Search US WARN Act mass-layoff notices across 48 states, 1988 to today, by employer name, state, date range and minimum headcount (filters combine with AND; at least one is required). Returns matched_notices, matched_workers_affected and up to limit notices, newest notice_date first, each with id, state, company, location, employees_affected, notice_date, effective_date, notice_type and first_seen. Read-only, no key. For only the newest ~14 days use latest_layoff_notices; for one employer's whole record use employer_layoff_history.

The rolling feed of newly published WARN notices (the last ~14 days as the agencies posted them), newest notice_date first, optionally one state. Use this for 'what layoffs were announced recently'. Returns count_in_window plus up to limit notices in the same row shape as search_layoff_notices; for older dates or an employer filter use search_layoff_notices instead.

Every WARN notice one employer has filed, in any covered state, back to 1988: notice count, total workers affected, states, first and latest activity. Returns employers_matched, employers (up to 10 distinct canonical names, most workers affected first) and notices_for_best_match (up to limit notices of the top employer, newest notice_date first). For a date- or state-bounded question use search_layoff_notices.

Monthly WARN notice counts and workers affected. With no state, returns a national leaderboard by state in series (grouped_by=state, most workers affected first); with a state, the month-by-month series for it (grouped_by=month, oldest first). Optionally restrict to one four-digit year. totals carries overall notices and workers for the selection; notices without a published headcount count 0 workers. Aggregates only — use search_layoff_notices for the notices.

Change log of the dataset itself: what differed between consecutive daily builds of the WARN notice table, since 2026-08-31. Each change is one of 'amended' (a tracked field of an existing notice changed — employees_affected, effective_date, location, notice_type, company, notice_date), 'row_absent' (a notice stopped appearing) or 'row_returned' (an absent notice came back). A change can come from the state agency amending or withdrawing a notice OR from an improvement to this project's parser; the log records the observation, never the cause, and cause_class labels only what is mechanically distinguishable (field_populated, field_cleared, format_only, value_changed, unknown). Filters combine with AND. Returns matched_changes, by_change_type, by_cause_class, log_covers_from/to, and up to limit changes newest observed_date first, each with id, state, company, notice_date, change_type, cause_class, field, old_value, new_value. Not a search for notices: use search_layoff_notices for notices and employer_layoff_history for one employer's full record.

Freshness and coverage of the dataset itself: when it was last rebuilt, which states are flagged stale, the license, and the raw endpoints. Call this before quoting a number so you can attribute it correctly.