TalentPulse Layoffs & Workforce-Reduction Tracker is a paid API for AI agents from talentpulse.theaslangroupllc.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-15).
Returns real-time layoff and workforce-reduction intelligence by industry and region, including which companies are cutting jobs, newly available talent pools, counter-hiring signals, US WARN Act filings, and BLS unemployment context.
Layoffs and workforce-reduction tracker by industry and region — which companies are cutting jobs, what talent is newly available, who is counter-hiring, plus US WARN Act signals and BLS unemployment context. Real-time hiring-market intelligence for recruiting, sourcing and talent agents. Any industry, global, 10 languages.
A structured response listing recent layoff events with company names, headcount reductions, industry classifications, regional breakdowns, US WARN Act signals, BLS unemployment context, and a list of companies actively counter-hiring in the same space — giving recruiters a ready-made target list of available talent and hiring opportunities.
GEThttps://talentpulse.theaslangroupllc.com/api/talent/layoffsChoose this endpoint when you need real-time, structured layoff and workforce-reduction intelligence for recruiting or talent-sourcing workflows — especially when you need WARN Act signals, BLS context, or counter-hiring company identification combined in one call. Prefer this over generic job-board APIs when the goal is proactive talent sourcing from disrupted workforces rather than posting or searching open roles.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"region": "USA",
"industry": "tech",
"layoff_pulse": {
"trend": "decelerating",
"cycle_context": "Post-2022-2023 correction stabilizing; AI-driven restructuring replacing traditional job cuts",
"current_intensity": "elevated"
},
"talent_now_available": {
"absorption_rate": "Fast — most laid-off engineers reabsorbed within 3 months",
"high_supply_roles": [
"ML engineers",
"product managers",
"data analysts"
]
}
}
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