{"uid":"cap_ELphhekQRAhXSc87c-S7Z","slug":"disruption-intelligence-ripple-api-dd008f04","name":"Disruption Intelligence Ripple API","description":"Paid layoff risk and WARN filing intelligence via x402. Company risk scores, ripple effects, and geographic disruption data.","url":"https://disruption.forgemesh.io/companies/%7Bid%7D/intelligence","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"properties":{"type":"string"}}},"responseSchema":{"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"}]}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.05","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.05/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.05","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_HvaiywGpTLxhv76VI-73_","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.05","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"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.","exampleAgentPrompt":"Pull the disruption intelligence for company ID acme-corp-123 and tell me its risk tier, how many events have been flagged, and which business sectors are seeing ripple effects from nearby layoffs.","exampleUseCases":[{"title":"Identify staffing recruitment opportunities from regional layoffs","prompt":"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."},{"title":"Monitor competitive threat from workforce disruptions","prompt":"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."},{"title":"Assess supply chain vulnerability by geography","prompt":"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."}],"resultDescription":"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.","failureModes":["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"],"whenToPreferThis":"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.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T18:41:10.423Z","isFirstParty":false}