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LinkedIn Hiring Signals Intelligence
x402
LinkedIn Hiring Signals Intelligence is a paid API for AI agents from agent-data.centorprat.workers.dev, paid per call via x402, $0.08/call, status unknown (last checked 2026-10-29).
Fetches company hiring intelligence from public LinkedIn data including hiring momentum, department mix, leadership hires, buying-intent signals, tech stack, salary bands, and hard-to-fill roles from job descriptions.
Price / call$0.08
Success—
StatusUnknown
How this service works
Pay-per-call data and tools for AI agents, $0.002-0.01 per call in USDC via x402 (Base, Polygon or Solana), no account or API key; MAX tiers ($0.05-0.25) run deeper jobs. Agent toolkit: web search, search + read top pages, any page as clean markdown with a prompt-injection check, which-x402-API-to-call recommender, seller check. Data: Google Maps places with contacts, YouTube video data and transcripts, job listings (Indeed, LinkedIn, 13 boards), Google Ads Transparency, TikTok comments, Pinterest, Airbnb, Redfin, AliExpress, app stores, live sports, website and SEO checks, Shopify store tech stacks, and onchain token / address risk checks.
Output
Returns a structured hiring intelligence brief per company including: overall hiring momentum, breakdown of open roles by department and seniority, recent leadership hires, new market signals, buying-intent keyword match counts across open roles, and (if deep analysis is on) full technographics from job descriptions, salary bands, applicant counts per role, and identification of hard-to-fill positions.
Example use cases
Sales prospecting with buying-intent signals
“Check LinkedIn hiring signals for HubSpot and look for open roles mentioning Salesforce, Marketo, or Segment — I want to know if they're a good target for our data integration product. Turn on deep analysis so I can see the tech stack from job descriptions.”
Competitive intelligence on engineering growth
“Analyze Notion's LinkedIn hiring data — I want to see their hiring momentum, which engineering seniority levels they're adding, and any hard-to-fill roles. Use deep analysis and sample the 10 most recent job postings.”
Leadership hire monitoring for a prospect
“Look up the LinkedIn hiring signals for notion.com and tell me if they've made any leadership hires recently, whether they're entering new markets, and what their current department mix looks like.”
Technical details
Endpoint
POSThttps://agent-data.centorprat.workers.dev/tools/linkedin-hiring-signals-intelligence?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need rich, structured hiring intelligence from LinkedIn without managing cookies or authentication — especially for sales prospecting (buying-intent signals from job descriptions), competitive intelligence (department growth, tech stack), or talent research (salary bands, hard-to-fill roles). Prefer this over the sibling LinkedIn Jobs Scraper when you want company-level aggregated intelligence rather than a raw list of job postings, or when you need technographics and intent signals baked into the output.
Side effects
- Company not found on LinkedIn — lookup fails, not charged
- Invalid LinkedIn URL or unresolvable domain — error returned
- Deep analysis timeout if too many job postings sampled
- Rate limiting or LinkedIn data unavailability for certain companies
- maxCompanies/maxItems schema validation error if more than 1 company passed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| companies | array | LinkedIn company URLs (exact), company names or website domains (e.g. "https://www.linkedin.com/company/stripe", "HubSpot", "notion.com"). One brief per company. |
| deepAnalysis | boolean | Also read the most recent job postings in full: tech stack (technographics), salary bands, applicant counts, hard-to-fill roles, compliance / IPO-readiness signals, LinkedIn seniority and job function. Adds time. Off by default. |
| maxCompanies | integer | Cap how many companies to analyse this run. |
| intentKeywords | array | Products, tools or skills YOU sell into (e.g. "salesforce", "snowflake", "soc 2", "kubernetes"). Reports how many open roles mention each - a vendor-specific buying signal. Deep mode also searches job descriptions. |
| jobDetailsSampled | integer | When deep analysis is on, how many of the most recent postings per company to read in full. |
| maxJobsPerCompany | integer | How many of the company's open LinkedIn jobs to analyse (most companies have fewer). |
Output
Schema · Response
{
"type": "json",
"example": {
"items": [
{
"website": "https://stripe.com",
"industry": "Technology, Information and Internet",
"sizeBand": "5,001-10,000 employees",
"checkedAt": "2026-10-23T11:32:38+00:00",
"companyId": "2135371",
"followers": 1783505,
"companyName": "Stripe",
"linkedinUrl": "https://www.linkedin.com/company/stripe",
"headquarters": "South San Francisco, California",
"openRolesFound": 25,
"openRolesCapped": true,
"postedLast7Days": 9,
"postedLast30Days": 20,
"employeesOnLinkedIn": 16694
}
]
}
}Tags
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