WARN Layoff & Corporate Distress Intelligence
Pricing
from $8.40 / 1,000 results
WARN Layoff & Corporate Distress Intelligence
Use this Actor to analyze warn layoff and corporate distress and return decision-ready structured signals. Turn WARN layoff notices into company-level layoff acceleration, affected-headcount, geographic concentration and distress signals.
Pricing
from $8.40 / 1,000 results
Rating
0.0
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Developer
Rafael Barreto Haddad
Maintained by CommunityActor stats
0
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2
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1
Monthly active users
5 days ago
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Use this Actor to analyze warn layoff and corporate distress and return decision-ready structured signals. It is designed for repeatable human, API, Apify AI, and MCP-driven workflows.
Turn WARN layoff notices into company-level layoff acceleration, affected-headcount, geographic concentration and distress signals.
Why use this Actor
WARN notices provide individual layoffs, but recruiting, sales and risk teams need recurring company-level intelligence about acceleration, affected headcount and geographic concentration. This Actor sits above raw extraction: supply a current dataset, optionally add a previous snapshot, and receive an aggregated report built for recurring monitoring and AI-agent workflows.
Key features
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Company-level layoff acceleration instead of notice rows only.
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Snapshot comparison for newly deteriorating employers.
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Affected-headcount and geographic concentration scoring.
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Corporate distress actions for recurring monitoring.
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Low-compute 256 MB data-first architecture.
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Reads inline JSON rows or Apify Dataset IDs with limited READ permission.
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Writes one auditable report to the default Dataset and
INTELLIGENCE_REPORT.
Example
Use the prefilled example or replace currentItems with rows from an upstream Actor. On recurring runs, provide the prior period in previousItems or previousDatasetId. The Actor normalizes common aliases, compares snapshots, ranks the strongest entity changes and emits agentAction.
Use cases
- Credit risk.
- Recruiting.
- B2B sales triggers.
- Economic research.
- Private equity.
Pricing
One primary pay-per-event outcome: one decision-ready intelligence report. Base price USD 0.012 before Apify tier discounts. The 256 MB data-first architecture is designed for strong unit economics.
Limitations
- Analyzes supplied public or appropriately licensed data and does not bypass restricted sources.
- Scores are decision-support signals, not predictions or guarantees.
- Keep stable identifiers across snapshots for best change detection.
- Zero-direct-competition status is rechecked before publication because the Store changes continuously.
Workflow
upstream dataset -> current snapshot -> optional previous snapshot -> normalization -> entity aggregation -> change scoring -> ranked signals -> agentAction.
Input
Provide currentItems inline or select currentDatasetId from Apify storage. For period-over-period analysis, add previousItems or previousDatasetId. The Actor uses read-only Dataset permission and accepts up to 50,000 records per run. Stable source identifiers improve exact new/removed record detection, while common aliases are normalized for entity, value, date and secondary dimensions.
Output
The default Dataset receives one compact intelligence report containing current and previous record counts, newly observed and removed records, an aggregate market signal score, ranked entity-level signals, secondary-dimension concentration and a deterministic agentAction. The same report is also saved as INTELLIGENCE_REPORT in key-value storage for downstream Tasks, Schedules, webhooks and agentic workflows.
