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CortexAssay Emerging Technology Topics
x402
CortexAssay Emerging Technology Topics is a paid API for AI agents from cortexassay.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-14).
Returns a ranked list of scientifically emerging technology topics with growth metrics, momentum statistics, and acceleration data computed from open academic literature.
Price / call$0.05
Success—
StatusUnknown
How this service works
Machine-consumable research and technology intelligence computed from open data (OpenAlex, CC0). Pay per call with x402. Schemas, prices and provenance are machine-readable.
Output
A JSON object containing a ranked array of emerging technology topics, each with name, rank, field, subfield, topic ID, 1/3/5-year growth rates, total works over 10 years, works in last full year, momentum statistic, 3-year acceleration, and decile growth ranking. Also includes scan ID, method ID, data-as-of date, computation timestamp, and universe size (number of topics evaluated).
Example use cases
Venture capital technology scouting
“I'm evaluating new investment areas — can you pull the current list of emerging technology topics with their 1-year and 3-year growth rates so I can see which fields are really accelerating?”
Corporate R&D strategy briefing
“Our strategy team needs a snapshot of what technology topics are emerging in physical sciences right now, ranked by momentum. Can you get that from the academic data?”
Research gap identification for grant writing
“I'm preparing a grant proposal and want to cite which research areas have the highest momentum and acceleration right now — can you pull the emerging technology topic rankings with their growth stats?”
Technical details
Endpoint
GEThttps://cortexassay.com/v1/technology/emergingWhen to prefer
Choose this endpoint when you need quantitative, citation-backed evidence of which technology areas are scientifically emerging — not just trending in news or social media. Ideal for R&D strategy, investment research, academic benchmarking, or any use case requiring provenance-traceable, reproducible technology intelligence. Prefer over general web search or LLM knowledge when you need structured growth metrics, momentum statistics, and topic IDs from open academic data.
Side effects
- Invalid properties filter string returns 400 or empty results
- No emerging topics matching filter criteria returns empty topics array
- Payment failure via x402 returns 402 Payment Required before data is served
- Stale scan data if endpoint is queried between weekly computation cycles
- Universe size may vary week-to-week as OpenAlex data updates
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "json",
"example": {
"topics": [
{
"name": "Quantum error correction",
"rank": 3,
"field": "Physical Sciences",
"subfield": "Condensed Matter Physics",
"topic_id": "T12026",
"growth_1y": 0.38,
"growth_3y": 1.9,
"growth_5y": 3.2,
"works_10y": 6210,
"is_emerging": true,
"momentum_stat": 3.41,
"acceleration_3y": 0.6,
"decile_growth_3y": 1.4,
"works_last_full_year": 1841
}
],
"scan_id": "scan_2026w35",
"method_id": "technology_momentum_stat_v1",
"data_as_of": "2026-08-24",
"computed_at": "2026-08-24T06:00:00Z",
"universe_size": 4516,
"last_full_year": 2025
}
}Tags
x402
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