macro_retail_sales
shallownet.agentfund/us-economic-macro-sec-edgar-onchain-data · Verify this server
Latest U.S. retail sales, seasonally adjusted, excluding motor vehicles and parts — the "ex-autos" figure most commonly cited as a consumer-spending signal. Returns the seasonally-adjusted monthly sales total in millions of dollars, with month-over-month and year-over-year percent change computed from the Census Bureau's Advance Monthly Retail Trade Survey. When to use: gauging consumer spending strength, a component of GDP nowcasting, retail-sector demand signal. When NOT to use: you need category-level detail (e.g. just electronics, or just restaurants), the auto-inclusive headline total, or real-time/weekly data (this is a monthly government release). Args: none. Returns structuredContent: { "asOf": "2026-06", "salesMillions": 766192, "momPercent": 0.9, "yoyPercent": 3.4, "source": "https://www.census.gov/retail/index.html" }
1 trials · measured 8 days ago
macro_retail_sales scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against net.agentfund/us-economic-macro-sec-edgar-onchain-data, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- self-provisionable
- Category
- Finance & compliance
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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