La API de Veracidad 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 proporciona 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 es probablemente escrito por un humano o generado por IA, junto con información sobre el uso de tokens.

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

Los datos de respuesta están estructurados como un objeto JSON con pares de clave-valor, lo que facilita el análisis y la extracción de información relevante sobre la autenticidad del texto.

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

Los usuarios pueden utilizar las probabilidades devueltas para evaluar la autenticidad del texto. Por ejemplo, una alta "real_probability" indica autoría humana, mientras que una alta "fake_probability" sugiere generación por IA.

Los casos de uso típicos incluyen verificar la autenticidad de artículos de noticias, moderar contenido generado por los usuarios, asegurar la integridad académica y mantener los estándares periodísticos detectando texto generado por IA.

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 nuevos patrones de texto y mejoran las capacidades de detección.

La API emplea pruebas rigurosas contra un conjunto de datos diverso de textos generados por humanos y por IA para garantizar una detección fiable y minimizar los falsos positivos o negativos.

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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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