Compatible with every major AI agent and IDE
Get account details on Deep Talk
Returns account-level metadata such as subscription tier, remaining processing credits, and user roles. Retrieve metadata and usage limits for your Deep Talk account
Get dataset metadata on Deep Talk
Resolves creation dates, source integrations, and whether NLP clustering has completed. Get metadata and processing status for a specific dataset
Get sentiment analytics on Deep Talk
Returns a distribution of positive, neutral, and negative sentiment scores across the dataset records. Retrieve a summary of sentiment across the entire dataset
List analysis datasets on Deep Talk
Returns dataset metadata including names, record counts, and current processing status for NLP analysis. List all conversation datasets uploaded for analysis
List available nlp models on Deep Talk
g., sentiment, intent, clusterers) that can be applied to datasets for analysis. List NLP models available for conversation categorization
List connected sources on Deep Talk
Returns a list of connected external platforms, their synchronization status, and the volume of data ingested from each. List external data sources (e.g. Zendesk, Intercom) connected to Deep Talk
List conversation clusters on Deep Talk
Returns groups of semantically similar conversations identified through unsupervised learning, including cluster sizes and representative keywords. List clusters of similar conversations identified in a dataset
List extracted topics on Deep Talk
Returns a list of identified themes with their respective prevalence and importance scores within the specified dataset. List key topics and themes extracted from the conversation data
List processing tasks on Deep Talk
Returns a list of active processing jobs, including ingestion and NLP analysis tasks, and their current completion percentages. List current data processing and analysis tasks
Search topics by keyword on Deep Talk
Identifies and returns themes that match the provided search term. Search for specific topics or themes within a dataset
How Vinkius protects your data
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
How does the AI access my passwords and credentials?
It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
What languages are supported for analysis?
Deep Talk supports multiple languages for NLP analysis, including English, Spanish, Portuguese, and French. The agent retrieves results based on the analysis performed in your account.
Deep Talk Capabilities for AI Assistants
Add the Deep Talk tool to your AI Agents. The toolkit allows Claude and ChatGPT to securely fetch and update targeted data.
Next-Gen sentiment analysis Operations
The Deep Talk MCP translates LLM intent into specific sentiment analysis actions. Agents like Cursor use this to interface securely with your customer support infrastructure.
Cursor Copilot for conversation mining
The Deep Talk toolkit provides structured tools for conversation mining. It enables conversational interfaces like Claude Code to query and modify data within your customer support infrastructure.
Deep Talk. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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