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Vinkius

Deep Talk Connector for AI agents.

5 live capabilities

Analyze customer support conversations and sentiment trends automatically.

Live agent request Deep Talk / Connector

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AI Agent

Why people use Deep Talk

Deep Talk Customer Sentiment Analysis for CX Teams

Deep Talk changes that by letting your agent do the digging for you. You can ask it to scan your entire database and tell you exactly what the biggest pain points are. You get a clear summary of sentiment and a list of key topics in seconds, letting you focus on fixing problems instead of finding them.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get structured insights from messy conversation logs without manual tagging.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Spotting a sudden spike in complaints

    A CX manager notices a spike in 'Login Issues.

  2. Real-world use case 02

    Prioritizing the product roadmap

    A product team wants to know about mobile app requests.

  3. Real-world use case 03

    Reporting on monthly sentiment trends

    A data analyst needs to report on monthly trends.

Complete set · 5capabilities

The complete Deep Talk capability set.

These are the exact actions your AI can choose when you ask it to work with Deep Talk.

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 5 available through Deep Talk.

  1. 01 Capability

    List batch predictions

    Check the status of all your current batch prediction jobs. Use this to see which analyses are finished and ready for review.

  2. 02 Capability

    List pipelines

    See a list of all NLP analysis pipelines in your account. This lets you browse the different ways you can process your conversation data.

  3. 03 Capability

    Get pipeline details

    See the specific configuration for any of your NLP pipelines. This helps you understand how your data is being processed.

Capability set02 / 02

04—05

2 capabilities in this set.

Part of 5 available through Deep Talk.

  1. 04 Capability

    Create batch prediction

    Start a new batch prediction job on a specific dataset. You just need to point the agent to the right data and pipeline to begin the analysis.

  2. 05 Capability

    Get batch prediction

    Get the specific results and status of a batch prediction. This is how you pull the actual data after a job finishes.

Set up in minutes

One URL. Then ask Deep Talk to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Deep Talk from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_p1r9lyvKUygLDYkDHtS0iQrZChD9ZM45aBPc7pHA/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Deep Talk, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Deep Talk for the conversation.

Where the request belongs

Work Deep Talk can move forward.

Built around the request

This is for CX leads and data analysts who are drowning in support tickets and need to find the signal in the noise. It's for anyone who needs to know why customers are churning without reading every single chat.

01

CX Manager

Uses it on Tuesday mornings to spot trending complaints before they blow up on social media.

02

Data Analyst

Pulls sentiment trends and conversation clusters to build reports for the quarterly review.

03

Product Manager

Identifies the most requested features by asking the agent to summarize feedback from support channels.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
MeaningCloud logo
01 6 capabilities

MeaningCloud

Advanced text analytics for sentiment analysis, topic extraction, language detection, and automatic summarization.

View Connector
MonkeyLearn logo
02 12 capabilities

MonkeyLearn

Analyze text data with custom machine learning models that classify sentiment, extract keywords, and tag topics automatically.

View Connector
DeepOpinion (No-code NLP & Text AI API) logo
03 3 capabilities

DeepOpinion (No-code NLP & Text AI API)

Automate NLP and text analysis with DeepOpinion. list custom models, run single predictions, and process text batches directly from your AI agent.

View Connector
Symbl.ai logo
04 9 capabilities

Symbl.ai

Extract conversation intelligence from audio, video, and text. get summaries, action items, and topics directly from any AI agent.

View Connector
NLP Cloud logo
05 6 capabilities

NLP Cloud

High-performance NLP API for text summarization, entity extraction, classification, sentiment analysis, ASR, and translation.

View Connector
TextRazor logo
06 11 capabilities

TextRazor

Advanced Natural Language Processing (NLP) to extract entities, topics, and relations from text or URLs.

View Connector

Bring your own AI

Change the model, client or framework. Keep Deep Talk connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Deep Talk.

The practical details behind the request, access and result.

Can Deep Talk help me understand why my customers are leaving?

Yes. It analyzes your conversation data to identify common themes and sentiment, helping you spot the specific reasons for churn before it happens.

Does Deep Talk work with Zendesk or Intercom?

It is designed to process conversation data from major support platforms like Zendesk and Intercom, turning those logs into actionable insights.

How does Deep Talk find topics in my data?

It uses NLP models to automatically identify and cluster similar conversations, so you do not have to manually tag every single interaction.

Can I see the overall mood of my customers?

Yes, you can get a high-level sentiment summary across your entire database to see if recent changes are having a positive or negative impact.

Is Deep Talk good for product teams?

It is great for product teams who need to see what features people are asking for most and what the common pain points are in support channels.

How do I get started with Deep Talk?

You just need your Deep Talk API key. Once connected to your AI client, you can start asking questions about your conversation datasets immediately.

How do I get a Deep Talk API Key?

Log in to your Deep Talk account, navigate to the API section in your settings, and you can generate or retrieve your unique API Key from there.

Can the agent process real-time conversations?

This integration currently focuses on analyzing datasets that have already been uploaded and processed within Deep Talk. Real-time streaming analysis is managed via the Deep Talk dashboard or webhook integrations.

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.

One connection away

Give your agent a direct line to Deep Talk.

Connect Deep Talk once. Keep it beside 5,900+ managed Connectors when the next task needs more.

Explore every Connector No credit card required · Free tier available