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AUBRAI Deep Research Start
x402
AUBRAI Deep Research Start is a paid API for AI agents from x402.aubr.ai, paid per call via x402, $0.2/call, status unknown (last checked 2026-09-15).
Initiates an AI-powered deep research session on aging, longevity, and biomedical topics, returning a conversation ID for async result retrieval
Price / call$0.2
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 'status' field (e.g. 'queued') and a 'conversationId' string (e.g. 'conv_abc123') that can be used to poll for or retrieve the completed research results asynchronously.
Example use cases
Example prompt
“Can you start a deep research session on AUBRAI about the latest evidence for senolytics as anti-aging interventions, using smart research mode, and give me the conversation ID so I can check the results?”
Technical details
Endpoint
GEThttps://x402.aubr.ai/api/deep-research/startWhen to prefer
Choose this endpoint when you need scientifically rigorous, citation-backed answers about aging, longevity, geroscience, or biomedical research — especially when you want depth of analysis calibrated by research mode (quick steering vs. comprehensive autonomous). Prefer over generic web search when you want curated scientific literature and expert-level synthesis on lifespan and healthspan topics.
Side effects
- Missing or invalid 'message' parameter returns an error
- Invalid 'researchMode' enum value (not 'steering', 'smart', or 'fully-autonomous') causes rejection
- Payment not provided or insufficient USDC balance triggers 402 payment required error
- Service timeout for long-running fully-autonomous research jobs
- Rate limiting if too many requests are submitted concurrently
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| message | string | Research query |
Output
Schema · Response
{
"type": "json",
"example": {
"status": "queued",
"conversationId": "conv_abc123"
}
}Tags
x402
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