StationFX 3-Month Treasury Bill Rate (Secondary Market, Discount Basis) 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).
Retrieves daily 3-month Treasury bill secondary market rate on a discount basis, the short-rate input used in the NY Fed recession probability model and the 10Y-3M yield spread.
Short-term risk-free rate based on 3-month Treasury bills. Used as the short rate in the NY Fed recession probability model. Liquid, minimal credit risk. Key input for the 10Y-3M yield spread, which has the strongest historical recession prediction record. Daily frequency.
Returns a JSON array of daily observations, each containing the raw rate value, month-over-month and year-over-year absolute and percentage changes, trailing 5-year and 12-month z-scores, percentile rank over 5 years, 3-month and 12-month rolling averages, and an above-trend binary flag. When fmt=toon is specified, returns a compact agent-friendly representation.
GEThttps://stationfx.com/economic-data/interest-rates/3-month-treasury-bill-secondary-market-rate-discount-basis?utm_source=zero.xyzChoose this endpoint when you need the short end of the U.S. yield curve — specifically the 3-month T-bill rate on a discount basis — for recession probability modeling (NY Fed model), yield spread calculations (10Y-3M), or any analysis requiring a liquid, near-risk-free short rate with pre-computed statistical context (z-scores, percentile ranks, rolling averages). Prefer this over generic FRED lookups when you want enriched derived metrics alongside the raw rate in a single call.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"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": "M",
"source_key": "TB3MS"
}
}
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