# OneGoodArea > The intelligence layer for place. OneGoodArea is place intelligence infrastructure for property and location products: it turns any postcode, place or official code in Great Britain into sourced signals, explained scores, portfolio monitoring, and natural-language answers, delivered over a REST API and as a Model Context Protocol (MCP) server so AI agents can query it directly. OneGoodArea scores and explains any area in Great Britain. Enter a postcode, choose an intent, and get a versioned 0-100 score with a per-category breakdown and a confidence value. Scoring is deterministic: values are computed from public data by fixed formulas with no AI in the scoring path, and every response is stamped with the engine version and the sources behind it, so every figure can be traced to its source, its period and the method that produced it. The engine scores seven signal categories for every intent: safety and crime, deprivation, property, schools, amenities, transport, and environment. Four decision presets (moving, business, investing, research) change only how those categories are weighted. Current engine (methodology) version: 1.12.6. Every place in Great Britain has a permanent OneGoodArea place id: 52,025 places from neighbourhoods to nations, with 43,064 neighbourhoods. Live and retired postcodes (906,487 retired ones), current and earlier census codes and place ids all resolve to the same place, and boundary changes are recorded as successions. 65 signals are stored, about 6 million observations in all. Area reads are available at neighbourhood, neighbourhood-group or district grain, and up to 1,000 records can be mapped in one call or 20,000 as a job. OneGoodArea is four composable products over one engine: - Signals: sourced area data across the seven categories, each value carrying its source, observed period and confidence. - Scores: a single 0-100 score per intent, with per-category breakdown, reasoning and confidence. - Monitor: watch a portfolio of places and get a signed webhook when the underlying data moves materially, with the cause: the area moved, or the method did. - Intelligence: natural-language questions, similar places, outliers and forecasts over the same data. ## Docs - [Methodology](https://www.onegoodarea.com/methodology): how the score is built, the seven categories, versioning, and confidence. - [API reference](https://www.onegoodarea.com/docs/api-reference): REST endpoints, request and response shapes, and authentication. - [MCP server](https://www.onegoodarea.com/docs/mcp): use OneGoodArea from inside Claude, Cursor, and any MCP client. The npm package is @oga-mcp/server, listed in the official MCP Registry as com.onegoodarea/oga-mcp. - [OpenAPI spec](https://www.onegoodarea.com/openapi.json): machine-readable description of the API. - [Changelog](https://www.onegoodarea.com/changelog): what shipped and when. - [Full text](https://www.onegoodarea.com/llms-full.txt): everything above inlined as one markdown file, for a single-fetch read. ## Product - [Home](https://www.onegoodarea.com/): overview of the platform. - [MCP server](https://www.onegoodarea.com/mcp): the MCP server as a product: what it answers, the twelve tools, sign-in from Claude and any MCP client, and the licence. - [Pricing](https://www.onegoodarea.com/pricing): a free sandbox (500 calls a month) to evaluate, then a platform licence to use it in a product or a data partnership to redistribute it, priced on use and reach and agreed on a call. ## Who builds on it - [For PropTech](https://www.onegoodarea.com/for/proptech): the place layer underneath property and location products, with a section for each kind of builder. - [Location data companies](https://www.onegoodarea.com/for/proptech#location-data): neighbourhood context beside footfall, mobility, address and geospatial data. - [Property data and analytics](https://www.onegoodarea.com/for/proptech#property-data): the neighbourhood, group and district behind every property record. - [Property platforms](https://www.onegoodarea.com/for/proptech#platforms): the place shown at the moment people choose. - [AI products](https://www.onegoodarea.com/for/proptech#ai-products): sourced, dated facts an assistant can cite. ## Other industries - [Estate agents](https://www.onegoodarea.com/for/estate-agents): area context for listings and valuations. - [Lenders](https://www.onegoodarea.com/for/lenders): area scoring with the methodology version on every response. - [Insurance](https://www.onegoodarea.com/for/insurance): area risk signals and portfolio monitoring. - [Commercial real estate](https://www.onegoodarea.com/for/cre): shortlist and compare areas at scale. - [Public sector](https://www.onegoodarea.com/for/public-sector): consistent area evidence for decisions. ## Company - [About](https://www.onegoodarea.com/about): who builds OneGoodArea. ## Contact - Email: operation@onegoodarea.co.uk