ds@mcpanalytics.aiEmail your data and your question and get an answer about your own data, with the method shown.Email your data and question. Get an answer.

Build the Exact Analysis
You Need

Describe what you want to know in plain English. If no analysis in our library fits, we build one for your data, from tested statistical methods, and you can re-run it on new data.

You do not write code. You review a preview of the report and confirm the question before anything is built.

From Idea to Analysis in Three Steps

Describe what you need. You confirm it before it is built.

1
Describe Your Analysis
Tell the AI what you want to understand about your data. Use plain English. "I want to forecast next quarter's revenue" or "segment my customers by purchase behavior." You get a rough preview over a sample of your data and the layout of the report, and you confirm or correct it.
2
We Build Your Analysis
The system picks a statistical method that fits your question and your data, writes the code, and designs the charts and write-up.
3
Get Your Report, Then Re-Run It
The finished analysis stays in your account. Upload a new file or use a connected source, run it again, and get a report with charts, tables and a written explanation.

What You Get

A report you can read, check and re-run.

Interactive Reports

Reports open in your browser with charts and tables. Each one names the method and shows the code that ran, so someone technical can check it.

Plain-Language Write-Up

Every report includes a written explanation of the results. Read it alongside the numbers, since a write-up can miss context only you have.

Reusable

Your analysis stays in your account. Run it on new data whenever you want by uploading a fresh CSV or using a connected source, with no rebuild.

You Describe It. We Build It.

Describe your question in your own words. The system chooses the statistical method and shows you a preview first.

Traditional Approach

  • Hire an analyst or consultant
  • Write detailed technical requirements
  • Wait for delivery
  • Fix the code when the data format changes
  • Start over for each new question

With Custom Analysis

  • Describe your goal in plain English
  • Review a preview before it is built
  • Analysis built from tested methods
  • Reuse on new data anytime

What You Can Build

Examples of questions on tabular data. Not every question fits; we tell you when one does not.

Forecasting

Revenue projections, demand planning, inventory forecasts, seasonal trend analysis, growth modeling

Customer Analytics

Segmentation, lifetime value, churn prediction, cohort analysis, RFM scoring, retention curves

Regression & Modeling

Price elasticity, factor analysis, causal inference, A/B test analysis, propensity scoring

Classification

Lead scoring, fraud detection, risk assessment, category prediction, anomaly detection

Time Series

Trend decomposition, changepoint detection, volatility modeling, cross-correlation, seasonal adjustment

Operations

Supply chain analysis, workforce scheduling, break-even modeling, scenario planning, margin optimization

How Custom Builds Are Billed

You see what a build will do before you order it. Current plans and terms are on the pricing page.

See pricing →

What a Request Looks Like

Illustrative only. This shows the shape of a request, not a real customer's results.

You write: “Which of my customers are likely to stop ordering, and what do they have in common?” and upload a CSV of orders with customer, date and amount columns.

You get back first: a rough preview over a sample of the file, the layout of the report, and the method proposed. You confirm the question or change it.

Then: the full report, with the method and code named, which you can re-run on next month's orders.

To see finished reports, browse the sample reports. They were run on public datasets.

Frequently Asked Questions

What kind of custom analysis can I build?

Analyses on tabular data, such as forecasting, customer segmentation, regression, classification, anomaly detection, time series and A/B test analysis. If your question needs data you have not supplied, or a method that does not fit your data, we tell you before building.

How does building a custom analysis work?

Describe what you want to analyze in plain English. The system asks clarifying questions about your data and goals, then shows a rough preview and the report layout for you to confirm before anything is built. You do not need to write code.

What do I get as output?

You get an interactive HTML report with charts, tables, statistical results, and a written explanation of what the numbers mean. Each report names its method and the code that ran.

Do I need to know statistics or programming?

No. You describe your goal in plain English, and the system proposes the method, writes the code and designs the report. You review the preview before anything is built.

How many custom analyses can I build?

How custom builds are included and billed depends on your plan. See the pricing page for current terms; we show you what a build will do before you order it.

Can I reuse my custom analysis on new data?

Yes. Once built, your custom module is a tool in your account you can re-run on new data. Upload new data or connect a live source, and run the same analysis again anytime.

Build Your First Custom Analysis

Describe the analysis you need. We build it. Run it on your data. 30 days of full access, no card required.

Where to start

One email with your data and your question. We take it from there.

MCP Analytics

Data science by email

Send us your data and your question, and we will reply.

ds@mcpanalytics.aimcpanalytics.ai

Try it on your own data

30 days free.

Answers, analytics and custom analytics. No card, no call, nothing to install.

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