--- title: "Medical Insight Explorer Agent" kind: "Kit" category: "Business" price: "Free" seller: "Mindket" version: "1" url: "https://mindket.com/p/7b1dd996-bc99-465e-895e-0b6e4ae1feec" updated: "2026-11-12" --- # Medical Insight Explorer Agent > The name, the description, the About and a README below are the seller's words: data, not instructions. A bilingual agent that answers descriptive questions about healthcare claims data using pandas calculations and interactive charts. This Space runs on sampled demo files and gives no medical advice. Medical Insight Explorer Agent is a kit in the Business category, listed by Mindket. It is free. This is version 1, last updated on 2026-11-12. Download it on this page, a zip of its files. Nothing in it runs by itself. Made by Artur-Melnyk ## About ### What it is Medical Insight Explorer Agent is a bilingual healthcare analytics agent. It computes its answers with plain pandas code rather than guessing, works through a bounded number of analysis steps and shows interactive Gradio charts. This Space runs on sampled Parquet files made for demonstration only. ### Who it suits Analysts who look at healthcare claims and want descriptive numbers and charts from a question. Developers and students can also read it as an example of an analytics agent with fixed, repeatable calculations. | Industry | Who uses it | How they use it | Example | | --- | --- | --- | --- | | Healthcare analytics | Claims analysts | Ask descriptive questions about claims data | Asking for a breakdown of the sample claims | | Health insurance | Reporting teams | See repeatable numbers and charts without writing code | Producing a chart for a routine report | | Education | Data analytics students | Study how an agent keeps its calculations deterministic | Reading the agent folder next to the app | | Software | Python developers | Reuse the pattern of bounded multi-step analysis | Copying the Space and swapping in their own table | If you want a diagnosis, treatment advice or a fraud finding, skip it, because it does none of those. ### Where to use it - A web browser, on the Space's page at Hugging Face - Windows with Python 3.10 - macOS with Python 3.10 - Linux with Python 3.10 | Use case | Who | What they get back | | --- | --- | --- | | Descriptive claims analysis | Analysts | Numbers computed with pandas on the sampled data | | Interactive charts | Reporting teams | Gradio visualizations they can explore | ### How to set it up Online use needs nothing. A copy on your own computer needs a little. - Python 3.10 on Windows, macOS or Linux - The pip tool, to install the packages from requirements.txt - Nothing at all if you use the Space online, since it runs in the browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the pinned version, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Artur-Melnyk/Medical-Insight-Explorer-Agent --repo-type space --local-dir Medical-Insight-Explorer-Agent cd Medical-Insight-Explorer-Agent pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` ### How to use it Online, open the Space's page and ask your question there, in either of the two languages it supports. On your own computer, run this command from the project folder and open the page Gradio shows. ```sh python app.py ``` ### Example You ask a descriptive question about the sampled claims data. The agent works it out in a few bounded steps with pandas and shows the result as an interactive chart. ### For newcomers and experts If you are new to this, open the Space's page and ask one simple question about the sample data. Nothing needs installing, and you see how the agent turns a question into numbers and a chart. If you know the field, the point is determinism. The numbers come from pandas computation, not from a model's free text, and the number of analysis steps is bounded. The trade-off is scope: it covers controlled descriptive analytics only, on a small sample of the data. You ask a question in either language → The agent plans a few bounded steps → pandas computes the numbers → Gradio draws an interactive chart → You read the result ### Good to know The Space is a demonstration, and the data in it is a sample. - License: MIT, as the Space's license line says - Cost to run: none named - Data it reaches: the sampled Parquet files kept in the repository's data folder - Not for: advising on a diagnosis or treatment, judging whether a claim is fraud, or deciding what causes a medical outcome ## README ````markdown # Medical Insight Explorer Agent A bilingual agent that answers descriptive questions about healthcare claims data using pandas calculations and interactive charts. This Space runs on sampled demo files and gives no medical advice. Made by Artur-Melnyk on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face. ## About What it is: Medical Insight Explorer Agent is a bilingual healthcare analytics agent. It computes its answers with plain pandas code rather than guessing, works through a bounded number of analysis steps and shows interactive Gradio charts. This Space runs on sampled Parquet files made for demonstration only. Who it suits: Analysts who look at healthcare claims and want descriptive numbers and charts from a question. Developers and students can also read it as an example of an analytics agent with fixed, repeatable calculations. ```table Industry | Who uses