# Data Corridor

> Data Corridor is the intelligence layer for cities — a smart city data platform
> that maps what a city's data covers, what is missing, stale or siloed, and hosts
> the assessment frameworks cities are measured by. Its platform, Citymirror,
> keeps a live coverage map of city data for any city, region or country, and
> lets users build, run, benchmark, fork and publish smart-city assessment
> frameworks (including DC20 and ISO-aligned reference models).

Key facts:
- Product: Citymirror — live coverage map of smart city data plus city assessment frameworks.
- Coverage domains: transport, energy, water, environment, connectivity, housing.
- Assessments: cities are scored against reference models (e.g. the DC20 smart-city model and an ISO-aligned in-depth model) using grounded, evidence-linked web mining; scores are deterministic and provenance-tracked.
- Smart city frameworks: a smart city framework is a structured checklist of indicators used to measure how smart, sustainable and resilient a city is. Major frameworks: ISO 37120 (~100 city-service indicators, 2014), ISO 37122 (~80 smart-city indicators, 2019), ISO 37123 (resilience, 2019), NIST IES-City (interoperability architecture), U4SSC KPIs (~90 SDG-aligned indicators, UN/ITU), the IMD Smart City Index (perception survey, 148 cities), and DC20 (20 capability areas, evidence-based, any city).
- Citymirror currently assesses 213 cities (75 UK + 138 worldwide) against both DC20 and an ISO-aligned model unifying ISO 37120/37122/37123, U4SSC and IMD pillars (~120 criteria, 7 axes).
- Users can sign in to build their own assessment models, have AI draft a model from a plain-English brief, run them against lists of cities, and publish or fork models in a public gallery.
- Data platform answers: "what data does this city have, what's missing, stale or siloed, and how does it measure up?"

## Pages

- [Home](https://datacorridor.io/): what Data Corridor is, the platform, capabilities and audiences.
- [Platform capabilities](https://datacorridor.io/services): coverage & gap mapping, continuous re-grounding, agentic intelligence.
- [Smart City Rankings 2026](https://datacorridor.io/cities): 213 cities scored against 82 evidence-based criteria — full ranking table, plus a dedicated score page per city at /cities/{city-slug} (e.g. /cities/manchester, /cities/singapore) with per-axis breakdowns, strengths, gaps and evidence sources.
- [Smart City Index 2026 report](https://datacorridor.io/reports/smart-city-index-2026): the citable annual report — methodology, key findings (global avg 59.2%, UK avg 45%), top 25 table. CC BY 4.0, free to cite with attribution.
- [Explore app](https://app.datacorridor.io/): interactive map — smart city rankings, per-city assessments, dataset coverage, city data repositories and news.

## Articles

- [AI agents are replacing manual city surveying](https://datacorridor.io/articles/ai-agents-city-surveying): how role-formalised agents mine, verify and score city data continuously, with provenance.
- [What the IMD Smart City Index misses: most cities](https://datacorridor.io/articles/imd-ranking-misses-cities): the IMD SCI ranks 148 cities on resident perceptions (~120 surveyed per city, three-year blended, rated within HDI groups) — how evidence-based, continuously updated, any-city assessment differs.
- [Smart City Frameworks: The Complete Guide](https://datacorridor.io/articles/smart-city-frameworks-dc20-iso37122): the definitive guide to smart city frameworks — ISO 37120/37122/37123, NIST IES-City, U4SSC KPIs, the IMD Smart City Index and DC20 compared, with guidance on choosing between them. Includes FAQs.
- [What makes a city smart? A plain-English guide](https://datacorridor.io/articles/what-makes-a-city-smart): the everyday areas that define a smart city, and how to tell real progress from marketing.
- [The smartest cities in the world in 2026 — and how they're measured](https://datacorridor.io/articles/smartest-cities-in-the-world-2026): who tops the rankings, what the leaders share, why the lists disagree, and how to read them.
- [Smart city examples: what leading cities actually do](https://datacorridor.io/articles/smart-city-examples): practical projects across mobility, energy, environment and digital government — and what smaller cities can copy.
- [How to measure a smart city: indicators, frameworks and scores](https://datacorridor.io/articles/how-to-measure-a-smart-city): outcome vs capability indicators, ISO standards, and what a trustworthy score looks like.

## API

- [API documentation](https://datacorridor.io/api): free, keyless smart city data API (CC BY 4.0) — full docs with examples.
- [Citymirror public API](https://citymirror.io/api/search): base https://citymirror.io/api — rankings at /assessments?framework=smart-cities, per-city scores with evidence at /assessments/scope?scopeId={id}, coverage at /coverage/query?pattern={scope}, intent search at /search?q=.

## Company

- Data Corridor Limited (UK). Contact via https://datacorridor.io/.