Complete set of AI/deep-tech product concepts synthesized from today's research
Complete set of AI/deep-tech product concepts synthesized from today's research papers. All scoring fields, MVP paths, revenue models, lead intel, and source papers. Concept count varies by run. Up to ~5 MB — set read timeout >= 30s.
Answeringour last check, 2026-10-21
1 of 1checks answered this week
462 msmedian answer time
$5.00listed price per call
$5.00price 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://stationfx.com/tech-scout/syntheses/full
| Category | Commerce and shopping |
|---|---|
| Provider host | stationfx.com |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-21 | valid payment request | 402 | $5.00 | 462 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"description": "HTTP method. Always GET for StationFX query endpoints",
"enum": [
"GET",
"HEAD",
"DELETE"
],
"type": "string"
},
"queryParams": {
"description": "No query parameters required for this endpoint.",
"properties": {},
"type": "object"
},
"type": {
"const": "http",
"description": "Always \"http\" for HTTP endpoints",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"description": "Station f(x) response with metadata and pre-computed derived metrics",
"properties": {
"data": {
"description": "Observations ordered by date ascending",
"items": {
"properties": {
"above_trend": {
"description": "1 if value is above long-run trend, else 0",
"type": "integer"
},
"date": {
"description": "Observation date YYYY-MM-DD",
"type": "string"
},
"mom_change": {
"description": "Month-over-month absolute change",
"type": "number"
},
"mom_pct": {
"description": "Month-over-month % change",
"type": "number"
},
"pct_rank_5y": {
"description": "Percentile rank over trailing 5 years (0-100)",
"type": "number"
},
"rolling_12m_avg": {
"description": "12-month rolling average",
"type": "number"
},
"rolling_3m_avg": {
"description": "3-month rolling average",
"type": "number"
},
"trend_direction": {
"description": "Trend: 1 rising, -1 falling, 0 flat",
"type": "integer"
},
"value": {
"description": "Raw observed value in series units",
"type": "number"
},
"yoy_change": {
"description": "Year-over-year absolute change",
"type": "number"
},
"yoy_pct": {
"description": "Year-over-year % change",
"type": "number"
},
"zscore_12m": {
"description": "Z-score relative to trailing 12 months",
"type": "number"
},
"zscore_5y": {
"description": "Z-score relative to trailing 5 years",
"type": "number"
}
},
"type": "object"
},
"type": "array"
},
"meta": {
"description": "Series metadata: source_key (FRED series ID), units, frequency (D/W/M/Q/A), date_from, date_to, fields",
"type": "object"
}
},
"type": "object"
},
"type": {
"description": "Always \"json\" for Deep Tech Scout endpoints.",
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}