La API de Detección de Autenticidad de Texto determina si un texto dado fue escrito por un humano o generado por un modelo de inteligencia artificial.

Los usuarios solo necesitan ingresar un texto.

Hay diferentes planes para adaptarse a todos los gustos, incluyendo una prueba gratuita para un pequeño número de solicitudes, pero tu tarifa está limitada para evitar el abuso del servicio.

Zyla ofrece una amplia gama de métodos de integración para casi todos los lenguajes de programación. Puedes usar estos códigos para integrarlos en tu proyecto según lo necesites.

El endpoint de Detección de Contenido devuelve un objeto JSON que contiene probabilidades que indican si el texto fue escrito por humanos o generado por IA, junto con estadísticas de uso de tokens.

Los campos clave en la respuesta incluyen "real_probability" (probabilidad de que el texto esté escrito por un humano), "fake_probability" (probabilidad de que el texto sea generado por IA), "all_tokens" (total de tokens en la entrada) y "used_tokens" (tokens procesados).

Los datos de respuesta están estructurados en formato JSON, con pares de clave-valor que brindan información sobre la autenticidad del texto y el uso de tokens, lo que facilita su análisis y utilización en aplicaciones.

El parámetro principal para el endpoint de Detección de Contenido es la entrada de texto, que los usuarios deben proporcionar para analizar su autenticidad.

Los usuarios pueden personalizar sus solicitudes variando el texto que proporcionan al punto final, lo que permite el análisis de diferentes fragmentos de texto para verificar su autenticidad.

Los casos de uso típicos incluyen verificar la autenticidad de los artículos de noticias, moderar el contenido generado por los usuarios, garantizar la integridad académica y mantener los estándares editoriales en el periodismo.

La precisión de los datos se mantiene a través de técnicas avanzadas de procesamiento de lenguaje natural y algoritmos de aprendizaje automático que aprenden continuamente de un conjunto de datos diverso de textos generados por humanos y por IA.

Los controles de calidad incluyen la validación contra patrones lingüísticos conocidos del contenido generado por IA y el entrenamiento continuo del modelo para mejorar las capacidades de detección y reducir los falsos positivos.

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To give you the opportunity to experience our APIs without any commitment, we offer a 7-day free trial that allows you to make up to 50 API calls at no cost. This trial can be used only once, so we recommend applying it to the API that interests you the most. While most of our APIs offer a free trial, some may not. The trial concludes after 7 days or once you've made 50 requests, whichever occurs first. If you reach the 50 request limit during the trial, you will need to "Start Your Paid Plan" to continue making requests. You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab. Alternatively, if you don't cancel your subscription before the 7th day, your free trial will end, and your plan will automatically be billed, granting you access to all the API calls specified in your plan. Please keep this in mind to avoid unwanted charges.

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When you subscribe to an API free trial, you can make up to 50 API calls. If you wish to make additional API calls beyond this limit, the API will prompt you to perform an "Start Your Paid Plan." You can find the "Start Your Paid Plan" button in your profile under Subscription -> Choose the API you are subscribed to -> Pricing tab.

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