One API. Three countries.
One methodology.
AI compensation for the United States, the United Kingdom, and Canada, sourced entirely from government wage data. Every other salary site shows you a number. Orbyt shows you the government source behind it, so you can defend the figure to a reviewer. Pricing starts at $99 per month.
Three countries. One contract.
US · United States
388 metros covered. BLS OES + H-1B LCA + pay-transparency.
The US baseline. 3 sources reconcile per role × city. Available since Phase 2A.
- BLS OES
- DOL H-1B LCA
- State pay-transparency
GB · United Kingdom
UK national. ONS ASHE occupation-coded medians.
Annual ASHE for occupation-coded national medians. HMRC RTI and Skilled Worker visa going rates are planned, not yet ingested.
- ONS ASHE
- HMRC PAYE RTI (planned)
- Skilled Worker Visa (planned)
CA · Canada
10 cities + national. ESDC Open Government wages.
Annual NOC 2021 hourly wages from ESDC, in native CAD. StatCan WDS is planned, not yet ingested. Per-city coverage of Canadian metros.
- ESDC Open Government
- Statistics Canada WDS (planned)
The methodology is published.
Every estimate ties back to a specific government source. Every reconciliation weight is locked. Every confidence tier is disclosed. When you need to defend a number, the methodology paper is where you take a reviewer.
Why three countries.
The US, UK, and Canada form the largest English-speaking AI labor market with publicly accessible government wage data. BLS OES and DOL LCA cover the US. ONS ASHE covers the UK. ESDC Open Government covers Canada. Each country's reconciliation is designed for additional government sources that activate as they are ingested.
The decision to ship these three first was not strategic positioning. It was structural: these are the three countries where Orbyt could reach Bloomberg-grade source attribution without paying for proprietary wage data. Every other country gets added when its government publishes comparable raw inputs. Phase B opens that door.
What customers do with it.
HR analytics teams use the country dimension to build per-jurisdiction offer bands without separately negotiating per-country data licenses. Salary calculator products use the API to power per-city + per-country estimates with a single integration. AI agents use the MCP server to answer cross-country compensation questions inside their tool loops without context switching between data providers.
The methodology paper is the audit anchor. Every estimate ties back to a specific government source agency and occupation code with a confidence tier, so a customer's compliance team can cite the source directly.
What is coming next.
Phase B targets additional English-speaking markets where government wage data is structured: Australia (ABS), Ireland (CSO), New Zealand (Stats NZ). No promises on dates. Each country needs its own connector, its own currency normalization, its own occupation crosswalk, and a methodology paper amendment. Phase B will follow the same locked contract: every estimate carries a data_point_id, every source attribution is published, every disagreement above 25% surfaces in the response. The contract is the moat; the country count grows against it.
Where we are today.
The US and Canada are live today. Canada serves per-city figures from ESDC Open Government wages, in native CAD. UK national figures are ingested from ONS ASHE; per-city and live serving are on the roadmap. Because the API contract is locked, new countries and finer geography activate without any breaking change.
A number you can defend.
US, UK, and Canada. One API. Every figure traced to a government source.
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