Next free-source hunt
We check for new free data every weekday.
Datasets / Money Flows
markets.newyorkfed.org/

New York Fed Markets Data API

Freeauth: noneProvider terms#money-flows#real-time#time-series#macro-economic#flows✓ verified Nov 1, 2026

New York Fed Markets Data API

Public REST data for New York Fed reference rates, Desk operations, SOMA holdings, primary-dealer statistics and related market activity, with dates, rates, volumes, operation amounts and instrument details in endpoint-specific responses. JSON and XML are widely supported, with CSV, Excel or PDF on selected endpoints; no key is needed.

Required Attribution:

"© [year] Federal Reserve Bank of New York. Content from the New York Fed subject to the Terms of Use at newyorkfed.org."

Coverage

Coverage centers on U.S. dollar funding markets and Federal Reserve Bank of New York market operations, while available history and publication frequency vary by endpoint. The documentation does not state a unified history start, request cap or rate limit.

Verdict

A direct money-market and central-bank-operations signal for a trading or AI agent tracking funding conditions, reference rates, liquidity operations and Federal Reserve holdings. Publication schedules and histories differ across endpoint families, and beta data are not regularly maintained. Reference rates and other content can be revised or withdrawn, so retain effective dates, revision indicators and retrieval timestamps. Redistribution must preserve the New York Fed's stated attribution and permissions.

Get the free weekly email

Free weekly email of newly verified free data. Unsubscribe by emailing us.

Use in your agent

Load recent New York Fed SOFR data into pandas and Parquet. Checked against the provider's documentation on Nov 1, 2026.

Raw skill file (/skills/ny-fed-markets-data-api.md)Also in our MCP server: call get_ingestion_skill with {"slug": "ny-fed-markets-data-api"}.

Access

  • No account or key is required for the checked public Markets Data API endpoint.
  • Use of API data is subject to the New York Fed Terms of Use and its attribution conditions.

Request

bash
curl 'https://markets.newyorkfed.org/api/rates/secured/sofr/last/5.json'

Format

JSON with effective date, rate type, percent rate, distribution percentiles, transaction volume in billions and a revision indicator.

Load into pandas and Parquet

Needs Python 3 with requests, pandas and pyarrow.

python
"""Five recent New York Fed SOFR observations -> pandas -> Parquet."""
import requests
import pandas as pd

URL = "https://markets.newyorkfed.org/api/rates/secured/sofr/last/5.json"
r = requests.get(URL, timeout=30)
r.raise_for_status()
df = pd.DataFrame(r.json()["refRates"])
df["effectiveDate"] = pd.to_datetime(df["effectiveDate"])
df.to_parquet("nyfed_sofr.parquet", index=False)
print(len(df), "SOFR observations", df["effectiveDate"].min().date(), "to",
      df["effectiveDate"].max().date(), "latest rate", df.iloc[0]["percentRate"])

Run by us on 2026-11-01 (python 3.13.5 | pandas 3.1.0 | pyarrow 26.0.0 | requests 2.34.2). Result: 5 SOFR observations 2026-10-23 to 2026-10-29 latest rate 3.94

Limits

  • Rate limit: Not stated.
  • No unified response cap is stated in the API documentation.
  • Formats and parameters vary by endpoint.

Quirks

  • The last-N endpoint returns newest first; sort by effectiveDate before time-series calculations.
  • Keep revisionIndicator because published reference-rate observations may be corrected.
  • Beta endpoints are for testing and are not regularly maintained.

Terms and attribution

  • The provider permits automated access and business use subject to its Terms of Use.
  • Copies and distributions must retain source identifiers and the prescribed attribution; modifications must be labelled.

Sources

Information and education only. Not financial, investment, legal or tax advice. Listings can be inaccurate, incomplete or out of date and are provided "as is". Free tiers, limits and licenses belong to each provider and can change, so check the provider's own terms before you rely on them. Terms & Disclaimer