{"slug":"2s-io-api-econ-fred-vintage-96c46a","title":"Point-in-time (vintage) economic data from FRED's ALFRED archive — what an econo","host":"2s.io","method":"GET","resource":"https://2s.io/api/econ/fred-vintage","category":"search","description":"Point-in-time (vintage) economic data from FRED's ALFRED archive — what an economic figure was AS FIRST REPORTED / as known on a past date, before later revisions. Give a seriesId (e.g. GDP, GDPC1, PAYEMS, INDPRO) and an asOf date to get the observations exactly as they stood on that date; omit asOf","price_listed":0.0042,"price_asked":0.0042,"state":"answering","state_label":"Answering","checks_7d":1,"answered_7d":1,"latency_ms_median":601,"reported_calls_30d":87,"reported_payers_30d":3,"networks":["eip155:8453","solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"],"badge":"unverified","paid_checks_7d":0,"paid_ok_7d":0,"example_input":{"method":"GET","queryParams":{"asOf":"2020-06-01","limit":2,"seriesId":"GDP"},"type":"http"},"output_schema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"input":{"properties":{"method":{"const":"GET"},"queryParams":{"properties":{"asOf":{"description":"Vintage date YYYY-MM-DD (values as known then). Omit for current.","type":"string"},"end":{"description":"Latest observation date YYYY-MM-DD.","type":"string"},"limit":{"description":"Max observations (1-100, default 12).","type":"integer"},"seriesId":{"description":"FRED series id, e.g. GDP, GDPC1, PAYEMS.","type":"string"},"start":{"description":"Earliest observation date YYYY-MM-DD.","type":"string"}},"required":["seriesId"]},"type":{"const":"http"}},"required":["type","method","queryParams"],"type":"object"}},"required":["input"],"type":"object"},"history":[{"day":"2026-10-24","reachable":true,"status":402,"valid_402":true,"asked_usdc":0.0042,"price_match":true,"latency_ms":601,"error":null}],"description_full":"Point-in-time (vintage) economic data from FRED's ALFRED archive — what an economic figure was AS FIRST REPORTED / as known on a past date, before later revisions. Give a seriesId (e.g. GDP, GDPC1, PAYEMS, INDPRO) and an asOf date to get the observations exactly as they stood on that date; omit asOf to get the current (latest-revised) values. Also returns the series' vintage (revision) dates — every date the series was revised. Free, public-domain (FRED). Critical for honest backtesting and macro research: it eliminates look-ahead bias (e.g. GDP for 2020Q1 was first reported far lower than today's revised figure). No LLM and no real-time API gives this — it's the archived state of the data through time. Pair with econ.fred (current series) and econ.fred-releases (release calendar).","last_updated":"2026-10-22T18:36:55.593Z","schemes":["exact"]}