📈 OFR Short-Term Funding Monitor Scraper

🚀 Turn the OFR Short-Term Funding Monitor into clean dated rows. Every observation becomes one record with mnemonic, series name, date, and value, ready for your model or dashboard.

🕒 Last updated: 2026-06-05 · 📊 11 fields per record · 442 series · repo rates, money market funds, federal funds, and Treasury yields

The U.S. Office of Financial Research publishes the Short-Term Funding Monitor, a public data service that tracks money-market activity across repo, money market funds, and benchmark interest rates. This Actor reads that service and hands you back one tidy row for every observation, so a multi year rate series becomes a stack of dated rows you can chart, join, or load straight into a notebook.

Coverage spans DVP, GCF, and tri-party repo rates, money market fund investments, the effective federal funds rate, the overnight bank funding rate, and Treasury constant maturity yields. Fetch a single known series by its mnemonic, add as many extra mnemonics as you like, and narrow the window with start and end dates.

🎯 Target Audience	💡 Primary Use Cases
Fixed income analysts	Track repo and funding rates over time
Economists and researchers	Build money-market and rate panels
Quants and data scientists	Feed time series into models and backtests
Risk and treasury teams	Monitor short-term funding conditions
Journalists and educators	Pull official figures with full provenance

📋 What the OFR Short-Term Funding Monitor Scraper does

This Actor talks to the public OFR Short-Term Funding Monitor API and returns money-market observations as flat rows. For each series it reads the full metadata and the dated value array, then emits the most recent observations first, each carrying the mnemonic, series name, description, subtype, frequency, and vintage. You can target one mnemonic from a curated list, add any number of custom mnemonics, and filter by a date range.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

Field	Type	Description
mnemonic	select	A known OFR series mnemonic. Defaults to the DVP overnight/open repo rate.
customMnemonics	array	Any number of extra mnemonics to fetch alongside the selected one.
maxItems	integer	Cap on observations returned. Free plan is limited to 10.
startDate	string	Earliest observation date as YYYY-MM-DD. Optional.
endDate	string	Latest observation date as YYYY-MM-DD. Optional.

Example 1, one known series

{
    "mnemonic": "REPO-DVP_AR_OO-P",
    "maxItems": 50
}

Example 2, several series within a date range

{
    "mnemonic": "REPO-TRI_AR_OO-P",
    "customMnemonics": ["REPO-GCF_AR_OO-P", "TYLD-TCMR-10Yr-A"],
    "startDate": "2025-01-01",
    "endDate": "2026-01-01",
    "maxItems": 300
}

⚠️ Good to Know: Observations are emitted newest first, and series are interleaved so a mix of mnemonics is represented under the item cap. Missing values, which the OFR uses for non-trading days or confidential periods, are skipped so every value is a usable number. Daily series can run thousands of observations, so set maxItems to keep runs focused.

📊 Output

Each record is a single observation with full series provenance.

Field	Type	Description
🔖 mnemonic	string	OFR series mnemonic, for example REPO-DVP_AR_OO-P.
📌 seriesName	string	Human readable series name.
📝 description	string	Full source description of what the series measures.
🏷 subtype	string	Series subtype, for example Interest Rate.
🧭 subsetting	string	How the series is broken out, for example Tenor.
⏱ frequency	string	Series frequency, daily or monthly.
🗂 vintage	string	Vintage tag such as Preliminary when the source provides one.
📅 date	string	Observation date in YYYY-MM-DD.
🔢 value	number	The observation value, a rate or a dollar amount.
🕒 scrapedAt	string	ISO timestamp when the row was collected.
❌ error	string	Null on success, message on failure.

Real sample records

{
    "mnemonic": "REPO-DVP_AR_OO-P",
    "seriesName": "DVP Service Average Rate: Overnight/Open (Preliminary)",
    "description": "Volume-weighted mean interest rate of overnight and open repurchase agreements in the Fixed Income Clearing Corporation's DVP Service",
    "subtype": "Interest Rate",
    "subsetting": "Tenor",
    "frequency": "Daily",
    "vintage": "Preliminary",
    "date": "2026-06-03",
    "value": 3.63,
    "scrapedAt": "2026-06-05T16:30:43.798Z",
    "error": null
}

{
    "mnemonic": "REPO-TRI_AR_OO-P",
    "seriesName": "Tri-Party Average Rate: Overnight/Open (Preliminary)",
    "description": "Volume-weighted mean interest rate of overnight and open repurchase agreements that were settled in tri-party repo",
    "subtype": "Interest Rate",
    "subsetting": "Tenor",
    "frequency": "Daily",
    "vintage": "Preliminary",
    "date": "2026-06-02",
    "value": 3.62,
    "scrapedAt": "2026-06-05T16:30:43.856Z",
    "error": null
}

