DataCEVALayoff Notices
WARN Act layoff notices for AI assistants

DataCEVA Layoff Notices

Answers questions about layoffs and plant closings using WARN Act notices: the advance notices U.S. employers must file with the state before larger layoffs and closures. DataCEVA collects the notices published by 46 states and Washington, D.C., puts them into one format and refreshes them daily.

46 states + D.C.Refreshed daily Read-onlyNo sign-in

Connect it

Add it from the Claude or ChatGPT directory, or add it as a custom connector with this address (no sign-in needed):

https://dc-ai-plugin-layoff-notices-mcp.onrender.com/mcp

In Claude: Settings → Connectors → Add custom connector.

Example questions

  • Is Intel laying people off?
  • Which employers near Milwaukee, WI filed layoff notices this month?
  • Are manufacturing layoffs rising in the Midwest?
  • Show the full details of Intel's most recent layoff notice.
  • Which states does this cover and how current is the data?

Limits

  • WARN covers larger layoffs only (generally 50 or more workers at one site), so no notice doesn't mean no layoffs.
  • Arkansas, Wyoming and New Hampshire don't publish notices, and Ohio is temporarily unavailable. A few states are updated in part or from saved history only (see States covered).
  • History depth differs by state, and some states have gaps. Industry is reported by some states only, and locations are approximate (ZIP code, city or county).
  • Update and correction notices for an earlier notice are listed but not counted twice in totals.
  • Notices describe employers, not individual employees. Personal contact details that appear in state files are removed.

What it can do

Search notices

By company, state, region, place and distance, industry, filed dates and size.

Summarize

Notices and workers by month, quarter, year, state, region, industry or company.

Company history

One company across states, with totals by year and state. Spelling variants are matched.

Notice details

Everything a state published for one notice, with a link to its source.

Coverage

For each state, how far back the data goes and when it was last updated.

Every tool is read-only. Answers include the state agency and a link to the source for each notice, and notes on what the data can't show.

Questions

What is a WARN notice?

The federal Worker Adjustment and Retraining Notification (WARN) Act generally requires employers with 100 or more employees to give 60 days' notice before a plant closing or mass layoff, including to the state. Several states have their own versions with lower thresholds or longer notice periods. States publish the notices they receive.

Why is a layoff I read about missing?

It may be too small to require a notice, the employer may not have filed yet, the state may publish it later or not at all, or the notice may list a site or facility name instead of the company.

Why don't the totals match news reports?

Notices count the workers affected at sites in each state, while news often reports company-wide numbers. Plans also change after a notice is filed, and an update to a notice isn't counted twice.

How current is it?

We check most states every day, but each state publishes on its own schedule, sometimes days or weeks after a notice is filed. Each answer gives the date the data is current to.

Can it predict layoffs?

No. It reports notices that were filed and can summarize past trends.

Where does the data come from?

Public records published by state workforce agencies; each notice links back to the agency's own list. Collection builds on warn-scraper by Big Local News. See States covered, or get support if something looks wrong.

About DataCEVA

Built by DataCEVA, your partner in data-driven decision making

DataCEVA is a Chicago-based data consulting firm. CEVA stands for Consulting, Engineering, Visualization and Analytics, and we bring them together, with AI, to turn data into decisions. This service is one example.

Consulting

Strategic guidance for informed decisions: data strategy, frameworks and tool selection.

Engineering

A strong foundation: cloud infrastructure, ETL pipelines and data integration.

Visualization

Tableau, Power BI and Looker Studio dashboards that turn complex data into clear insights.

Analytics and AI

Advanced analytics and AI-powered tools that unlock business potential.