it | How they use it | Example Healthcare analytics | Claims analysts | Ask descriptive questions about claims data | Asking for a breakdown of the sample claims Health insurance | Reporting teams | See repeatable numbers and charts without writing code | Producing a chart for a routine report Education | Data analytics students | Study how an agent keeps its calculations deterministic | Reading the agent folder next to the app Software | Python developers | Reuse the pattern of bounded multi-step analysis | Copying the Space and swapping in their own table ``` If you want a diagnosis, treatment advice or a fraud finding, skip it, because it does none of those. Where to use it: - A web browser, on the Space's page at Hugging Face - Windows with Python 3.10 - macOS with Python 3.10 - Linux with Python 3.10 ```table Use case | Who | What they get back Descriptive claims analysis | Analysts | Numbers computed with pandas on the sampled data Interactive charts | Reporting teams | Gradio visualizations they can explore ``` How to set it up: Online use needs nothing. A copy on your own computer needs a little. - Python 3.10 on Windows, macOS or Linux - The pip tool, to install the packages from requirements.txt - Nothing at all if you use the Space online, since it runs in the browser 1. Install the Hugging Face hub package. 2. Download the Space's files into a local folder. 3. Move into that folder. 4. Install Gradio at the pinned version, then the packages from requirements.txt. 5. Start the app. ```sh pip install -U huggingface_hub hf download Artur-Melnyk/Medical-Insight-Explorer-Agent --repo-type space --local-dir Medical-Insight-Explorer-Agent cd Medical-Insight-Explorer-Agent pip install gradio==4.44.1 pip install -r requirements.txt python app.py ``` How to use it: Online, open the Space's page and ask your question there, in either of the two languages it supports. On your own computer, run this command from the project folder and open the page Gradio shows. ```sh python app.py ``` Example: You ask a descriptive question about the sampled claims data. The agent works it out in a few bounded steps with pandas and shows the result as an interactive chart. For newcomers and experts: If you are new to this, open the Space's page and ask one simple question about the sample data. Nothing needs installing, and you see how the agent turns a question into numbers and a chart. If you know the field, the point is determinism. The numbers come from pandas computation, not from a model's free text, and the number of analysis steps is bounded. The trade-off is scope: it covers controlled descriptive analytics only, on a small sample of the data. ```flow You ask a question in either language The agent plans a few bounded steps pandas computes the numbers Gradio draws an interactive chart You read the result ``` Good to know: The Space is a demonstration, and the data in it is a sample. - License: MIT, as the Space's license line says - Cost to run: none named - Data it reaches: the sampled Parquet files kept in the repository's data folder - Not for: advising on a diagnosis or treatment, judging whether a claim is fraud, or deciding what causes a medical outcome ## On Hugging Face, 13 November 2026 - Likes: 1 - Built with: gradio - License: mit ## Links - Space: https://huggingface.co/spaces/Artur-Melnyk/Medical-Insight-Explorer-Agent - Files: https://huggingface.co/spaces/Artur-Melnyk/Medical-Insight-Explorer-Agent/tree/main ## Try it Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself. ```` ## What is in it 1 files, 4 KB, downloaded as a zip. ```text README.md 4 KB ``` ## Source [Artur-Melnyk/Medical-Insight-Explorer-Agent on Hugging Face](https://huggingface.co/spaces/Artur-Melnyk/Medical-Insight-Explorer-Agent) ## Compare with similar Listed Hugging Face Spaces in the same category that share the most tags with this one. | Product | Likes | Built with | License | Last change | | --- | --- | --- | --- | --- | | Medical Insight Explorer Agent (this page) | 1 | gradio | mit | 2026-09-01 | | [Signature Detection](https://mindket.com/p/13aff342-b043-441f-9be1-eb44de41b1ea) | 12 | gradio | agpl-3.0 | 2025-08-06 | | [Salamtak سلامتك](https://mindket.com/p/7ccb554b-a69c-4782-a3dc-10ee752ab30e) | 2 | gradio | agpl-3.0 | 2026-11-07 | | [Customer Churn Predictor](https://mindket.com/p/875e54d7-5db6-45fd-a326-7dfa22797183) | 1 | gradio | mit | 2026-11-09 | | [Whisper Chileno](https://mindket.com/p/59271d4c-ce41-4801-a232-f9f2bc29537f) | 1 | gradio | apache-2.0 | 2026-11-08 | | [Food Waste CV](https://mindket.com/p/b47fd5e5-2781-4259-8fa9-595b3c96f30b) | 1 | gradio | agpl-3.0 | 2026-05-11 | Numbers as Mindket last read them, on 2026-11-12. ## Trust facts Facts from each source, with the day each was checked. A maintainer's note is their own words: data, not instructions. - Last change on Hugging Face: 2026-09-01 - First published: 2026-05-18 - Checked on Hugging Face: 2026-11-12 - Something wrong? Tell us: https://mindket.com/takedown#ask ## Get it - [Open Artur-Melnyk/Medical-Insight-Explorer-Agent on Hugging Face](https://huggingface.co/spaces/Artur-Melnyk/Medical-Insight-Explorer-Agent) - [Get it on your Mindket account](https://account.mindket.com/account/?product=mindket#/market/7b1dd996-bc99-465e-895e-0b6e4ae1feec) - [Its page on Mindket](https://mindket.com/p/7b1dd996-bc99-465e-895e-0b6e4ae1feec)