Economic series
Query CPI, PPI, payrolls, unemployment, GDP, jobless claims, and Fed decisions.
Fetch CPI, PPI, payrolls, unemployment, GDP, jobless claims, and Fed decisions. Choose the settlement first print or every revision. Each row keeps its unit, publication time, vintage, and agency source.
from mostlyright import economy rows = economy.series( "cpi", "2024-01-01", "2025-06-01", vintages="all", ) rows[[ "period", "released_value", "knowledge_time", "source", ]]
Read the release, inspect when it was published, and query the value that was available before a historical cutoff.
Query CPI, PPI, payrolls, unemployment, GDP, jobless claims, and Fed decisions.
Read the period, scheduled UTC publication time, and agency for each release.
Return the qualifying first print available by a historical cutoff.
Every row identifies the indicator, period, released value, unit, publication time, vintage, and agency source.
indicator names the series; period states the month, quarter, or decision it describes.released_value stays beside the documented unit used by the source.release_datetime and knowledge_time record when each value became available.Request the qualifying first print or the complete revision history. A later value adds a new vintage instead of replacing the row your historical research used.
# One qualifying first print per period first_prints = economy.series( "cpi", start, end, vintages="settlement", ) # Every value published later all_revisions = economy.series( "cpi", start, end, vintages="all", ) then = economy.snapshot( "cpi", as_of=cutoff, )
Choose the series and vintage policy. Receive the published values with the fields needed to reproduce a historical decision.
Start with inflation, employment, GDP, claims, or a Fed decision.
Request the settlement first print, every revision, or an as-of snapshot.
Keep values, units, publication times, vintage times, and agency sources attached.