TextCortex offers an AI-powered text generation API that enables developers to integrate advanced language models into their applications for tasks such as content creation, paraphrasing, and more.
TextCortex offers an AI-powered text generation API that enables developers to integrate advanced language models into their applications for tasks such as content creation, paraphrasing, and more. On Nagent, Textcortex is exposed as a fully-configurable artificial intelligence integration that any agent can call — 7 actions, and API key authentication. No code is required to wire Textcortex into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use Textcortex to automate the kinds of tasks artificial intelligence teams previously handled manually. Concrete examples — each one is a single agent step in Nagent — include:
Every action and trigger is paired with a structured input/output schema (visible in the sections below), so when you wire Textcortex into Helix — our agentic agent builder — the editor knows exactly what each step expects and produces. Configure once, deploy anywhere across your Nagent agents.
Every operation an agent can call against Textcortex, with input parameters and output schema. Drop these into any step of an agent built in Helix.
TEXTCORTEX_CREATE_PRODUCT_TITLETool to generate catchy product titles for listings. Use when you need to create compelling titles for product listings or descriptions.
Input parameters
The number of outputs to generate (default: 1).
Name of the product.
Brand of the product.
Model specification to use for generation.
Category of the product.
Keywords to include in the product description.
Tone/style preference for the generated title.
The maximum number of tokens to generate (default: 2048).
Features of the product.
Source language (defaults to English). ISO language code.
Target language for output. ISO language code.
Controls output randomness (0.0 to 1.0).
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
TEXTCORTEX_CREATE_SOCIAL_MEDIA_POSTTool to generate engaging social media posts for Twitter and LinkedIn. Use when you need to create platform-specific content with appropriate tone, length, and formatting.
Input parameters
Number of different post variations to generate (default: 1). Useful when you want multiple options to choose from.
Target social media platform for the post. Determines the style, tone, and format of the generated content.
Model identifier to use for generation (e.g., 'gpt-4o'). If not specified, uses the default model.
The context or main idea for the social media post. Provide details about what the post should be about, key messages, or any specific information to include.
List of keywords or hashtags to include in the post. These will be naturally integrated into the generated content.
Tone or formality level for the post (e.g., 'formal', 'casual', 'professional'). Influences the writing style and language used.
Maximum number of tokens to generate (default: 2048). Controls the length of the output.
Language of the source context (ISO code, e.g., 'en', 'es', 'fr'). Default is 'en'.
Target language for the generated post (ISO code). If different from source_lang, the post will be translated.
Sampling temperature for output variation (0.0 to 1.0). Higher values produce more creative/random outputs, lower values are more deterministic.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
TEXTCORTEX_CREATE_VIDEO_DESCRIPTIONTool to generate compelling video descriptions for YouTube or other platforms. Use when you need to create optimized descriptions that include context, keywords, and target audience information.
Input parameters
The number of video description outputs to generate (default: 1).
Video platform mode for description generation.
The model identifier to use for generation.
The title of the video for which to generate the description.
Topic, target audience, and other details about the video to help generate an appropriate description.
List of keywords to include in the video description for SEO purposes.
The formality level or tone for the generated description (e.g., 'formal', 'casual', 'professional').
The maximum number of tokens to generate (default: 2048).
The language of the source context and title (ISO code, e.g., 'en', 'auto').
The desired output language for the description (ISO code, e.g., 'en', 'es', 'fr').
The sampling temperature for text generation (0.0 to 1.0). Higher values make output more creative.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
TEXTCORTEX_GENERATE_CODETool to generate code for a given programming language. Use when you need to create code snippets, functions, or algorithms in specific programming languages.
Input parameters
Number of code completions to generate (default: 1).
The programming language to generate code in (e.g., python, javascript, java, sql, go, rust, php, typescript, c++, c#).
The code description or prompt to generate code from. Describe the functionality you want to implement.
The model to use for code generation (e.g., icortex-1, sophos-1).
Maximum number of tokens to generate in the response.
Sampling temperature for generation (0.0 to 1.0). Higher values make output more random.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
TEXTCORTEX_GENERATE_EMAILTool to generate email body and subject based on provided details. Use when you need to compose or personalize an email from a prompt.
Input parameters
Main prompt or context for generating the email. Include details like recipient, purpose, tone preference, and any specific information to include.
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
TEXTCORTEX_SUMMARIZE_TEXTTool to summarize text. Use when you need a concise summary of longer content. Use after confirming the full input text.
Input parameters
The number of outputs to generate (default: 1).
Mode for summarization: 'default' or 'embeddings'.
The text to summarize. Either text or file_id must be provided.
Model identifier to use for summarization.
ID of the file to summarize. Either text or file_id must be provided.
Tone/style parameter for the summary.
The maximum number of tokens to generate (default: 2048).
The language of the source text (ISO code, e.g., 'en', 'auto').
The desired output language (ISO code, e.g., 'en', 'es', 'fr').
The sampling temperature for text generation (0.0 to 1.0).
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
TEXTCORTEX_TRANSLATE_TEXTTool to translate text into another language. Use when you need to translate content between different languages. Supports 72+ languages with auto-detection capability.
Input parameters
Number of translation variations to generate (default: 1).
The text to translate.
Model identifier to use for translation.
Maximum number of tokens to generate.
Source language code (ISO code, e.g., 'en', 'es'). Auto-detected if not provided.
Target language code to translate to (e.g., 'es' for Spanish, 'fr' for French, 'de' for German).
Sampling temperature for generation (0.0 to 1.0).
Output
Data from the action execution
Error if any occurred during the execution of the action
Whether or not the action execution was successful or not
No publicly available marketplace agent is found using this tool yet. There are 62 agents privately built on Nagent that already use Textcortex.
Build on Nagent
Connect Textcortex to any Nagent agent in minutes — no API key management, no boilerplate. Just configure and deploy.
The five questions agent builders ask before adopting a new integration.
Open the External Integrations panel inside Nagent (app.nagent.ai/externalIntegration), find Textcortex, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, Textcortex is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once Textcortex is connected, you configure its 7 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop Textcortex steps into any workflow visually. Pick an action (e.g., one of those listed above), fill in the inputs (Helix knows the required vs. optional schema for each parameter), and connect it to upstream/downstream steps. Triggers run as the entry point of an agent, so when a Textcortex event fires, the agent kicks off automatically.
Every Textcortex action and trigger ships with a fully-typed schema — input parameters with name, type, required flag, and description, plus the output payload shape. The schemas are documented in the sections above. Helix uses these schemas to validate your configuration at build time and to type-check the data flowing between steps.
Yes. While Textcortex ships with 7 pre-built artificial intelligence actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching Textcortex together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build Textcortex-based workflows tailored to your business.