{
    "mnemonic": "TYLD-TCMR-10Yr-A",
    "seriesName": "10-Year Treasury Constant Maturity Rate",
    "description": "10-Year Treasury Constant Maturity Rate. Yields are interpolated by the Treasury from the daily yield curve.",
    "subtype": "Interest Rate",
    "subsetting": "None",
    "frequency": "Daily",
    "vintage": "",
    "date": "2026-06-03",
    "value": 4.49,
    "scrapedAt": "2026-06-05T16:30:43.936Z",
    "error": null
}

✨ Why choose this Actor

• One row per observation, no nested arrays to unpack.
• Full provenance on every row, so you always know the series and what it measures.
• Works keyless against the public OFR API, no account or token to manage on the source side.
• Curated list of known mnemonics plus open custom input for any series.
• Clean numeric values with plain dates, ready for charts and models.

📈 How it compares to alternatives

Approach	Provenance per row	Date filtering	Setup effort
This Actor	Yes, series metadata included	Yes, start and end dates	Pick a mnemonic and run
Manual API calls	You build it yourself	You build it yourself	Write and maintain code
Spreadsheet downloads	Often lost	Manual	Manual and repetitive

🚀 How to use

1. Sign up for a free Apify account using this link.
2. Open the OFR Short-Term Funding Monitor Scraper in the Apify Console.
3. Pick a mnemonic from the dropdown and add any custom mnemonics you want.
4. Set maxItems and an optional startDate and endDate, then click Start.
5. Watch the run finish and open the results to view or pull your observations.

💼 Business use cases

Funding and rates research

Goal	How this helps
Track repo conditions	Pull DVP, GCF, and tri-party rates into one table
Compare benchmarks	Collect federal funds and Treasury yields side by side

Quant and modeling

Goal	How this helps
Feature engineering	Turn long history series into dated training rows
Backtesting	Align observations by date across series

Risk and treasury

Goal	How this helps
Liquidity monitoring	Follow money market fund balances over time
Stress signals	Watch short-term rate moves around quarter ends

Content and education

Goal	How this helps
Data journalism	Cite official figures with series names and dates
Teaching	Hand students clean, sourced money-market series

🔌 Automating OFR Short-Term Funding Monitor Scraper

Connect runs to Make, Zapier, Slack, Airbyte, GitHub, or Google Drive through the Apify integrations. Schedule a daily run to refresh a repo rate panel, post new observations to a Slack channel, or sync results into a Google Sheet for a live dashboard.

🌟 Beyond business use cases

• Research: assemble reproducible money-market datasets with full provenance for papers.
• Personal: track the funding rates you care about in a private dashboard.
• Non-profit: monitor public financial-stability indicators from a government source.
• Experimentation: prototype rate models without writing API plumbing.

🤖 Ask an AI assistant

Drop your results into ChatGPT, Claude, Perplexity, or Microsoft Copilot and ask it to summarize trends, compute spreads between rates, or compare series across tenors.

❓ Frequently Asked Questions

What is the OFR Short-Term Funding Monitor? It is a public data service from the U.S. Office of Financial Research that tracks money-market activity, including repo rates, money market funds, and benchmark interest rates.

Do I need an API key or account on the OFR? No. The OFR API is public and keyless. You only need an Apify account to run this Actor.

How do I find a mnemonic? Browse the OFR series catalog at data.financialresearch.gov, or pick one from the dropdown. Mnemonics look like REPO-DVP_AR_OO-P or TYLD-TCMR-10Yr-A.

Can I fetch more than one series at once? Yes. Pick one in the dropdown and add any number of extra mnemonics in the custom field. They are fetched together.

How does the date filter work? Set startDate and endDate as YYYY-MM-DD. Only observations within that range are returned. Leave them empty for full history.

In what order are observations returned? Newest first within each series, and series are interleaved so a mix of mnemonics is represented under the item cap.

How many observations can I get? Free plans return up to 10. Paid plans can return up to 1,000,000 per run.

Why are some dates missing from a series? The OFR records missing values for non-trading days or periods where data is withheld to protect confidential information. Those entries are skipped so every value is usable.

What does the value field represent? A rate in percent for interest rate series, or a dollar amount for money market fund balances, depending on the series.

What is a vintage? Some series carry a tag like Preliminary that marks the data revision stage. The field appears when the source provides one.

Which families of series are covered? DVP, GCF, and tri-party repo, money market funds, federal funds and overnight bank funding rates, and Treasury constant maturity yields, among others, across more than 400 mnemonics.

Is the value always numeric? Yes. Missing and non numeric entries are skipped so every value is a usable number.

🔌 Integrate with any app

Use the Apify API, webhooks, and scheduler to wire results into your own stack, or trigger downstream jobs whenever a run completes.

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🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with the U.S. Office of Financial Research or the U.S. Treasury. Only publicly available data is collected.