Automate your workflows with AI-powered APIs & forms.

The Weather API provides current weather conditions and forecasts for a specified location. Users can request weather information by providing a location, and the API will return the current temperature, weather condition, and a multi-day weather forecast. This API is useful for a variety of applications, such as weather-related apps, travel planning, and retail operations that need to monitor weather conditions.

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".

The Comprehensive Document Generator API is a powerful tool that automatically creates detailed, multi-sectional documents on any given topic or subject. By accepting a high-level input, the API leverages advanced natural language processing and content generation capabilities to produce comprehensive overviews that cover the history, key concepts, current state, and future outlook of the subject matter. The generated documents are structured in a clear and organized manner, with an introductory section that provides a high-level summary 'explained like a 5-year-old', followed by deeper dives into specific aspects of the topic. The API can handle a wide range of subjects, from broad topics like 'Renewable Energy' to more specific areas of interest, and the output can be customized to meet the needs of various stakeholders, such as researchers, educators, policymakers, or the general public.

This microservice is designed to evaluate and validate the performance of risk identification algorithms. It provides a comprehensive analysis of algorithm effectiveness, accuracy, and reliability in identifying various types of risks. The service accepts input data about the algorithm's predictions and actual outcomes, then generates detailed performance metrics and insights. This tool is invaluable for data scientists, risk managers, and decision-makers who need to assess and improve their risk assessment models. Key features include calculation of precision, recall, F1 score, ROC curve analysis, and comparison against baseline models. The service also offers recommendations for algorithm optimization based on the evaluation results.

The Risk Assessment Enhancement Microservice is designed to facilitate ongoing improvements to an organization's risk assessment system. This microservice provides a structured approach to collecting, analyzing, and implementing enhancements to risk assessment processes. It enables teams to submit proposed changes, track the status of enhancements, and integrate approved modifications into the existing risk assessment framework. The service supports continuous improvement by allowing stakeholders to identify areas for refinement, suggest new risk factors or assessment methodologies, and collaborate on implementing these changes. By leveraging this microservice, organizations can ensure their risk assessment system remains up-to-date, accurate, and aligned with evolving business needs and regulatory requirements.

The Risk Criteria Alignment API is a microservice designed to evaluate and ensure that defined criteria conform to an organization's established risk management framework. This API helps businesses maintain consistency in their risk assessment processes by automatically checking if proposed criteria or changes to existing criteria are in line with the organization's risk policies and standards. It analyzes input criteria against predefined rules and thresholds, providing insights on alignment, potential conflicts, and suggestions for improvements. This service is crucial for organizations looking to maintain robust governance, streamline their risk management processes, and ensure compliance across various departments and projects.

This microservice API consolidates data from various sources into a unified format specifically designed for risk analysis. It streamlines the process of gathering and standardizing data from multiple inputs, making it easier for risk analysts to perform comprehensive assessments. The API accepts data from different sources, processes it to ensure consistency, and outputs a standardized format that can be readily used in risk analysis models and tools. This service is particularly useful for organizations dealing with large volumes of data from diverse origins, helping to reduce manual data preparation time and improve the accuracy and efficiency of risk analysis processes.