Data monetization · Strategy + implementation

Your data.Paid AI access.

Turn your company’s data into a paid product that your customers’ AI agents can use.

I help you find the commercial use case, connect your data, build the MCP, and launch a pilot with a real customer.

Working directly with meGerman / English
Project briefPaid MCP
Source
Your database, API, reports, or website
Access
Your permissions, limits, and pricing
Outcome
A data product customers can pay to use

Illustrative use case

“How did our products sell last week?” A supplier’s agent queries the data they have paid to access.

What is a paid MCP?

A connection that lets AI agents use your data through tools you define. Customers purchase access; their agents use it within the permissions and limits you set.

The opportunity

You have the information.
Let’s find the product.

The best starting point is a question your customers already spend time or money answering.

Retailers & distributors

A service suppliers can use.

Give suppliers access to approved sales, stock, or category insights inside their own AI workflows.

Potential buyer: Suppliers & brands

Publishers & research firms

Expertise in the next decision.

Make your research and benchmarks searchable by customers’ agents, under a paid licence.

Potential buyer: Analysts & strategy teams

Directories & data businesses

The data customers come to you for.

Offer filtered access to your maintained database, with clear pricing and customer-specific permissions.

Potential buyer: Existing subscribers

Illustrative opportunities. We validate the buyer and use case together.

How we work together

One use case.
A working pilot.
A reason to pay.

I work with your commercial and technical teams, from the first buyer conversation to a product that is ready to test.

We agree the scope and fee before implementation.

  1. 01

    Find the buyer

    Identify the data, the buyer, and the question worth paying to answer. Agree what can be shared and how to package it.

    You get: A focused offer and pilot scope

  2. 02

    Build the product

    Connect your source data. Build the MCP tools, customer authentication, access rules, usage tracking, and billing flow.

    You get: A working data product

  3. 03

    Launch the pilot

    Onboard a real customer. Measure useful queries, reliability, and willingness to pay before expanding the offer.

    You get: Evidence for the next investment

A practical starting point

Small enough to test.
Useful enough to buy.

Start with one source of data, a small set of queries, and a defined customer.

Do we need an API already?

No. We can assess a database, a structured export, an existing API, or content you control. The source determines the work involved.

What stays under our control?

You decide which data is available, who can use it, and what they pay. The pilot is built around those rules.

What if nobody wants to pay?

That is why we start with the buyer. The first phase tests the commercial case before you commit to building the full product.

Start with a conversation

What is your data worth to someone else?

Send me your website and a few lines about your data. We’ll look at a possible buyer, a useful query, and what a first pilot would involve.

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