Every consumer endpoint is probed automatically after each deploy and classified as
ok, gap (responded, but empty or missing expected fields),
slippage (data older than that endpoint's freshness budget),
drift (response shape changed — a breaking change for typed clients), or
breakage (did not respond). Reads
/api/v1/status/api-health live —
free, no key required. Shape-stability policy is on the
changelog.
Loading live endpoint health…
Source freshness
This section reads /api/v1/sources/status live.
Data through is the newest reference period inside the source — for monthly
releases it legitimately trails today (the BLS CPI report released mid-July carries June
observation dates). Ingested is when the pipeline last pulled the source — that
is the freshness signal.
BLS appears as four rows, on purpose. BLS publishes its consumer-price,
producer/import-price, employment and federal job-turnover releases on different calendars, so
each BLS row reports the reference period of its own release schedule. One combined “data
through” date would state the truth about the fastest series while implying it of the
slowest. In the first half of a month the rows legitimately show different reference
months — that is the release calendar, not drift. The employment row includes the government
payrolls behind the free workforce trends. They share one ingest timestamp because one fetch either
succeeded or it did not.
When an upstream source is down, the published figures do not move — and nothing is
lost. A failed fetch stores nothing and deletes nothing, so the last published values
for that source keep serving every downstream measure. Recovery is automatic: the next
successful pull re-reads the source's full history, picking up anything released
or revised during the outage, so no observation is skipped by having been unreachable
at the moment we asked for it. A source in that state shows an unchanged “data
through” date here until it returns.