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Disruption Intelligence Ripple API
x402
Disruption Intelligence Ripple API is a paid API for AI agents from disruption.forgemesh.io, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-13).
Returns geospatial disruption intelligence for a company, including risk tier, event counts, severity, and downstream business sector impact paths derived from WARN filings and labor signals.
Price / call$0.05
Success—
StatusUnknown
How this service works
Paid layoff risk and WARN filing intelligence via x402. Company risk scores, ripple effects, and geographic disruption data.
Output
A JSON object containing a risk_tier (e.g. 'moderate'), event_count of disruption events, an average severity score, and an array of business_sector_impacts each with a sector name, confidence level, and a natural-language impact_path explaining downstream business effects such as hiring opportunities or competitor poaching.
Example use cases
Identify staffing recruitment opportunities from regional layoffs
“Check the disruption risk around our target accounts in the Midwest and tell me which staffing and HR firms could benefit from worker displacement in those regions. I need the confidence levels and the actual impact chains showing how layoffs flow into hiring demand.”
Monitor competitive threat from workforce disruptions
“Run disruption intelligence on our three biggest competitors and show me which sectors are losing workers nearby. I want to understand if we have poaching opportunities and whether their supply chains are at risk from regional labor shocks.”
Assess supply chain vulnerability by geography
“Give me the disruption intelligence for manufacturing and logistics hubs in the Southeast. I need to see which sectors downstream are most exposed to layoff ripple effects, along with severity scores and event counts, so I can flag supply chain risks to our procurement team.”
Technical details
Endpoint
GEThttps://disruption.forgemesh.io/companies/%7Bid%7D/intelligenceWhen to prefer
Use this endpoint when you need downstream ripple effect analysis — not just raw WARN filing data — for a specific company. It is best when you want to understand which business sectors are opportunistically or negatively affected by nearby labor disruptions, and when you need a human-readable impact path explaining the causal chain. Prefer this over generic economic data APIs when the use case involves staffing, competitive intelligence, or regional workforce displacement.
Side effects
- Company ID not found — 404 with no matching entity
- Insufficient WARN or labor data for region — returns empty event_count and null severity
- Payment not attached or insufficient USDC — 402 Payment Required
- Malformed company ID in path parameter — 400 bad request
- Data freshness lag — regional events may not reflect most recent WARN filings
- Low confidence scores returned when regional signal is sparse
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"risk_tier": "moderate",
"event_count": 0,
"severity_avg": 0,
"business_sector_impacts": [
{
"sector": "staffing and recruiting",
"confidence": "medium",
"impact_path": "worker displacement creates short-window hiring, temp labor, and competitor poaching opportunities"
}
]
}
}
}Tags
x402
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