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CitePulse Topic Scan
x402
CitePulse Topic Scan is a paid API for AI agents from citepulse.theaslangroupllc.com, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-15).
Scans a research field for rising topics by retrieving top-cited and recent works from OpenAlex, then synthesizes what's currently trending, what's foundational, and where coverage is thin.
Price / call$0.2
Success—
StatusUnknown
How this service works
Rising-topics scan for a research field — retrieves top-cited/recent works from OpenAlex for a topic and synthesizes what's currently rising, what's foundational, and where coverage is thin. Built for research-strategy agents scanning a field before a literature review or grant proposal.
Output
A synthesized analysis of the research field including: currently rising/trending topics, foundational works and highly-cited papers, and areas with thin or sparse literature coverage — sourced from OpenAlex data.
Example use cases
Identify emerging AI safety research gaps
“I'm starting a new research initiative on AI safety. Can you scan that field and show me what topics are trending right now, which foundational papers I should definitely read, and where I'll find the least explored areas?”
Guide postdoc research direction selection
“I'm a postdoc trying to pick my next research direction in deep learning. Scan that landscape for me — what's heating up, what are the canonical papers everyone cites, and what underexplored corners might give me a unique angle?”
Benchmark competitive grant proposal positioning
“We're writing a grant on federated learning systems. Before we draft it, can you analyze that research field to show us what's trending, what's established baseline knowledge, and which gaps we could uniquely address that haven't been covered much yet?”
Technical details
Endpoint
GEThttps://citepulse.theaslangroupllc.com/api/topic-scanWhen to prefer
Use this endpoint when an AI agent needs a high-level strategic overview of a research field before conducting a deeper literature review or drafting a grant proposal — especially when you need to identify not just top papers but emerging trends and coverage gaps simultaneously. Prefer this over general paper-search endpoints when you need synthesized insight rather than a raw list of results.
Side effects
- Unknown or overly broad topic returns no meaningful results
- OpenAlex has limited coverage for very niche or new fields
- Topic string too vague causes irrelevant synthesis
- Rate limiting or payment failure returns 402 error
- Ambiguous topic name maps to unintended field
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"topic": "Quantum Computing Algorithms and Architecture",
"rising_signals": [
{
"doi": "10.xxxx/yyyy",
"observation": "Surface-code decoding papers accelerating",
"supporting_work": "string"
}
],
"state_of_field": "Error-correction and near-term algorithm design dominate current output..."
}
}Tags
x402
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