US consumer-demand signal (retail sales)
US consumer-demand signal (retail sales)
Answeringour last check, 2026-09-24
1 of 1checks answered this week
831 msmedian answer time
$0.05listed price per call
$0.05price it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://consumer.lonestaroracle.xyz/consumer
| Category | Commerce and shopping |
|---|---|
| Provider host | consumer.lonestaroracle.xyz |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 3 from 2 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-09-24 | valid payment request | 402 | $0.05 | 831 ms |
Example input (from the provider)
{
"method": "GET",
"type": "http"
}
Promised output schema (from the provider)
{
"category": "trading",
"description": "US consumer-demand signal \u2014 the demand-side mirror of CyclePulse. Returns headline retail & food-services sales with month and year trend, the core measure (excluding autos and gasoline \u2014 the cleaner underlying-demand read), e-commerce vs restaurant spending, a 13-sector year-over-year breakdown with the strongest and weakest movers, and a plain-English consumer phase (resilient, softening, stalling, or pullback). Use it to read whether the US consumer is accelerating or cooling, gauge discretionary demand and the online-shift, and pair with supply-side (CyclePulse) and macro data. Values are nominal (not inflation-adjusted). Pay-per-call $0.05 in USDC on Base via x402. Data = US Census Advance Retail Trade (MARTS), US government public domain.",
"name": "ConsumerPulse",
"properties": {
"input": {
"properties": {
"method": {
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"properties": {},
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"consumer_phase": "Softening",
"signal": "US consumer demand: Softening. Retail & food-services sales $757B/mo (+0.3% MoM, +4.1% YoY); core ex-autos & gas +3.8% YoY. E-commerce +7.2% YoY (21% of retail); restaurants +5.1% YoY."
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"tags": [
"macro",
"consumer",
"retail-sales",
"spending",
"e-commerce",
"demand",
"real-economy"
],
"type": "object",
"version": "1.0.0"
}