Company hiring intelligence from public LinkedIn data
Company hiring intelligence from public LinkedIn data: hiring momentum, department and seniority mix, leadership hires, new markets, buying-intent signals, and (deep) tech stack, salary bands and hard-to-fill roles from job descriptions. No login or cookies. One search per call (result caps in the input schema); failed lookups are not charged.
Answeringour last check, 2026-10-24
1 of 1checks answered this week
379 msmedian answer time
$0.01listed price per call
$0.01price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
POST https://agent-data.centorprat.workers.dev/tools/linkedin-hiring-signals-intelligence
| Category | Company and compliance |
|---|---|
| Provider host | agent-data.centorprat.workers.dev |
| Networks | eip155:137, eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 2 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-24 | valid payment request | 402 | $0.01 | 379 ms |
Example input (from the provider)
{
"body": {
"companies": [
"https://www.linkedin.com/company/stripe"
],
"maxJobsPerCompany": 25
},
"bodyType": "json",
"method": "POST",
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"companies": {
"description": "LinkedIn company URLs (exact), company names or website domains (e.g. \"https://www.linkedin.com/company/stripe\", \"HubSpot\", \"notion.com\"). One brief per company.",
"items": {
"type": "string"
},
"maxItems": 1,
"type": "array"
},
"deepAnalysis": {
"description": "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.",
"type": "boolean"
},
"intentKeywords": {
"description": "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.",
"items": {
"type": "string"
},
"maxItems": 10,
"type": "array"
},
"jobDetailsSampled": {
"description": "When deep analysis is on, how many of the most recent postings per company to read in full.",
"maximum": 10,
"type": "integer"
},
"maxCompanies": {
"description": "Cap how many companies to analyse this run.",
"maximum": 1,
"type": "integer"
},
"maxJobsPerCompany": {
"description": "How many of the company's open LinkedIn jobs to analyse (most companies have fewer).",
"maximum": 50,
"type": "integer"
}
},
"required": []
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST",
"PUT",
"PATCH"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}