Top 20 AI/deep-tech product concepts synthesized from today's research papers (a
Top 20 AI/deep-tech product concepts synthesized from today's research papers (arXiv, HuggingFace Blog, lab blogs). Ranked by opportunity score. Includes MVP path, revenue model, lead intel, and source papers.
Answeringour last check, 2026-10-21
1 of 1checks answered this week
460 msmedian answer time
$1.00listed price per call
$1.00price 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/top
| Category | Commerce and shopping |
|---|---|
| Provider host | stationfx.com |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 2 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 | $1.00 | 460 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {},
"type": "http"
}
Promised output schema (from the provider)
{
"$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"
}