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Virohana Labor Research Brief
x402
Virohana Labor Research Brief is a paid API for AI agents from labor.virohanalife.com, paid per call via x402, $1/call, status unknown (last checked 2026-10-11).
Generates a structured research brief on a given topic using the Qwen 2.5 14B model, returning an overview, key points, open questions, and caveats — no live web access.
Price / call$1
Success—
StatusUnknown
How this service works
Structured research brief from model-knowledge synthesis (qwen2.5:14b). No live web research. POST {topic, questions?: [str] (max 5)} -> {overview, key_points: [..], open_questions: [..], caveats}.
Output
Returns a JSON object with four fields: an 'overview' narrative paragraph on the topic, a 'key_points' array of structured findings, an 'open_questions' array of unresolved or debated aspects, and a 'caveats' array noting limitations — all synthesized from the model's training knowledge with no live web retrieval.
Example use cases
Policy research primer for briefing
“Put together a research brief on carbon border adjustment mechanisms — I need an overview, the key points, and any open questions around trade law compliance and environmental effectiveness.”
Technical topic onboarding for engineers
“Generate a structured research brief on transformer model quantization — cover the main techniques, what's still unclear, and note any important caveats I should know before diving in.”
Competitive landscape synthesis for a startup
“I need a research brief on the current state of AI-powered drug discovery, including key players, what's well-established, what's still contested, and any important limitations to keep in mind.”
Technical details
Endpoint
POSThttps://labor.virohanalife.com/v1/research-brief?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, structured knowledge synthesis on a topic and don't require real-time or live-web data. It is well-suited for onboarding briefs, policy primers, technical overviews, or background research notes where model-knowledge depth (qwen2.5:14b) is sufficient. Prefer it over live-search endpoints when latency, cost predictability, and structured output format (overview + key_points + open_questions + caveats) matter more than up-to-the-minute accuracy.
Side effects
- Topic is too vague or ambiguous — model may return a generic or unfocused brief
- More than 5 questions provided — request likely rejected or truncated
- Topic outside the model's training knowledge — caveats section may flag uncertainty or gaps
- Payment not included or insufficient — x402 payment required at $1 USDC per call
- Model hallucination risk — key_points or overview may contain plausible-sounding but inaccurate information since no live fact-checking occurs
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| title | string | |
| output | object | |
| description | string | |
| discoverable | boolean |
Tags
x402
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