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Vinkius

Arize AI Connector for AI agents.

6 live capabilities

Monitor machine learning model performance and data drift.

Live agent request Arize AI / Connector

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AI Agent

Why people use Arize AI

Arize AI ML Observability for Faster Troubleshooting

This Connector lets you skip the dashboard entirely. You can just ask your agent to list spans for a specific project and see the telemetry results immediately. You get the data you need in seconds, letting you stay in your flow and fix issues faster.

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

What Vinkius changes

You get a way to query your ML observability data using natural language instead of a dashboard.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Identifying a production bottleneck

    An engineer asks the agent to list spans for a project and identifies a specific execution with a schema mismatch.

  2. Real-world use case 02

    Organizing evaluation data

    A data scientist wants to create a new dataset for Q2 data and uses the agent to create it instantly.

  3. Real-world use case 03

    Checking model metadata

    A developer needs to know the metadata for a specific model to see if it's ready for deployment.

Complete set · 6capabilities

The complete Arize AI capability set.

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

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 6 available through Arize AI.

  1. 01 Capability

    Create dataset

    Create a new dataset for model evaluation or validation. This lets you organize your data for testing without manual portal entries.

  2. 02 Capability

    Get model

    Get specific details about an ML model. Use this to quickly check metadata and coordinate your AI strategy.

  3. 03 Capability

    List datasets

    List all existing datasets in your account. This helps you keep track of your evaluation data at a glance.

Capability set02 / 02

04—06

3 capabilities in this set.

Part of 6 available through Arize AI.

  1. 04 Capability

    List experiments

    List all ML experiments. This is useful for comparing results across different environments and runs.

  2. 05 Capability

    List projects

    List all active tracing projects. Use this to see which projects are currently being monitored.

  3. 06 Capability

    List spans

    List execution spans for a project. This provides high-fidelity telemetry data to find specific performance bottlenecks.

Set up in minutes

One URL. Then ask Arize AI to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Arize AI 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_wCwq9adpwddtNPc4Bp17r5LJCv19cGsWZBiDUv4U/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 Arize AI, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Arize AI for the conversation.

Where the request belongs

Work Arize AI can move forward.

Built around the request

This is for the ML engineer who's tired of clicking through dashboards at 2am to find a single failing trace, or the data scientist who wants to manage evaluation datasets without context switching.

01

ML Engineer

Pulls span details and analyzes model traces to troubleshoot production issues on the fly.

02

Data Scientist

Monitors experiment results and manages validation datasets while staying in their primary workspace.

03

AI Developer

Automates the oversight of LLM health and model performance using simple queries.

Build the capability set

Add more capabilities.

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

Browse Connectors
Arize AI logo
01 6 capabilities

Arize AI

Monitor ML model performance, detect data drift, and troubleshoot prediction quality with real-time observability dashboards.

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DataRobot logo
02 6 capabilities

DataRobot

Manage AutoML via DataRobot. monitor projects and models, track deployments, and audit ML datasets directly from any AI agent.

View Connector
H2O.ai logo
03 6 capabilities

H2O.ai

Manage AI models via H2O.ai. track data frames, monitor machine learning models and training jobs, and audit cloud cluster status directly from any AI agent.

View Connector
Abacus AI (Enterprise AI Cloud) logo
04 8 capabilities

Abacus AI (Enterprise AI Cloud)

Manage the full machine learning lifecycle via Abacus AI. create projects, train models, and deploy real-time prediction endpoints.

View Connector
Comet ML logo
05 6 capabilities

Comet ML

Manage machine learning experiments via Comet. track model metrics, audit project workspaces, and inspect ML run parameters directly from any AI agent.

View Connector
Modelbit (ML Model Deployments) logo
06 1 capability

Modelbit (ML Model Deployments)

Deploy and call machine learning models directly from your AI agent using Modelbit's inference endpoints.

View Connector

Bring your own AI

Change the model, client or framework. Keep Arize AI connected.

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Before you connect

Questions about Arize AI.

The practical details behind the request, access and result.

Can Arize AI help me find data drift?

Yes, it allows your AI agent to query your model performance and identify drift points without you having to manually filter through complex dashboards.

How do I check my model performance with Arize AI?

You can ask your agent to retrieve specific model metadata or list recent execution spans to see how your models are performing in real time.

Can I manage my ML datasets using Arize AI?

Yes, you can use your AI agent to create and list datasets for your evaluation and validation workflows through simple natural language commands.

What kind of telemetry does Arize AI provide?

It provides high-fidelity execution spans and telemetry data, which helps you see exactly how your models are behaving in production.

Can Arize AI help me troubleshoot production errors?

Absolutely. Your agent can pull specific span details for any project, making it much faster to pinpoint and fix production bottlenecks.

Is Arize AI good for tracking ML experiments?

Yes, it lets you list and monitor all your active experiments, making it easy to compare results across different environments.

How do I find my Arize API Key?

Log in to your account, navigate to Settings > API, and generate or copy your unique secret key.

Can I track model drift via AI?

Yes! Use the list_experiments capability to retrieve data on active model evaluations and track performance variations programmatically.

How do I retrieve telemetry traces?

Use the list_spans capability to retrieve high-fidelity execution spans and traces for your ML projects directly from the platform.

One connection away

Give your agent a direct line to Arize AI.

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

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