Live US interest rates API — Fed funds, SOFR & more.
Your model memorized a rate from training. This is the CURRENT US benchmark money-market rates — EFFR, SOFR, OBFR — live from the New York Fed, each with its effective date, so an agent quotes today's number instead of last year's.
The call
Keyless over MCP, or one REST call with a free key. Every datapoint is provenance-stamped and citeable.
# REST (free key)
curl -H "X-API-Key: $KEY" "https://dynamicfeed.ai/interest-rates"
# MCP (keyless) — point any client at https://dynamicfeed.ai/mcp, then call:
interest_rates()
Sample response
{ "code": "EFFR", "name": "Effective Federal Funds Rate", "rate_pct": 3.62,
"effective_date": "2026-06-04", "country": "US",
"provenance": { "source": "Federal Reserve Bank of New York" } }
Why live data
Benchmark rates move on the Fed's schedule, not your model's training cutoff — and a wrong rate cascades through every downstream calculation. One keyless call returns the current EFFR, SOFR, OBFR and related reference rates straight from the New York Fed, with the effective date so you know exactly how current it is.
Use it for
- Quote the current Fed funds / SOFR rate instead of a memorized one
- Ground finance and lending assistants in today's benchmark
- Feed live reference rates into pricing, discounting or risk models
- Pair with china_data for a cross-economy macro snapshot
FAQ
Which rates are covered?
US money-market benchmarks from the New York Fed: EFFR (the Fed funds rate), SOFR, OBFR, BGCR and TGCR.
How current is it?
The latest published rate, with its effective_date. Rates publish each business morning; we serve them from a warm cache so the call is instant.
Is it keyless?
The MCP endpoint is keyless; the REST API uses a free key. US-government public-domain data.