Docs/Sources/Benchmark Rate Grounding Data

Benchmark Rate Grounding Data

Get LIBOR Replacement Benchmark Rates

OperationalCredits 2 per callp50 438msFinance

Overview

Benchmark Rate provides the current values for the key risk-free reference rates used in global financial markets. These rates replaced LIBOR and are used for derivatives, loans, mortgages, and other financial contracts. Data is refreshed daily from FRED.

Live Test Benchmark Rate Grounding Data Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as BenchmarkRateGroundingData. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

Tool call
{
  "name": "BenchmarkRateGroundingData",
  "arguments": {
    "rate": "SOFR"
  }
}

You do not name the tool yourself; the model picks it. Asking about SOFR in the terms this source covers is enough for it to reach for BenchmarkRateGroundingData on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

ArgumentTypeDescription
rateRequiredstringThe benchmark rate to retrieve
SOFRSONIAESTRTONASARON

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

Result
{
  "status": "ok",
  "error": null,
  "data": {
    "rate": "SOFR",
    "name": "Secured Overnight Financing Rate",
    "currency": "USD",
    "region": "United States",
    "administrator": "Federal Reserve Bank of New York",
    "value": 4.32,
    "date": "2026-02-04",
    "lastUpdated": "2026-02-05T05:00:00.000Z",
    "change1d": -0.01,
    "changeDirection": "down",
    "previousValue": 4.33,
    "previousDate": "2026-02-03"
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

FieldTypeExampleDescription
ratestringSOFRBenchmark rate code (SOFR, SONIA, ESTR, TONA, SARON)
namestringSecured Overnight Financing RateFull name of the benchmark rate
currencystringUSDCurrency denomination of the benchmark rate
regionstringUnited StatesGeographic region where the rate applies
administratorPremiumstringFederal Reserve Bank of New YorkInstitution or entity administering the benchmark rate
valuenumber4.32Current benchmark rate percentage value
datestring2026-02-04Date of the benchmark rate value (YYYY-MM-DD format)
lastUpdatedPremiumstring2026-02-05T05:00:00.000ZLast update timestamp in ISO 8601 format
change1dPremiumnumber-0.01Rate change from previous day
changeDirectionstringdownDirection of daily change: up, down, or unchanged
previousValuePremiumnumber4.33Previous day's rate value
previousDatePremiumstring2026-02-03Previous data date (YYYY-MM-DD format)

Why ground on it

A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.

Point an evaluation at name: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

StatusWhat it means
400 / 422The arguments did not validate. The message names the offending one.
401The OAuth session is invalid or expired — reconnect the server.
403Blocked by a key restriction or an IP allow-list. Never a bad identity.
404This source is not part of VerveContext. Check the catalog.
429Out of credits, or a brief rate limit. The message tells them apart.

A call costs 2 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Floating Loan Servicing
Lending software recalculates monthly interest charges on adjustable corporate credit facilities by fetching the latest published SOFR or SONIA figures.
Interest Rate Swaps
To price floating-leg derivative contracts, quantitative analysts pull current SARON and ESTR levels to mark overnight indexed swaps to market.
Treasury Risk Monitoring
Treasury teams monitor rate shifts across dollar, pound, and euro credit lines by reading each day's movement direction.
Settlement Contract Auditing
Before settling cross-currency accounts, compliance engines verify applied borrowing rates against official published values for the matching transaction date.

Other ways to use Benchmark Rate Grounding Data

Set up Benchmark Rate Grounding Data on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.

Call it as a REST APIOne HTTPS endpoint and an x-api-key header, with SDKs for Node, Python and .NET.APIVerve →Reference →
Give it to an AI agentConnect over MCP and your agent calls it as a native tool — Claude, Cursor, ChatGPT.VerveKit →Reference →
Google Sheets or ExcelA =VERVE() formula fills a column — no script, no export, recalculates in place.VerveSheets →Reference →

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