Macro Series API: Any BLS time series as normalized JSON with latest value, YoY percent

Any BLS time series as normalized JSON with latest value, YoY percent and prior-period change precomputed — inflation and labor data without the period arithmetic. Free, no key.

Free — no key, no signup, rate-limited to 60 calls per minute per client.

How do you call it?

GET /v1/macro/series — product id macro_series. Over MCP, call answerpool_get with product_id=macro_series.

curl "https://answerpool.io/v1/macro/series?series_id=LNS14000000"

Live call: https://answerpool.io/v1/macro/series?series_id=LNS14000000 · JSON sample: /v1/samples/macro_series

What does the answer look like?

A representative response, the same static sample served at /v1/samples/macro_series.

points

{
 "as_of": "2026-09-03T03:00:00Z",
 "series_id": "LNS14000000",
 "count": 2,
 "latest": {
  "year": 2026,
  "period": "M07",
  "period_name": "July",
  "value": 4.1
 },
 "yoy_pct": -2.38,
 "change_from_prior_period": -0.1,
 "points": [
  {
   "year": 2026,
   "period": "M07",
   "period_name": "July",
   "value": 4.1
  },
  {
   "year": 2026,
   "period": "M06",
   "period_name": "June",
   "value": 4.2
  }
 ],
 "source": "U.S. Bureau of Labor Statistics (api.bls.gov)",
 "disclaimer": "Data from the U.S. Bureau of Labor Statistics, retrieved at as_of. BLS.gov cannot vouch for the data or analyses derived from these data after retrieval. Not investment advice.",
 "refresh_after": "2026-09-18T00:00:00.000Z"
}

How fresh is it, and where does the data come from?

The fastest source behind this answer can change daily, so every response carries a refresh_after timestamp — right now it would be 2026-09-18T00:00:00.000Z. Schedule the next call on that value rather than on a guess.

• US Bureau of Labor Statistics (US federal public domain) — upstream: https://api.bls.gov/publicAPI/v2

Method version 0.1.0 · serving cache 1 day · every response carries a result_id you can resolve at /v1/provenance.

When should you use it?

You have a series id (see /v1/macro/indicators) and want clean points + derived stats.

What you skip building

• BLS response parsing
• YoY period-matching arithmetic

When should you not use it?

All headline indicators at once — /v1/macro/snapshot.

Where else can you find this?

• Catalog entry (JSON, free)
• OpenAPI schema — input and output types, prices, the 402 flow
• llms.txt — every product in one plain-text document