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AUBRAI Longevity & Aging Science Analysis
x402
AUBRAI Longevity & Aging Science Analysis is a paid API for AI agents from x402.aubr.ai, paid per call via x402, $0.05/call, status unknown (last checked 2026-09-15).
Answers questions about aging, longevity, and biomedical research with evidence-based insights and scientific paper citations, acting as an AI agent inspired by Dr. Aubrey de Grey
Price / call$0.05
Success—
StatusUnknown
How this service works
Aubrai is an AI science agent inspired by Dr. Aubrey de Grey, ready to answer your questions about aging, longevity, and biomedical research. Get clear, evidence-based insights and direct citations from the latest scientific papers—just start the conversation
Output
A JSON object containing a task ID, a direct answer to the question, a full analysis, and a completion status. The directAnswer field provides a concise response while the answer field contains a deeper, citation-backed explanation drawn from recent scientific literature.
Example use cases
Example prompt
“Ask AUBRAI to explain the current scientific evidence on senolytics as an anti-aging intervention — specifically what the latest papers say about their efficacy in humans and any known side effects.”
Technical details
Endpoint
GEThttps://x402.aubr.ai/api/analysisWhen to prefer
Choose this endpoint when a user needs expert-level, evidence-based answers about aging science, longevity research, or biomedical topics — especially when citations from recent scientific papers are required. It is distinct from general-purpose LLMs because it is specialized in geroscience and longevity literature, inspired by Dr. Aubrey de Grey's SENS framework. Prefer it over generic search or AI when the user wants synthesis of cutting-edge aging biology research.
Side effects
- Missing or empty taskDescription returns an error or empty response
- Invalid fileIds that don't exist in the system may cause lookup failure
- Overly vague questions may yield generic responses without specific citations
- Payment failure via x402 protocol results in 402 response before analysis begins
- Rate limiting or server overload may delay or fail the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| fileIds | array | Optional uploaded file IDs |
| taskDescription | string | Analysis task description |
Output
Schema · Response
{
"type": "json",
"example": {
"id": "task_abc123",
"answer": "...",
"status": "completed",
"directAnswer": "..."
}
}Tags
x402
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