StationFX 10-Year U.S. Treasury Yield

x402

StationFX 10-Year U.S. Treasury Yield is a paid API for AI agents from stationfx.com, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-02).

Returns daily historical and current 10-year U.S. Treasury constant maturity yield data with derived analytics including z-scores, percentile ranks, and rolling averages.

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Benchmark long-term U.S. government borrowing rate. Anchors mortgage rates, corporate bond yields, and equity discount rates. Widely used as the risk-free rate in financial models. Critical for duration risk, equity valuation, and global capital flow analysis. Daily frequency, 60+ year history.

Output

Returns an array of daily observations, each containing the date, raw yield value, month-over-month and year-over-year absolute and percentage changes, 12-month and 5-year z-scores, 5-year percentile rank, 3-month and 12-month rolling averages, and a flag indicating whether the yield is above the long-run trend.

Example use cases

DCF model risk-free rate lookup

“I need today's 10-year Treasury yield to use as the risk-free rate in my discounted cash flow model — can you grab the latest value along with the year-over-year change?”

Interest rate trend monitoring

“Pull the 10-year Treasury yield data for the past 12 months and tell me whether it's currently above its long-run trend and where it sits in its 5-year percentile range.”

Historical yield analysis for a report

“I'm writing a macro research report — can you get daily 10-year Treasury yield data from January 1, 2020 to December 31, 2023 including the rolling 12-month average?”

Technical details

Endpoint

GEThttps://stationfx.com/economic-data/interest-rates/market-yield-on-u-s-treasury-securities-at-10-year-constant-maturity-quoted-on-an-investment-basis?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need authoritative, analytics-enriched 10-year U.S. Treasury yield data with pre-computed z-scores, percentile ranks, and trend signals — particularly for financial modeling, duration risk analysis, equity valuation, or macro research where context around the yield level matters as much as the raw number. Prefer this over raw FRED data pulls when you want derived analytics out of the box without post-processing.

Side effects

Invalid date format returns an error — dates must be YYYY-MM-DD
date_from after date_to returns empty or error response
Requesting future dates returns no data
Invalid fmt enum value may cause a bad request error
Payment failure (x402) if USDC balance is insufficient

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "type": "json",
  "schema": {
    "type": "object",
    "properties": {
      "data": {
        "type": "array",
        "items": {
          "type": "object",
          "properties": {
            "date": {
              "type": "string",
              "description": "Observation date YYYY-MM-DD"
            },
            "value": {
              "type": "number",
              "description": "Raw observed value in series units"
            },
            "mom_pct": {
              "type": "number",
              "description": "Month-over-month % change"
            },
            "yoy_pct": {
              "type": "number",
              "description": "Year-over-year % change"
            },
            "zscore_5y": {
              "type": "number",
              "description": "Z-score relative to trailing 5 years"
            },
            "mom_change": {
              "type": "number",
              "description": "Month-over-month absolute change"
            },
            "yoy_change": {
              "type": "number",
              "description": "Year-over-year absolute change"
            },
            "zscore_12m": {
              "type": "number",
              "description": "Z-score relative to trailing 12 months"
            },
            "above_trend": {
              "type": "integer",
              "description": "1 if value is above long-run trend, else 0"
            },
            "pct_rank_5y": {
              "type": "number",
              "description": "Percentile rank over trailing 5 years (0-100)"
            },
            "rolling_3m_avg": {
              "type": "number",
              "description": "3-month rolling average"
            },
            "rolling_12m_avg": {
              "type": "number",
              "description": "12-month rolling average"
            },
            "trend_direction": {
              "type": "integer",
              "description": "Trend: 1 rising, -1 falling, 0 flat"
            }
          }
        },
        "description": "Observations ordered by date ascending"
      },
      "meta": {
        "type": "object",
        "description": "Series metadata: source_key (FRED series ID), units, frequency (D/W/M/Q/A), date_from, date_to, fields"
      }
    },
    "description": "Station f(x) response with metadata and pre-computed derived metrics"
  },
  "example": {
    "data": [
      {
        "date": "2024-01-01",
        "value": 5.33,
        "mom_pct": 0,
        "yoy_change": 0.5,
        "zscore_12m": 1.2,
        "trend_direction": 1
      }
    ],
    "meta": {
      "frequency": "D",
      "source_key": "DGS10"
    }
  }
}

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