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Halowerk Wage Benchmark
x402
Halowerk Wage Benchmark is a paid API for AI agents from stat.halowerk.com, paid per call via x402, $0.006/call, status unknown (last checked 2026-09-13).
Returns annual gross earnings and hourly labour costs per country in both nominal currency (national or euro) and purchasing power standards (PPS), kept strictly separate.
Price / call$0.006
Success—
StatusUnknown
How this service works
Returns annual gross earnings and hourly labour costs per country, in national currency or euro and in purchasing power standards, and never blends the two. The separation is the point: forty-five thousand euro in one country and twenty-two thousand in another is a factor of two nominally and much less in purchasing power, and which figure is correct depends entirely on the question.
Output
A structured response containing annual gross earnings and hourly labour costs for the requested country or countries, reported separately in national currency, in euro, and in purchasing power standards (PPS) — with the two representation types never blended, making it explicit which figure applies to which basis.
Example use cases
Market entry labour cost analysis
“I'm evaluating manufacturing locations in Central Europe — give me the annual gross earnings and hourly labour costs for Czechia, Slovakia, and Romania in both euros and purchasing power standards so I can see the real cost difference.”
Compensation equity across EU offices
“We pay our engineers the same euro salary in Amsterdam and Lisbon — can you pull the wage benchmark data for both countries in nominal euros and in purchasing power standards so I can see whether that's actually fair in real terms?”
Academic wage gap research
“I need annual gross earnings figures for at least ten EU countries in purchasing power standards for a paper on wage convergence — can you get me the latest available year from the wage benchmark data?”
Technical details
Endpoint
POSThttps://stat.halowerk.com/v1/wage-benchmarkWhen to prefer
Use this endpoint when you need to compare labour costs or wages across countries and must keep nominal figures and purchasing power figures strictly separate — critical for compensation planning, market entry analysis, or economic research where conflating the two would produce misleading conclusions. Prefer this over generic World Bank or OECD scrapers when you need both hourly and annual granularity with euro and PPS side by side in a single structured response.
Side effects
- Unsupported country code returns an error indicating no data available for that country
- Requesting a year outside the available data range returns a not-found or out-of-range error
- Invalid currency preference parameter returns a validation error
- Missing required country parameter causes a 400-level bad request response
- Data may lag by one or two years for some countries due to statistical release schedules
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| countries | array | |
| include_labour_cost | boolean | Also fetch hourly labour cost — the employer side. |
Tags
x402
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