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Job Compensation Data – Normalized Salary Bands Across ATS Platforms
x402
Job Compensation Data – Normalized Salary Bands Across ATS Platforms is a paid API for AI agents from assetfactory-jobs-x402.sigrunner.workers.dev, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Fetches and normalizes compensation data (min/max salary, currency, period, annualized) from up to 25 company job boards across 10 ATS platforms, returning per-posting salary bands plus per-company disclosure rates and median bands.
Price / call$0.01
Success—
StatusUnknown
How this service works
One maintained, normalized jobs data API that scrapes open job postings and listings across 10 applicant-tracking systems (Greenhouse, Lever, Ashby, SmartRecruiters, Workday, Recruitee, Workable, BambooHR, Breezy, Personio) with company-domain auto-detection. Use it to list a company’s open roles, find remote software-engineering / sales / any jobs, detect whether a company is hiring, and pull recruiting, salary and requirements data. Pay per call in USDC on Base via x402 (HTTP 402) — no account, no API key. Adapters are drift-monitored and maintained so the feed does not rot.
Output
A JSON response containing a list of job postings each with normalized compensation fields (min, max, currency, period, annualized min/max, source type), plus a summary array per company showing total postings scanned, number with disclosed pay, disclosure rate, and median annual salary band. Also includes a generated_at timestamp.
Example use cases
Benchmarking engineer salaries at AI companies
“Can you pull the disclosed salary ranges for engineering roles at OpenAI, Anthropic, and DeepMind — up to 150 postings per company — and show me the median annual pay band for each?”
Pay transparency audit for recruiting strategy
“Which of these companies actually disclose compensation in their job postings — Stripe, Plaid, Brex, and Ramp? Show me the disclosure rate per company and the median salary bands.”
Competitive compensation research for a job seeker
“I'm evaluating offers from Figma and Canva — can you grab the salary ranges from their live job boards and normalize them into annual min/max figures so I can compare?”
Technical details
Endpoint
GEThttps://assetfactory-jobs-x402.sigrunner.workers.dev/jobs/comp?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, normalized salary data pulled directly from live company ATS job boards across multiple platforms simultaneously — especially when companies use different ATS systems (Ashby, Greenhouse, Lever, etc.) and you need apples-to-apples salary comparison. Prefer this over scraping individual job boards manually or using static salary databases when you want real-time disclosed compensation with per-company disclosure rate analytics. Best for compensation benchmarking, pay transparency audits, and recruiting intelligence workflows.
Side effects
- Unknown company domain or slug returns empty results or no matched ATS platform
- companies parameter missing causes 400 validation error
- Requesting more than 25 companies at once may be rejected or truncated
- disclosedOnly=true with a company that has no pay transparency returns empty jobs array
- Rate limiting or upstream ATS unavailability may cause partial results or timeout
- Invalid or unsupported ATS platform token returns no data for that company
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"jobs": [
{
"id": "ashby-abc123",
"url": "https://jobs.ashbyhq.com/openai/abc123",
"comp": {
"max": 385000,
"min": 245000,
"period": "year",
"source": "structured",
"currency": "USD",
"annualized": {
"max": 385000,
"min": 245000
}
},
"title": "Research Engineer",
"company": "openai",
"location": "San Francisco",
"source_platform": "ashby"
}
],
"count": 1,
"summary": [
{
"company": "openai",
"currency": "USD",
"postings": 1,
"disclosed": 1,
"disclosure_rate": 1,
"median_annual_max": 385000,
"median_annual_min": 245000
}
],
"generated_at": "2026-10-29T00:00:00.000Z",
"disclosed_count": 1
}
}Tags
x402
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