Location-enriched public data infrastructure for the decisions that shape markets.
The DataGarden harmonizes demographics, economics, environment, and domain signals across 195+ countries — and delivers it however you want to consume it: agent tool, API call, browsable catalog, or bespoke sales intelligence.
Built for analysts, AI builders, and commercial teams
One postcode, fully harmonized
No mock-ups. This is the shape of a single record — typed fields, standardized geo identifiers, and the source vintage attached.
| population | 17,151 |
| income_avg | €42,300 |
| median_age | 38.4 |
| households | 8,920 |
| geo_id (NUTS) | FR101 |
Four ways to plug in
Same underlying data layer, four purpose-built interfaces — pick the one that matches how your team builds.
MCP Server — the data layer for AI workflows
Connect any MCP-compatible agent (Claude, GPT, LangChain, CrewAI) to live economic, demographic, and geo data with one configuration line. Natural-language queries, structured responses, source citations included.
Explore the MCP → For data engineersREST API & Python SDK
Query demographics, economics, real estate, and domain signals by postal code, H3 cell, or bounding box — 195+ countries, postal-code granularity. pip install the-datagarden and you're live.
Data Discovery catalog
Stop hunting across 50 government portals. 13 curated sources, 9 categories, browsable and downloadable — with harmonized column names, consistent geo identifiers, and aligned time periods.
Browse the catalog → For commercial leadersGeo Sales intelligence
Stop guessing where to sell. We score every outlet in your market — so your team shows up where it wins. Bespoke scoring models, interactive dashboards, 6–8 week ROI evidence.
Request a pilot →Harmonized at the source, not in your pipeline
Public data is abundant, but rarely usable. We close the gap — once — so every downstream team doesn't have to.
One schema, 195+ countries
Consistent column names, standardized geo identifiers (ISO, NUTS, postal), aligned time periods. Cross-country comparisons that actually work.
As fresh as the source
We re-ingest each source as it publishes — annually for most official statistics, continuously for map data. Every response carries that source's publication date, so you always know the vintage.
Built on open standards
MCP-native, REST-native, Python-native, Pandas-compatible. Open data licenses, full source citations in every response.
Postal-code granularity
From national averages down to single postcodes and H3 hex cells — the detail you need to make real commercial and research decisions.
Choose your interface
Same data, four ways in: MCP for agents, REST for pipelines, catalog for analysts, bespoke models for sales ops. No lock-in.
Built for builders
Free sandbox, clear docs, predictable pricing, no procurement cycle to start. Evaluate before you commit.
Give your team the world's data
Start free. Explore the catalog, query the API, connect the MCP — all without a credit card.