🎯 Hiring Signal MCP — B2B Buying Intent from Career Pages

Detect when companies are actively building teams — and what they're about to buy. Built MCP-first for AI agents (Claude, Cursor, Claude Code).

"A company hiring 1 sales engineer is hiring an SE. A company hiring 5 sales engineers in 60 days is building a sales engineering function — they're about to buy the tools that function needs."

Why this exists

Sales intelligence platforms charge $49–$446/month for hiring/buying-signal data:

Tool	Price	Hiring data
Apollo Basic	$49/seat/month	30,000 credits/year
Apollo Professional	$79/seat/month	48,000 credits/year
Clay Launch	$167/month	"Track job changes and other signals"
Coresignal Job API	Enterprise quote	349M jobs
Hiring Signal MCP (this Actor)	~$0.30 per agent call	Real-time, signal-scored, MCP-native

For an AI agent making 30 calls/day, this Actor costs ~$9/month vs. a $49+/seat/month subscription.

Built for AI agents (MCP-first)

This is a Model Context Protocol server. Agents connect to it directly — no Apify Console clicks required. Once connected, your agent can call:

• analyze_company_hiring(domain) — full hiring snapshot
• get_buying_signals(domain, role_pattern?, threshold?, window_days?) — detected purchase intent signals
• compare_hiring_velocity(domains[]) — competitive analysis across up to 10 companies

Connect from Claude Desktop or Claude Code

Add to your claude_desktop_config.json (or VS Code MCP config):

{
  "mcpServers": {
    "hiring-signal": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://YOUR_USERNAME--hiring-signal-mcp.apify.actor/mcp"],
      "env": {
        "APIFY_TOKEN": "your_apify_api_token"
      }
    }
  }
}

Then ask Claude: "Find the SaaS companies hiring sales engineers in the US right now and rank them by velocity."

How signals are detected (v1: velocity-based)

A buying signal fires when:

• 3+ open roles match the same canonical role
• Posted within 60 days (configurable)
• Recency-weighted, with confidence scoring

Confidence boosts: all-senior matches (+0.10), multi-geography spread (+0.10), 5+ matches (+0.40 cap). Confidence penalties: intern/junior matches (−0.20).

This is intentionally simple, fast, and deterministic — agents don't have to wait for an LLM to decide. Future versions will add pattern-based signals (specific role combinations) and AI-classified intent.

ATS coverage

Adapter	Status	Scale	Coverage
Greenhouse	✅ Production	30,000+ companies	~30% of B2B SaaS (Stripe, Airbnb, Pinterest, most YC alumni)
Lever	✅ Production	5,000+ companies	~20% of scaleups (Notion, Brex, Mercury)
Ashby	✅ Production	3,000+ companies	~10% of well-funded startups (Linear, Ramp)
Workable	✅ Production	25,000+ companies	EU mid-market & SMB
SmartRecruiters	✅ Production	4,000+ companies	Global mid-market & enterprise
Workday	✅ Production	2,500+ tenants	Fortune 500 & global enterprise
Careers-page fallback	✅ Production	Long-tail	JSON-LD → heuristic links → Gemini rescue

v0.2 covers ~95% of typical B2B targets across SMB, mid-market, and enterprise. The careers-page fallback catches any company not on a named ATS.

Output schema (truncated example)

{
  "domain": "stripe.com",
  "company_name": "Stripe",
  "total_open_roles": 312,
  "postings_last_30_days": 47,
  "postings_last_60_days": 89,
  "postings_last_90_days": 134,
  "by_function": {
    "engineering": 178,
    "sales": 42,
    "product": 28,
    "ops": 19
  },
  "by_country": {"US": 198, "IE": 31, "GB": 24, "IN": 18, "AU": 12},
  "top_technologies": [
    {"technology": "ruby", "count": 41},
    {"technology": "go", "count": 28}
  ],
  "buying_signals": [
    {
      "role_pattern": "Sales Engineer",
      "matching_roles_count": 7,
      "window_days": 60,
      "confidence_score": 0.80,
      "explanation": "7 open 'Sales Engineer' roles posted in last 60 days across 3 countries — primarily senior+ roles. Pattern suggests active team buildout."
    }
  ]
}

Pricing — Pay-per-event

You pay only for what the Actor delivers.

Event	Price	When charged
mcp-tool-call	$0.05	Per agent tool invocation
company-analyzed	$0.20	Per company processed
role-extracted	$0.005	Per role parsed and classified
buying-signal-detected	$0.10	Per buying signal that fires

Worked example. Agent asks: "Compare hiring at Stripe, Notion, and Linear."

• 1 MCP tool call: $0.05
• 3 companies analyzed: $0.60
• ~600 roles extracted: $3.00
• 4 buying signals detected: $0.40
• Total: ~$4.05

Most agent sessions cost $0.30–$2.00 per query.

Use cases

B2B SaaS marketers: Find prospects in active buying mode for your category. "List 50 companies hiring 3+ RevOps roles right now" → instantly actionable target list.

VC analysts: Monitor portfolio company growth. "Compare hiring velocity at all 12 of our Series B portfolio companies" → leading indicator of execution.

Competitive intel teams: Track competitor team buildouts. "Is our top competitor hiring engineers faster than us this quarter?"

Sales leaders: Find net-new accounts your AEs haven't found yet. "Mid-market SaaS companies in NY hiring sales engineers" → instant pipeline.

Why use this over the cheaper alternatives?

Single-platform job scrapers exist on Apify, but they:

1. Target LinkedIn/Indeed (legally fragile, frequently break)
2. Return raw postings — no signal extraction
3. Can't be called from an AI agent
4. Don't aggregate across multiple ATSes

This Actor is MCP-native, signal-extracting, and ATS-agnostic — three things no other Actor on the Store currently combines.

Limitations

• Posted dates are required for velocity signals. Roles without dates are excluded — this prevents false positives from stale postings.
• No LinkedIn scraping, ever. We only use public ATS APIs and career pages. This is the legal moat.
• English-only role classification in v1. Non-English roles are still extracted but not signal-scored.
• Workday discovery requires a link on the company's own careers page. JS-only Workday embeds fall through to the careers-page adapter.

Roadmap

• v0.3: Pattern-based signals (role combinations indicating specific buying intent)
• v0.4: AI-classified buying intent (Gemini reads JDs, infers what tools they're about to buy)
• v0.5: Webhook delivery for "alert when company X starts hiring for Y"

Issues, requests, custom builds

Open an issue on the Actor's Issues tab and we'll respond within 24 hours.