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MCP for market research and strategy teams

Turn a strategic question into an evidence-backed briefing.

DataGardener MCP lets a research or strategy team's AI agent size a UK market from company and financial filings, break it down by region, turnover band and ownership group, identify fast growers and recent entrants, and return the result with sources, periods and methodology.

Trust proof for market research buyers

  • Bibby Marine
  • Unilever
  • GSK
  • WSP
  • Serco
  • Sue Ryder
  • MSDUK
  • Aston University
  • Bournemouth University
  • Cardiff University

Logos indicate organisations using the DataGardener platform, as shown on datagardener.com. They do not indicate use of DataGardener MCP.

The problem

Where the research goes today.

  • Market sizing relies on secondary estimates

    Filed accounts and SIC classifications allow a bottom-up view, but assembling it manually takes days.

  • Group structures distort the picture

    Counting subsidiaries as independent companies overstates fragmentation.

  • Research is hard to reproduce

    A briefing built from exports cannot easily be rerun next quarter.

Example questions

Ask it the way you would ask an analyst.

  • “Size the UK care-home market and break companies down by region and turnover.”
  • “Which operators grew fastest over the last three filings?”
  • “How concentrated is this market by ultimate parent?”
  • “Which companies entered this SIC code in the last two years?”
  • “Which of these firms export, and where?”

Example MCP workflow

How the investigation runs.

  1. 1. Ask

    A researcher frames the market by SIC codes, keywords and geography.

  2. 2. Aggregate

    Counts by region and turnover band come from aggregation queries.

  3. 3. Consolidate

    Group-structure tools collapse subsidiaries to ultimate parents.

  4. 4. Brief

    The agent returns a reproducible briefing with sources and periods.

Choose a question

Question

Size the UK care-home market and break companies down by region and turnover.

Stage 1 of 5

Understanding the request

The agent breaks the question into the conditions it must satisfy.

  • Sector: residential care
  • Market sizing
  • Region breakdown
  • Turnover bands

Each condition maps to one or more DataGardener intelligence layers. Nothing is guessed: if a condition cannot be evidenced, the agent says so.

  • Company Intelligence
  • Financial Intelligence
  • Local and Regional Economy
  • Ownership
Read this investigation as text

Question: Size the UK care-home market and break companies down by region and turnover.

Intent: Sector: residential care; Market sizing; Region breakdown; Turnover bands.

Tools selected: execute_query, execute_ukgaap_query, search_group_structure.

Modules queried: Company index (Residential care SIC codes, live, aggregate by region: 15,000+ companies); UK GAAP financials (Latest turnover by band, by region: Turnover matrix); Group structure (Collapse subsidiaries to ultimate parents: Operator view).

Evidence connected: SIC-based population counts; Turnover bands from filed accounts; Group consolidation.

Answer: The agent returns a region-by-turnover matrix for UK residential care operators, then collapses subsidiaries to ultimate parents to show how concentrated the market is among the largest groups.

Provenance: Source Companies House; filed accounts; DataGardener group structure; date Latest filings; module Company, Financial, Economy, Ownership; usage Aggregation; records only when drilled into.

Suggested next questions: Which operators grew fastest? / Which have charges with specialist lenders? / Export the matrix

Every answer arrives with its provenance

SourceNamed register or filingDateDate of the underlying documentModuleCompany, Financial, OwnershipCRNRegistration numberUsageReported per call

Time-saving logic

Analyst days per briefing

If a market briefing takes analyst days of exporting and reconciling, an agent that queries aggregations and cites filings can produce the first draft in a sitting and rerun it on demand.

Assumptions (edit any of them)

Analysts, relationship managers, procurement officers or researchers.

Supplier checks, borrower briefs, market lookups, due-diligence reports.

min

Time across databases, exports, spreadsheets and cross-checking.

£

Salary plus on-costs, per hour.

%

Your estimate. The agent does the gathering and cross-referencing; people keep the judgement.

Estimated outcome

Monthly research hours today
162
Hours potentially recovered per month
97
Annual capacity recovered
1,169 h
about 0.7 full-time equivalents
Estimated productivity value per year
£52,609

This is an estimate computed only from the assumptions you enter, using 4.33 weeks per month and 1,650 working hours per full-time equivalent. It does not include DataGardener MCP costs and is not a guarantee of savings. Validate the acceleration share with a pilot before relying on it.

Relevant proof

Evidence and illustrative workflows.

All case studies
Existing DataGardener case study

From stalled prospecting to 45% more new clients

London B2B marketing and PR agency (unnamed) · Professional services

A London agency integrated DataGardener with its CRM and cut prospecting time by around half.

new client acquisition
+45%
reduction in prospecting time
~50%
“Integrating DataGardener has completely transformed the way we manage data. Our CRM is now accurate, dynamic and aligned with our go-to-market strategy.”
Head of Operations, B2B Marketing Agency
Outcome of the DataGardener platform, not of DataGardener MCP. Source
Existing DataGardener case study

Helping a marketing agency triple their leads

Marketing agency (unnamed) · Professional services

A marketing agency working with DataGardener for three years reports tripled lead generation and 25+ hours saved per month.

overall lead generation
3x
hours saved per month
25+
“Thanks to their software and data, our lead generation has tripled.”
Sales Director, Marketing Agency
Outcome of the DataGardener platform, not of DataGardener MCP. Source

Market research: frequently asked questions

Does DataGardener include turnover for small companies?

Small companies may file abridged accounts without turnover. DataGardener exposes what was filed and flags where a figure is not disclosed; the agent can use employee counts or balance-sheet size as a proxy.

Can the briefing be rerun?

Yes. The same question, asked again, runs against the latest data. Keep the prompt and the agent reproduces the analysis.

Your agents already know how to think.Give them something worth knowing.

Built on DataGardener intelligence already used by leading UK organisations.