Rosette Text Analytics is a platform that uses natural language processing, statistical modeling, and machine learning to analyze unstructured and semi-structured text across 364 language-encoding-script combinations, revealing valuable information and actionable data.
Rosette Text Analytics is a platform that uses natural language processing, statistical modeling, and machine learning to analyze unstructured and semi-structured text across 364 language-encoding-script combinations, revealing valuable information and actionable data. On Nagent, Rosette Text Analytics is exposed as a fully-configurable artificial intelligence integration that any agent can call — 3 actions, and API key authentication. No code is required to wire Rosette Text Analytics into your workflow — connect it once via the External Integrations panel and reuse it across every agent you build.
Agent builders use Rosette Text Analytics 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 Rosette Text Analytics 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 Rosette Text Analytics, with input parameters and output schema. Drop these into any step of an agent built in Helix.
ROSETTE_TEXT_ANALYTICS_ADDRESS_SIMILARITYCompares two addresses and returns a similarity score. Addresses can be provided as single strings or as structured objects. The tool is optimized for English, Simplified Chinese, and Traditional Chinese addresses.
Input parameters
The first address to compare. Can be a string or a structured object.
The second address to compare. Can be a string or a structured object.
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
ROSETTE_TEXT_ANALYTICS_LANGUAGE_IDENTIFICATIONThis tool identifies the natural language of a given text. It takes a string of text as input and returns the detected language along with a confidence score. Optional parameters include specifying a genre (e.g., "social-media"), providing a list of language codes to constrain the identification, and indicating whether to include user-defined languages.
Input parameters
The text to be analyzed.
A URI pointing to the content to be analyzed. Mutually exclusive with content.
If set to true, the endpoint detects regions in multilingual documents and returns a list of language regions in addition to whole-document results. Default is false.
If set to true, enables classification for North Korean (qkp) and South Korean (qkr) dialects. Default is false.
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
ROSETTE_TEXT_ANALYTICS_NAME_SIMILARITYThe 'Name Similarity' tool compares two entity names (Person, Location, or Organization) and returns a similarity score between 0 and 1 to indicate if the names are similar. It is useful for tasks such as record linkage, identity resolution, and data deduplication.
Input parameters
The first name object to be compared.
The second name object to be compared.
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 51 agents privately built on Nagent that already use Rosette Text Analytics.
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Connect Rosette Text Analytics 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 Rosette Text Analytics, and click "Connect Now." You'll authenticate with an API key — Nagent handles credential storage and refresh automatically. Once connected, Rosette Text Analytics is available to any agent in your workspace.
No. Nagent provides no-code integration for every tool. Once Rosette Text Analytics is connected, you configure its 3 actions directly in the agent builder UI — no API calls, no boilerplate, no schema management.
Helix — Nagent's agentic agent builder — lets you drop Rosette Text Analytics 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 Rosette Text Analytics event fires, the agent kicks off automatically.
Every Rosette Text Analytics 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 Rosette Text Analytics ships with 3 pre-built artificial intelligence actions, you can layer custom logic around them inside Helix — pre/post-processing steps, conditional branches, retries, or stitching Rosette Text Analytics together with other connected tools. For deeper customization, talk to our team about Nagent's Agentic AI Lab — forward-deployed engineers who build Rosette Text Analytics-based workflows tailored to your business.