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Pocket Network BLS Occupational Employment & Wage Statistics
x402
Pocket Network BLS Occupational Employment & Wage Statistics is a paid API for AI agents from agent.pocket.network, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-02).
Returns BLS Occupational Employment and Wage Statistics (OEWS) observations for a given series ID, covering wages by occupation and geographic area.
Price / call$0.005
Success—
StatusUnknown
How this service works
BLS occupational employment and wage statistics by occupation and area. POST /v1/occupational with a {series} id and get the wage observations as one JSON object. Deterministic per data vintage. Pay per request in USDC; no account, no API key.
Output
A JSON object containing the wage observations (wage percentiles, mean wages, employment counts, etc.) for the requested BLS OEWS series ID, along with portal metadata including service ID, provenance attribution, and schema validation status.
Example use cases
Salary benchmarking for job postings
“I'm writing a job description for a data analyst role in our Seattle office — can you pull the BLS OEWS wage data for data analysts in the Seattle metro area using series OEUM000530150000000000003 so I can benchmark our salary range?”
Compensation analysis for HR reporting
“Our HR team needs to compare what BLS reports for registered nurses in Florida versus the national average — can you fetch the OEWS wage statistics for the series OEUM000120000000000000001 and give me the full breakdown?”
Workforce research for policy brief
“I'm writing a policy brief on wage disparities for construction laborers in rural areas — please look up the BLS occupational wage observations for series OEUM000472000000000000001 and return everything in one go.”
Technical details
Endpoint
POSThttps://agent.pocket.network/v1/occupational-wages?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need programmatic, pay-per-request access to BLS OEWS occupational wage data without managing API keys or accounts. It is ideal for agents performing salary benchmarking, compensation research, or labor market analysis using official U.S. government wage statistics. Prefer this over scraping BLS.gov or managing a BLS API key when you need reliable, structured JSON output with deterministic results per data vintage.
Side effects
- Invalid or malformed series ID returns an error or empty data object
- Series ID for a suppressed or unavailable area-occupation combination may return no observations
- Network or upstream BLS data availability issues may cause timeouts
- Payment failure (insufficient USDC balance) prevents request from completing
- Stale data if the requested series hasn't been updated in the current BLS vintage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| series | string | BLS OEWS series id, e.g. OEUM001018000000000000001. |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {},
"portal": {
"serviceId": "occupational-wages",
"provenance": "third-party-supplier",
"schemaCheck": "passed"
}
}
}Tags
x402
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