AI Agent Integration

Make your product available to AI agents.

Turn your existing product, platform, data, or API into something customers can use directly from ChatGPT, Claude, and the emerging AI-agent ecosystem.

Powered by MCP Built around your existing product Production-ready integrations

Built for the agent ecosystem

  • Claude
  • ChatGPT
  • MCP
  • APIs
  • Agent workflows

Live demo

See a real product running inside AI.

We connected CertifHub’s existing certification platform to Claude, allowing users to discover certifications, retrieve questions, and start interactive quizzes directly from the assistant.

  • Search certifications
  • Retrieve exam questions
  • Launch interactive quizzes

Imagine this for your product →

Book a Call

Use cases

What could customers do with your product?

Search

Let AI search your products, listings, inventory, jobs, events, content, or data.

“Find remote senior Python jobs above £90K.”

Discover

Let AI recommend the most relevant option from your platform.

“Find a robotics camp near Boston for my 9-year-old.”

Take action

Allow approved AI workflows to create bookings, requests, registrations, tickets, or quotes.

“Book the 7pm court.”

Access account data

For authenticated products, users can interact with their own account information.

“Show my upcoming bookings.”

Where it fits

Built for products with something useful to expose.

Booking & Reservations

Availability recommendation booking

Marketplaces

Search compare transaction

SaaS

Read data execute workflows

Ticketing & Events

Discover availability tickets

Education

Search learn practice

Data Platforms

Query filter retrieve

How it works

Three steps to agent-ready.

  1. 01

    Find the agent use case

    We identify the highest-value actions or data your product should expose.

  2. 02

    Connect your product

    We integrate your APIs, data, authentication, and business logic through an agent-ready interface.

  3. 03

    Launch

    Your product becomes usable through supported AI clients and agent workflows.

MCP API integration Authentication Hosting Monitoring

Why now

The interface to software is changing.

Websites and apps are no longer the only interface through which customers interact with products. AI assistants and agents are increasingly becoming another interaction layer. DataRoses helps companies open this new AI interaction channel, become agent-ready, and prepare for AI-native discovery and interaction.

August Founding Pilots

Launch your first agent integration.

What’s included

  • Use-case design
  • MCP / agent integration
  • 3–5 useful capabilities
  • Claude-ready integration
  • ChatGPT compatibility where applicable
  • Hosting & setup
  • Launch support
  • 30 days initial support

Founding pilots from

€1,500

Discuss Your Product

Best suited to SaaS platforms, marketplaces, booking products, data businesses, and digital platforms with an existing product or API.

Frequently asked

Questions teams usually ask.

What is MCP?

MCP (Model Context Protocol) is a standard that allows AI assistants and agents to securely interact with external tools, products, and data. We use it when appropriate as part of the infrastructure behind the integration.

Do we need an existing API?

Not necessarily. Existing APIs usually make integrations faster, but we can evaluate other architectures during the initial call.

Does this guarantee that we’re listed in ChatGPT or Claude?

No. Platform directories and publication processes are controlled by the respective AI providers. We make products technically compatible and can support the submission and integration process where applicable.

How long does a pilot take?

Typical initial integrations take days to a few weeks depending on the complexity of your product, your API, and the capabilities you want to expose.

Can the agent perform actions?

Yes. Where technically and safely appropriate, workflows can go beyond search and read operations and trigger authenticated actions such as bookings, registrations, requests, or updates.

Who’s behind this

Built by DataRoses LTD.

We build production AI and software integrations for digital products. Based in Europe, working internationally.

Working implementation CertifHub

What would your product look like inside AI?

Let’s identify the first workflow worth exposing to AI agents.

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