concise, attention-grabbing synopses that highlight key aspects or storylines for each matchup.

This API allows developers to submit a proposed API description and receive an assessment of its suitability for implementation on the GenerationAPI platform based on predefined criteria. The API evaluates the proposed API against four specific criteria: LLM-Only Functionality, No External Data Access, Self-Contained Logical Processing, and Statelessness. It provides a comprehensive assessment of whether the proposed API meets these criteria, helping developers understand if their API concept is compatible with the GenerationAPI platform's capabilities and constraints.

The LLM API Suitability Analyzer is a specialized service designed to evaluate API descriptions and assess their compatibility with Large Language Model (LLM) implementations. This API analyzes the given description against a set of predefined criteria to determine if the proposed API is well-suited for execution purely through an LLM's capabilities. It considers factors such as the need for external data sources, statelessness, compliance with usage policies, knowledge cutoff limitations, response time feasibility, data privacy concerns, task clarity, and ethical considerations. The analyzer provides a comprehensive assessment, helping developers and architects make informed decisions about whether a proposed API concept is appropriate for LLM-backed implementation.

The LLM API Idea Validator is a specialized service that leverages advanced language models to assess the feasibility of implementing API ideas as LLM-powered services. By accepting natural language descriptions of API concepts through a RESTful endpoint, the service performs a multi-faceted analysis considering fundamental LLM constraints such as the inability to access external data, internal systems, or maintain state. The service uses sophisticated prompt engineering to evaluate each submission against established patterns of successful LLM implementations, examining factors like data independence, statelessness, and alignment with LLM strengths in text processing and generation. For each API idea submitted, the service returns a structured response containing a binary suitability assessment, detailed reasoning explaining the evaluation criteria met or failed, specific technical limitations identified, and actionable suggestions for either proceeding with implementation or modifying the concept to better align with LLM capabilities. The response also includes a confidence score for the assessment and alternative implementation strategies where applicable.

The Article Rewrite API is a powerful tool designed to transform existing articles to suit specific audience types. It takes the original title, content, and target audience as inputs, and returns a rewritten version of the article tailored to the specified audience. This API uses advanced natural language processing techniques to adjust the tone, vocabulary, and complexity of the content, making it more accessible and engaging for the intended readers. It's particularly useful for content creators, marketers, and educators who need to adapt their material for different demographics or expertise levels.

The Content Rewriter API is a powerful tool designed to transform and adapt written content for specific target audiences. This API takes an original title and content, along with a specified audience parameter, and rewrites the text to better suit the intended readers. It utilizes advanced natural language processing techniques to adjust tone, vocabulary, and style, ensuring that the message resonates with the chosen audience while maintaining the core meaning of the original text. This service is invaluable for content creators, marketers, educators, and anyone looking to tailor their writing for different demographics or professional groups.

The Company Enrichment API provides detailed company profiles based on domain name inputs. It retrieves and aggregates information from various sources to deliver a comprehensive overview of a company, including its name, website, industry, headquarters, founding year, employee count, revenue, and a description of the business. This API is designed to assist in tasks such as lead generation, market research, and company analysis.

This API generates search keywords for a video sports app content using a Large Language Model (LLM). It includes caching mechanisms to improve performance and reduce API calls.

The Metadata Enrichment API provides a comprehensive set of tools to enhance the metadata associated with various types of digital content, such as articles, blog posts, product pages, and more. By leveraging advanced natural language processing and machine learning techniques, the API can extract valuable insights, categorize content, identify relevant entities, analyze sentiment, and surface related resources to deliver a rich and contextualized understanding of the content. Key features of the Metadata Enrichment API include: - **Content Categorization**: Automatically classify content into predefined categories based on the topic, subject matter, and thematic elements. - **Entity Extraction**: Identify and extract relevant entities (people, organizations, locations, etc.) mentioned in the content. - **Sentiment Analysis**: Assess the overall sentiment expressed in the content, as well as the sentiment associated with specific keywords and entities. - **Keyword Generation**: Generate a set of relevant keywords that accurately describe the content and its key themes. - **Related Content Recommendations**: Provide a list of related content pieces that are thematically or contextually connected to the input content. By integrating the Metadata Enrichment API, developers can enhance the search, discovery, and personalization capabilities of their applications, enabling users to better navigate and consume relevant content. The API's robust metadata enrichment features unlock new opportunities for content curation, recommendation systems, and advanced analytics, empowering businesses to deliver more engaging and valuable experiences for their audiences.

This API enriches the search metadata of a provided record using a large language model (LLM) to enhance search results. It accepts a JSON object representing a record, processes the content, and returns the same structure with the `searchMetadata.keywords` field updated with additional relevant keywords extracted from the content. This improves the discoverability of the record by ensuring the search metadata accurately reflects the key topics and themes covered. The API uses all of the content along with the LLM's internal knowledge to create an enriched and improved set of keywords. For example, a keyword of "formula 1" would result in additional keywords like "f1", "formula one", "cars".