# CortexAssay Technology Momentum

> CortexAssay Technology Momentum is a paid API for AI agents from cortexassay.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).

Computes a momentum score and trend analysis for a given technology topic using academic publication and citation growth data from OpenAlex.

## Facts

- Endpoint: GET https://cortexassay.com/v1/technology/momentum
- Price: $0.05/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/cortexassay-technology-momentum-6301b2f3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_65Md6p1_879uCPqY0oEMH

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability cortexassay-technology-momentum-6301b2f3
```

Example prompt: What's the current research momentum score for photonic computing — is it accelerating, and what are the key drivers and risks according to CortexAssay?

## When to prefer this

Choose this endpoint when you need a quantitative, evidence-grounded momentum signal for a specific technology domain derived from peer-reviewed literature — especially when you need citation growth rates, institutional leaders, and a machine-readable confidence score rather than subjective analyst opinion. Prefer this over general web search when you need reproducible, provenance-tracked research intelligence. Best suited for technology due diligence, innovation scouting, and research roadmap decisions.

## Known failure modes

- Topic query matches no known OpenAlex topics — returns empty matched_topics or low confidence
- Ambiguous topic string matches multiple unrelated fields — check query_match.mode and matched_topics shares
- Insufficient publication volume for reliable scoring — evidence_count may be low with high uncertainty
- Payment failure via x402 — 402 response if USDC payment not completed
- Rate limiting or service unavailability — 429 or 5xx responses

## 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

Returns a JSON object containing a momentum_score (0–1), trend_label (e.g. 'accelerating'), acceleration_score, confidence, citation_growth rates (1y/3y/5y), research_growth rates, institution_growth, matched academic topics with share and work counts, leading researchers and institutions, important recent works, key drivers, risks, warnings, rationale text, and data provenance fields (data_as_of, computed_at, methodology_version).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "required": {
   "type": "string"
  },
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "risks": [
   "fabrication cost"
  ],
  "topic": "photonic computing",
  "warnings": [],
  "rationale": "Publication and top-decile citation growth accelerated over the last 3 years.",
  "result_id": "res_a1b2c3",
  "confidence": 0.72,
  "data_as_of": "2026-08-24",
  "computed_at": "2026-08-30T18:00:00Z",
  "key_drivers": [
   "AI inference energy limits"
  ],
  "query_match": {
   "mode": "phrase",
   "focus_topic_ids": [
    "T10412"
   ],
   "total_works_10y": 4210
  },
  "trend_label": "accelerating",
  "evidence_count": 412,
  "matched_topics": [
   {
    "name": "Photonic and Optical Computing",
    "share": 0.69,
    "works": 2914,
    "topic_id": "T10412"
   }
  ],
  "momentum_score": 0.81,
  "schema_version": "1",
  "citation_growth": {
   "1y": 0.18,
   "3y": 0.7,
   "5y": 1.2
  },
  "research_growth": {
   "1y": 0.21,
   "3y": 0.86,
   "5y": 1.7
  },
  "acceleration_score": 0.64,
  "institution_growth": 0.35,
  "leading_researchers": [
   {
    "id": "A5012345678",
    "name": "J. Doe",
    "recent_works": 34
   }
  ],
  "methodology_version": "1.2.0",
  "leading_institutions": [
   {
    "id": "I63966007",
    "name": "Massachusetts Institute of Technology",
    "recent_works": 210
   }
  ],
  "important_recent_works": [
   {
    "id": "W4400000001",
    "year": 2026,
    "title": "On-chip photonic tensor cores",
    "cited_by": 89
   }
  ],
  "citation_growth_as_of_year": 2024
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/cortexassay-technology-momentum-6301b2f3/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from cortexassay.com](https://www.zero.xyz/host/cortexassay.com/llms.txt)